# Datafold

- [Datafold](https://docs.datafold.com/welcome.md): Datafold delivers data platform migrations with guaranteed outcomes and gives data teams value-level data diffs and monitors to validate their data — from the app, the API, or their coding agents via MCP.
- [Which version am I on?](https://docs.datafold.com/which-version.md): Datafold runs two versions of its app. Find out which one you use, and which docs apply to you.
- [MCP](https://docs.datafold.com/datafold-mcp.md): Connect your AI agent to Datafold and interact with your data through natural language
- [Migration Automation](https://docs.datafold.com/data-migration-automation/datafold-migration-automation.md): Modernize your data platform in weeks, not years. Datafold's Data Migration Agent delivers guaranteed-outcome migrations with fixed price, timeline, and data parity — over 6x faster and cheaper than traditional approaches.
- [Datafold Migration Agent](https://docs.datafold.com/data-migration-automation/datafold-migration-agent.md): The Data Migration Agent delivers guaranteed-outcome migrations with fixed price, timeline, and data parity — over 6x faster than traditional approaches.
- [What's a Data Diff?](https://docs.datafold.com/data-diff/what-is-data-diff.md): A data diff is the value-level comparison between two tables, used to identify critical changes to your data and guarantee data quality.
- [How Datafold Diffs Data](https://docs.datafold.com/data-diff/how-datafold-diffs-data.md): Data diffs allow you to perform value-level comparisons between any two datasets within the same database, across different databases, or even between files.
- [Creating a New Data Diff](https://docs.datafold.com/data-diff/in-database-diffing/creating-a-new-data-diff.md): Setting up a new data diff in Datafold is straightforward.
- [Results](https://docs.datafold.com/data-diff/in-database-diffing/results.md): Once your data diff is complete, Datafold provides a concise, high-level summary of the detected changes in the Overview tab
- [Best Practices](https://docs.datafold.com/data-diff/in-database-diffing/best-practices.md): We share best practices that will help you get the most accurate and efficient results from your data diffs.
- [Creating a New Data Diff](https://docs.datafold.com/data-diff/cross-database-diffing/creating-a-new-data-diff.md): Datafold's Data Diff can compare data across databases (e.g., PostgreSQL <> Snowflake, or between two SQL Server instances) to validate migrations, meet regulatory and compliance requirements, or ensure data is flowing successfully from source to target.
- [Results](https://docs.datafold.com/data-diff/cross-database-diffing/results.md): Once your data diff is complete, Datafold provides a concise, high-level summary of the detected changes in the Overview tab.
- [Best Practices](https://docs.datafold.com/data-diff/cross-database-diffing/best-practices.md): When dealing with large datasets, it's crucial to approach diffing with specific optimization strategies in mind. We share best practices that will help you get the most accurate and efficient results from your data diffs.
- [File Diffing](https://docs.datafold.com/data-diff/file-diffing.md): Datafold allows you to diff files (e.g. CSV, Excel, Parquet, etc.) in a similar way to how you diff tables.
- [Connection Budgets](https://docs.datafold.com/data-diff/connection-budgets.md): How connection budgets are enforced across data diffs in Datafold
- [Monitor Types](https://docs.datafold.com/data-monitoring/monitor-types.md): Monitoring your data for unexpected changes is one of the cornerstones of data observability.
- [Data Diff Monitors](https://docs.datafold.com/data-monitoring/monitors/data-diff-monitors.md): Data Diff monitors compare datasets across or within databases on a schedule, and mark each run OK or Alert against your thresholds.
- [Monitors as Code](https://docs.datafold.com/data-monitoring/monitors-as-code.md): Manage Datafold monitors via version-controlled YAML for greater scalability, governance, and flexibility in code-based workflows.
- [Set Up Your Data Connection](https://docs.datafold.com/integrations/databases.md): Set up your Data Connection with Datafold.
- [Snowflake](https://docs.datafold.com/integrations/databases/snowflake.md): Connect Datafold to Snowflake for data diffing and migration validation. Includes setup instructions and required permissions.
- [Snowflake key-pair authentication](https://docs.datafold.com/integrations/databases/snowflake-key-pair-authentication.md): Move an existing Datafold Snowflake connection from password to key-pair authentication and make the Datafold user a Snowflake SERVICE user before Snowflake blocks password sign-ins.
- [BigQuery](https://docs.datafold.com/integrations/databases/bigquery.md)
- [Athena](https://docs.datafold.com/integrations/databases/athena.md)
- [Redshift](https://docs.datafold.com/integrations/databases/redshift.md)
- [Databricks](https://docs.datafold.com/integrations/databases/databricks.md): Connect Datafold to Databricks for data diffing and migration validation. Includes setup instructions and required permissions.
- [PostgreSQL](https://docs.datafold.com/integrations/databases/postgresql.md)
- [Microsoft SQL Server](https://docs.datafold.com/integrations/databases/sql-server.md): Connect Datafold to Microsoft SQL Server for data diffing, reconciliation, and migration validation. Includes setup instructions and required permissions.
- [Azure Synapse Analytics](https://docs.datafold.com/integrations/databases/synapse.md): Connect Datafold to Azure Synapse Analytics for data diffing, reconciliation, and migration validation. Includes setup instructions and required permissions.
- [Oracle](https://docs.datafold.com/integrations/databases/oracle.md): Connect Datafold to Oracle Database for data diffing, reconciliation, and migration validation. Includes setup instructions and required permissions.
- [MySQL](https://docs.datafold.com/integrations/databases/mysql.md)
- [Dremio](https://docs.datafold.com/integrations/databases/dremio.md)
- [SAP HANA](https://docs.datafold.com/integrations/databases/sap-hana.md)
- [Starburst](https://docs.datafold.com/integrations/databases/starburst.md)
- [Teradata](https://docs.datafold.com/integrations/databases/teradata.md)
- [Netezza](https://docs.datafold.com/integrations/databases/netezza.md)
- [MariaDB](https://docs.datafold.com/integrations/databases/mariadb.md)
- [IBM Db2](https://docs.datafold.com/integrations/databases/ibm-db2.md)
- [Microsoft Fabric Data Warehouse](https://docs.datafold.com/integrations/databases/microsoft-fabric.md)
- [OAuth Support](https://docs.datafold.com/integrations/oauth.md): Set up OAuth App Connections in your supported data warehouses to securely execute data diffs on behalf of your users.
- [Slack Bot](https://docs.datafold.com/integrations/agents/slack-bot.md): Datafold Assistant — a conversational Slack bot that answers questions about your data using Datafold's MCP tools, with each Slack user's own Datafold permissions or a bound service account's.
- [Bring Your Own LLM Provider](https://docs.datafold.com/integrations/llm-providers.md): Run Datafold's AI features on your own LLM inference provider and credentials.
- [OpenAI-compatible](https://docs.datafold.com/integrations/llm-providers/openai-compatible.md)
- [OpenAI](https://docs.datafold.com/integrations/llm-providers/openai.md)
- [Anthropic](https://docs.datafold.com/integrations/llm-providers/anthropic.md)
- [Google Gemini](https://docs.datafold.com/integrations/llm-providers/google-gemini.md)
- [Azure AI Foundry](https://docs.datafold.com/integrations/llm-providers/azure-ai-foundry.md)
- [AWS Bedrock](https://docs.datafold.com/integrations/llm-providers/aws-bedrock.md)
- [Google Vertex AI](https://docs.datafold.com/integrations/llm-providers/google-vertex-ai.md)
- [Databricks](https://docs.datafold.com/integrations/llm-providers/databricks.md)
- [Snowflake Cortex](https://docs.datafold.com/integrations/llm-providers/snowflake-cortex.md)
- [Integrate with Code Repositories](https://docs.datafold.com/integrations/code-repositories.md): Connect your code repositories with Datafold.
- [GitHub](https://docs.datafold.com/integrations/code-repositories/github.md): Connect Datafold to GitHub so Datafold can read your codebase and open pull requests for migration projects.
- [GitLab](https://docs.datafold.com/integrations/code-repositories/gitlab.md)
- [Bitbucket](https://docs.datafold.com/integrations/code-repositories/bitbucket.md)
- [Azure DevOps](https://docs.datafold.com/integrations/code-repositories/azure-devops.md)
- [Datafold Deployment Options](https://docs.datafold.com/datafold-deployment/datafold-deployment-options.md): Datafold operates every deployment, either in Datafold's cloud (multi-tenant or dedicated) or in your own AWS, GCP, or Azure account.
- [Compliance & Trust Center](https://docs.datafold.com/security/compilance-trust-center.md)
- [Securing Connections](https://docs.datafold.com/security/securing-connections.md): Datafold supports multiple options to secure connections between your resources (e.g., databases and cloud storage) and Datafold.
- [AWS PrivateLink Setup Guide](https://docs.datafold.com/security/aws_privatelink_setup.md): Step-by-step guide to setting up AWS PrivateLink for secure Datafold connections
- [User Roles and Permissions](https://docs.datafold.com/security/user-roles-and-permissions.md): Datafold uses role-based access control to manage user permissions and actions.
- [Service Accounts](https://docs.datafold.com/security/service-accounts.md): Machine identities for CI, integrations, and scripts. Service accounts own their own API keys, inherit permissions from groups, and are managed independently of human users.
- [MCP Tool Permissions](https://docs.datafold.com/security/mcp-tool-permissions.md): Which permissions each MCP tool requires. Use this reference when scoping a service account's group for MCP use.
- [Single Sign-On](https://docs.datafold.com/security/single-sign-on.md): Set up Single Sign-On with one of the following options.
- [Okta (OIDC)](https://docs.datafold.com/security/single-sign-on/okta.md): Configure Okta OIDC single sign-on (SSO) for Datafold. Step-by-step setup instructions for authenticating your team with Okta.
- [Google OAuth](https://docs.datafold.com/security/single-sign-on/google-oauth.md): Configure Google OAuth single sign-on (SSO) for Datafold. Step-by-step setup instructions for authenticating your team with Google.
- [SAML](https://docs.datafold.com/security/single-sign-on/saml.md): SAML (Security Assertion Markup Language) is a protocol that enables secure user authentication by integrating Identity Providers (IdPs) with Service Providers (SPs).
- [Group Provisioning](https://docs.datafold.com/security/single-sign-on/saml/group-provisioning.md): Automatically sync group membership with your SAML Identity Provider (IdP).
- [Okta](https://docs.datafold.com/security/single-sign-on/saml/examples/okta.md)
- [Microsoft Entra ID](https://docs.datafold.com/security/single-sign-on/saml/examples/microsoft-entra-id-configuration.md): Configure Microsoft Entra ID (Azure AD) as a SAML identity provider for Datafold SSO. Step-by-step setup and configuration guide.
- [Google](https://docs.datafold.com/security/single-sign-on/saml/examples/google.md)
- [Support](https://docs.datafold.com/support/support.md): Datafold offers multiple support channels to assist users with troubleshooting and inquiries.
- [FAQ](https://docs.datafold.com/support/faq-redirect.md)
- [Datafold API](https://docs.datafold.com/api-reference/datafold-api.md): Datafold REST API reference for programmatic access to data diffs, data sources, monitors, and audit logs.
- [Introduction](https://docs.datafold.com/api-reference/introduction.md): Get started with the Datafold REST API. Learn how to authenticate, obtain an API key, and make your first API call.
- [MCP Server](https://docs.datafold.com/api-reference/mcp-server-setup.md): Connect AI assistants to Datafold using the Model Context Protocol
- [List data sources](https://docs.datafold.com/api-reference/data-sources/list-data-sources.md): List all configured data sources in your Datafold organization via the API.
- [Create a data source](https://docs.datafold.com/api-reference/data-sources/create-a-data-source.md): Create a new data source connection via the Datafold API.
- [Get data source testing results](https://docs.datafold.com/api-reference/data-sources/get-data-source-testing-results.md): Retrieve the testing results for a data source connection via the Datafold API.
- [List data source types](https://docs.datafold.com/api-reference/data-sources/list-data-source-types.md): List all supported data source types available in the Datafold API.
- [Get a data source](https://docs.datafold.com/api-reference/data-sources/get-a-data-source.md): Retrieve details of a specific data source by ID via the Datafold API.
- [Get a data source summary](https://docs.datafold.com/api-reference/data-sources/get-a-data-source-summary.md): Get a summary of a specific data source by ID via the Datafold API.
- [Test a data source connection](https://docs.datafold.com/api-reference/data-sources/test-a-data-source-connection.md): Test the connection of a specific data source via the Datafold API.
- [Execute a SQL query against a data source](https://docs.datafold.com/api-reference/data-sources/execute-a-sql-query-against-a-data-source.md): Execute a sql query against a data source via the Datafold API.
- [List data diffs](https://docs.datafold.com/api-reference/data-diffs/list-data-diffs.md): List all data diffs in your Datafold organization via the API.
- [Create a data diff](https://docs.datafold.com/api-reference/data-diffs/create-a-data-diff.md): Create a new data diff to compare datasets via the Datafold API.
- [Get a data diff](https://docs.datafold.com/api-reference/data-diffs/get-a-data-diff.md): Retrieve details of a specific data diff by ID via the Datafold API.
- [Update a data diff](https://docs.datafold.com/api-reference/data-diffs/update-a-data-diff.md): Update the configuration of an existing data diff via the Datafold API.
- [Get a data diff summary](https://docs.datafold.com/api-reference/data-diffs/get-a-data-diff-summary.md): Get the summary results of a specific data diff via the Datafold API.
- [Get a human-readable summary of a DataDiff comparison](https://docs.datafold.com/api-reference/data-diffs/get-a-data-diff-summary-overview.md): Get a human-readable summary of a data diff via the Datafold API.
- [Cancel a running data diff](https://docs.datafold.com/api-reference/data-diffs/cancel-a-running-data-diff.md): Cancel a running data diff via the Datafold API.
- [List monitors](https://docs.datafold.com/api-reference/monitors/list-monitors.md): List data diff monitors via the Datafold API.
- [Get a monitor](https://docs.datafold.com/api-reference/monitors/get-monitor.md): Get a data diff monitor via the Datafold API.
- [Create a data diff monitor](https://docs.datafold.com/api-reference/monitors/create-a-data-diff-monitor.md): Create a data diff monitor via the Datafold API.
- [Update a monitor](https://docs.datafold.com/api-reference/monitors/update-a-monitor.md): Update a data diff monitor via the Datafold API.
- [Enable or disable a monitor](https://docs.datafold.com/api-reference/monitors/toggle-a-monitor.md): Enable or disable a data diff monitor via the Datafold API.
- [Delete a monitor](https://docs.datafold.com/api-reference/monitors/delete-a-monitor.md): Delete a data diff monitor via the Datafold API.
- [Trigger a run](https://docs.datafold.com/api-reference/monitors/trigger-a-run.md): Trigger a run of a data diff monitor via the Datafold API.
- [List a monitor's runs](https://docs.datafold.com/api-reference/monitors/list-monitor-runs.md): List the runs of a data diff monitor via the Datafold API.
- [Get a monitor run](https://docs.datafold.com/api-reference/monitors/get-monitor-run.md): Get a run of a data diff monitor via the Datafold API.
- [Get Audit Logs](https://docs.datafold.com/api-reference/audit-logs/get-audit-logs.md): Retrieve audit logs for your Datafold organization via the API.
- [Get Audit Logs](https://docs.datafold.com/api-reference/audit-logs/get-audit-logs.md): Retrieve audit logs for your Datafold organization via the API.
- [List data sources](https://docs.datafold.com/api-reference/data-sources/list-data-sources.md): List all configured data sources in your Datafold organization via the API.
- [Create a data source](https://docs.datafold.com/api-reference/data-sources/create-a-data-source.md): Create a new data source connection via the Datafold API.
- [Get data source testing results](https://docs.datafold.com/api-reference/data-sources/get-data-source-testing-results.md): Retrieve the testing results for a data source connection via the Datafold API.
- [List data source types](https://docs.datafold.com/api-reference/data-sources/list-data-source-types.md): List all supported data source types available in the Datafold API.
- [Get a data source](https://docs.datafold.com/api-reference/data-sources/get-a-data-source.md): Retrieve details of a specific data source by ID via the Datafold API.
- [Execute a SQL query against a data source](https://docs.datafold.com/api-reference/data-sources/execute-a-sql-query-against-a-data-source.md): Execute a sql query against a data source via the Datafold API.
- [Get a data source summary](https://docs.datafold.com/api-reference/data-sources/get-a-data-source-summary.md): Get a summary of a specific data source by ID via the Datafold API.
- [Test a data source connection](https://docs.datafold.com/api-reference/data-sources/test-a-data-source-connection.md): Test the connection of a specific data source via the Datafold API.
- [List data diffs](https://docs.datafold.com/api-reference/data-diffs/list-data-diffs.md): List all data diffs in your Datafold organization via the API.
- [Create a data diff](https://docs.datafold.com/api-reference/data-diffs/create-a-data-diff.md): Create a new data diff to compare datasets via the Datafold API.
- [Get a data diff](https://docs.datafold.com/api-reference/data-diffs/get-a-data-diff.md): Retrieve details of a specific data diff by ID via the Datafold API.
- [Update a data diff](https://docs.datafold.com/api-reference/data-diffs/update-a-data-diff.md): Update the configuration of an existing data diff via the Datafold API.
- [Cancel a running data diff](https://docs.datafold.com/api-reference/data-diffs/cancel-a-running-data-diff.md): Cancel a running data diff via the Datafold API.
- [Get a human-readable summary of a DataDiff comparison](https://docs.datafold.com/api-reference/data-diffs/get-a-human-readable-summary-of-a-datadiff-comparison.md): Retrieves a comprehensive, human-readable summary of a completed data diff.
- [Get a data diff summary](https://docs.datafold.com/api-reference/data-diffs/get-a-data-diff-summary.md): Get the summary results of a specific data diff via the Datafold API.
- [List monitors](https://docs.datafold.com/api-reference/monitors/list-monitors.md): List data diff monitors via the Datafold API.
- [Create a data diff monitor](https://docs.datafold.com/api-reference/monitors/create-a-data-diff-monitor.md): Create a data diff monitor via the Datafold API.
- [Get a monitor](https://docs.datafold.com/api-reference/monitors/get-a-monitor.md)
- [Delete a monitor](https://docs.datafold.com/api-reference/monitors/delete-a-monitor.md): Delete a data diff monitor via the Datafold API.
- [Trigger a run](https://docs.datafold.com/api-reference/monitors/trigger-a-run.md): Trigger a run of a data diff monitor via the Datafold API.
- [List a monitor's runs](https://docs.datafold.com/api-reference/monitors/list-a-monitors-runs.md)
- [Get a monitor run](https://docs.datafold.com/api-reference/monitors/get-a-monitor-run.md)
- [Enable or disable a monitor](https://docs.datafold.com/api-reference/monitors/enable-or-disable-a-monitor.md)
- [Update a monitor](https://docs.datafold.com/api-reference/monitors/update-a-monitor.md): Update a data diff monitor via the Datafold API.
- [Overview](https://docs.datafold.com/faq/overview.md): Get answers to the most common questions regarding our product.
- [Data Diffing](https://docs.datafold.com/faq/data-diffing.md): Frequently asked questions about Datafold's data diffing capabilities, including supported databases, data types, performance, and use cases.
- [Data Migration Automation](https://docs.datafold.com/faq/data-migration-automation.md): Frequently asked questions about Datafold's Data Migration Agent, including supported platforms, migration timelines, validation, and security.
- [Data Reconciliation](https://docs.datafold.com/faq/data-reconciliation.md): Frequently asked questions about cross-database data reconciliation with Datafold, including how diffing works, scaling, and handling schema differences.
- [Data Storage and Security](https://docs.datafold.com/faq/data-storage-and-security.md)
- [Performance and Scalability](https://docs.datafold.com/faq/performance-and-scalability.md)
- [Resource Management](https://docs.datafold.com/faq/resource-management.md): Frequently asked questions about Datafold's resource consumption, data warehouse cost impact, and performance optimization.
- [Datafold](https://docs.datafold.com/classic/welcome.md): Documentation for Datafold Classic, with data diffs, CI/CD testing, data monitoring, lineage, and the MCP server, on app.datafold.com, eu.datafold.com, and Classic Dedicated Cloud deployments.
- [Which version am I on?](https://docs.datafold.com/classic/which-version.md): Datafold runs two versions of its app. Find out which one you use, and which docs apply to you.
- [MCP](https://docs.datafold.com/classic/datafold-mcp.md): Connect your AI agent to Datafold and interact with your data through natural language
- [Migration Automation](https://docs.datafold.com/classic/data-migration-automation/datafold-migration-automation.md): Modernize your data platform in weeks, not years. Datafold's Data Migration Agent delivers guaranteed-outcome migrations with fixed price, timeline, and data parity — over 6x faster and cheaper than traditional approaches.
- [Datafold Migration Agent](https://docs.datafold.com/classic/data-migration-automation/datafold-migration-agent.md): The Data Migration Agent delivers guaranteed-outcome migrations with fixed price, timeline, and data parity — over 6x faster than traditional approaches.
- [What's a Data Diff?](https://docs.datafold.com/classic/data-diff/what-is-data-diff.md): A data diff is the value-level comparison between two tables, used to identify critical changes to your data and guarantee data quality.
- [How Datafold Diffs Data](https://docs.datafold.com/classic/data-diff/how-datafold-diffs-data.md): Data diffs allow you to perform value-level comparisons between any two datasets within the same database, across different databases, or even between files.
- [Creating a New Data Diff](https://docs.datafold.com/classic/data-diff/in-database-diffing/creating-a-new-data-diff.md): Setting up a new data diff in Datafold is straightforward.
- [Results](https://docs.datafold.com/classic/data-diff/in-database-diffing/results.md): Once your data diff is complete, Datafold provides a concise, high-level summary of the detected changes in the Overview tab
- [Best Practices](https://docs.datafold.com/classic/data-diff/in-database-diffing/best-practices.md): We share best practices that will help you get the most accurate and efficient results from your data diffs.
- [Creating a New Data Diff](https://docs.datafold.com/classic/data-diff/cross-database-diffing/creating-a-new-data-diff.md): Datafold's Data Diff can compare data across databases (e.g., PostgreSQL <> Snowflake, or between two SQL Server instances) to validate migrations, meet regulatory and compliance requirements, or ensure data is flowing successfully from source to target.
- [Results](https://docs.datafold.com/classic/data-diff/cross-database-diffing/results.md): Once your data diff is complete, Datafold provides a concise, high-level summary of the detected changes in the Overview tab.
- [Best Practices](https://docs.datafold.com/classic/data-diff/cross-database-diffing/best-practices.md): When dealing with large datasets, it's crucial to approach diffing with specific optimization strategies in mind. We share best practices that will help you get the most accurate and efficient results from your data diffs.
- [File Diffing](https://docs.datafold.com/classic/data-diff/file-diffing.md): Datafold allows you to diff files (e.g. CSV, Excel, Parquet, etc.) in a similar way to how you diff tables.
- [Connection Budgets](https://docs.datafold.com/classic/data-diff/connection-budgets.md): How connection budgets are enforced across data diffs in Datafold
- [How Datafold in CI Works](https://docs.datafold.com/classic/deployment-testing/how-it-works.md): Learn how Datafold integrates with your Continuous Integration (CI) process with Data Diffs and AI Code Reviews, catching issues before they make it into production.
- [AI Code Reviews](https://docs.datafold.com/classic/deployment-testing/ai-code-reviews.md): Get automated, AI-powered code reviews on every pull request to catch SQL and data pipeline issues before they reach production.
- [Getting Started with CI/CD Testing](https://docs.datafold.com/classic/deployment-testing/getting-started.md): Learn how to set up CI/CD testing with Datafold by integrating your data connections, code repositories, and CI pipeline for automated testing.
- [No-Code](https://docs.datafold.com/classic/deployment-testing/getting-started/universal/no-code.md): Set up Datafold's No-Code CI integration to create and manage Data Diffs without writing code.
- [API](https://docs.datafold.com/classic/deployment-testing/getting-started/universal/api.md): Learn how to set up and configure Datafold's API for CI/CD testing.
- [Configuration](https://docs.datafold.com/classic/deployment-testing/configuration.md): Explore configuration options for CI/CD testing in Datafold.
- [Primary Key Inference](https://docs.datafold.com/classic/deployment-testing/configuration/primary-key.md): Datafold requires a primary key to perform data diffs. Using dbt metadata, Datafold identifies the column to use as the primary key for accurate data diffs.
- [Column Remapping](https://docs.datafold.com/classic/deployment-testing/configuration/column-remapping.md): Specify column renaming in your git commit message so Datafold can map renamed columns to their original counterparts in production for accurate comparison.
- [Running Data Diff for Specific PRs/MRs](https://docs.datafold.com/classic/deployment-testing/configuration/datafold-ci/on-demand.md): By default, Datafold CI runs on every new pull/merge request and commits to existing ones.
- [Running Data Diff on Specific Branches](https://docs.datafold.com/classic/deployment-testing/configuration/datafold-ci/specifc.md): By default, Datafold CI runs on every new pull/merge request and commits to existing ones.
- [SQL Filters](https://docs.datafold.com/classic/deployment-testing/configuration/model-specific-ci/sql-filters.md): Use dbt YAML configuration to set model-specific filters for Datafold CI.
- [Time Travel](https://docs.datafold.com/classic/deployment-testing/configuration/model-specific-ci/time-travel.md): Use `prod_time_travel` and `pr_time_travel` to diff tables from specific points in time.
- [Including/Excluding Columns](https://docs.datafold.com/classic/deployment-testing/configuration/model-specific-ci/including-excluding-columns.md): Specify columns to include or exclude from the data diff using `include_columns` and `exclude_columns`.
- [Excluding Models](https://docs.datafold.com/classic/deployment-testing/configuration/model-specific-ci/excluding-models.md): Use `never_diff` to exclude a model or subdirectory of models from data diffs.
- [Slim Diff](https://docs.datafold.com/classic/deployment-testing/best-practices/slim-diff.md): Choose which downstream tables to diff to optimize time, cost, and performance.
- [Handling Data Drift](https://docs.datafold.com/classic/deployment-testing/best-practices/handling-data-drift.md): Ensuring Datafold in CI executes apples-to-apples comparison between staging and production environments.
- [Monitor Types](https://docs.datafold.com/classic/data-monitoring/monitor-types.md): Monitoring your data for unexpected changes is one of the cornerstones of data observability.
- [Data Diff Monitors](https://docs.datafold.com/classic/data-monitoring/monitors/data-diff-monitors.md): Data Diff monitors compare datasets across or within databases, identifying row and column discrepancies with customizable scheduling and notifications.
- [Metric Monitors](https://docs.datafold.com/classic/data-monitoring/monitors/metric-monitors.md): Metric monitors detect anomalies in your data using ML-based algorithms or manual thresholds, supporting standard and custom metrics for tables or columns.
- [Data Test Monitors](https://docs.datafold.com/classic/data-monitoring/monitors/data-test-monitors.md): Data Tests validate your data against off-the-shelf checks or custom business rules.
- [Schema Change Monitors](https://docs.datafold.com/classic/data-monitoring/monitors/schema-change-monitors.md): Schema Change monitors notify you when a table’s schema changes, such as when columns are added, removed, or data types are modified.
- [Monitors as Code](https://docs.datafold.com/classic/data-monitoring/monitors-as-code.md): Manage Datafold monitors via version-controlled YAML for greater scalability, governance, and flexibility in code-based workflows.
- [How It Works](https://docs.datafold.com/classic/data-explorer/how-it-works.md): Datafold's Data Explorer maps lineage and profiles across your data assets, helping you understand the impact of changes across systems.
- [Lineage](https://docs.datafold.com/classic/data-explorer/lineage.md): Datafold offers a column-level and tabular lineage view.
- [Profile](https://docs.datafold.com/classic/data-explorer/profile.md): View a data profile that summarizes key table and column-level statistics, and any upstream dependencies.
- [dbt Metadata Sync](https://docs.datafold.com/classic/data-explorer/best-practices/dbt-metadata-sync.md): Datafold can automatically ingest dbt metadata from your production environment and display it in Data Explorer.
- [Set Up Your Data Connection](https://docs.datafold.com/classic/integrations/databases.md): Set up your Data Connection with Datafold.
- [Snowflake](https://docs.datafold.com/classic/integrations/databases/snowflake.md): Connect Datafold to Snowflake for data diffing, CI/CD testing, lineage, and migration validation. Includes setup instructions and required permissions.
- [Snowflake key-pair authentication](https://docs.datafold.com/classic/integrations/databases/snowflake-key-pair-authentication.md): Move an existing Datafold Snowflake connection from password to key-pair authentication and make the Datafold user a Snowflake SERVICE user before Snowflake blocks password sign-ins.
- [BigQuery](https://docs.datafold.com/classic/integrations/databases/bigquery.md)
- [Athena](https://docs.datafold.com/classic/integrations/databases/athena.md)
- [Redshift](https://docs.datafold.com/classic/integrations/databases/redshift.md)
- [Databricks](https://docs.datafold.com/classic/integrations/databases/databricks.md): Connect Datafold to Databricks for data diffing, CI/CD testing, lineage, and migration validation. Includes setup instructions and required permissions.
- [PostgreSQL](https://docs.datafold.com/classic/integrations/databases/postgresql.md)
- [Microsoft SQL Server](https://docs.datafold.com/classic/integrations/databases/sql-server.md): Connect Datafold to Microsoft SQL Server for data diffing, reconciliation, and migration validation. Includes setup instructions and required permissions.
- [Azure Synapse Analytics](https://docs.datafold.com/classic/integrations/databases/synapse.md): Connect Datafold to Azure Synapse Analytics for data diffing, reconciliation, and migration validation. Includes setup instructions and required permissions.
- [Oracle](https://docs.datafold.com/classic/integrations/databases/oracle.md): Connect Datafold to Oracle Database for data diffing, reconciliation, and migration validation. Includes setup instructions and required permissions.
- [MySQL](https://docs.datafold.com/classic/integrations/databases/mysql.md)
- [Dremio](https://docs.datafold.com/classic/integrations/databases/dremio.md)
- [SAP HANA](https://docs.datafold.com/classic/integrations/databases/sap-hana.md)
- [Starburst](https://docs.datafold.com/classic/integrations/databases/starburst.md)
- [Teradata](https://docs.datafold.com/classic/integrations/databases/teradata.md)
- [Netezza](https://docs.datafold.com/classic/integrations/databases/netezza.md)
- [MariaDB](https://docs.datafold.com/classic/integrations/databases/mariadb.md)
- [IBM Db2](https://docs.datafold.com/classic/integrations/databases/ibm-db2.md)
- [Microsoft Fabric Data Warehouse](https://docs.datafold.com/classic/integrations/databases/microsoft-fabric.md)
- [OAuth Support](https://docs.datafold.com/classic/integrations/oauth.md): Set up OAuth App Connections in your supported data warehouses to securely execute data diffs on behalf of your users.
- [Slack Bot](https://docs.datafold.com/classic/integrations/agents/slack-bot.md): Datafold Assistant — a conversational Slack bot that answers questions about your data using Datafold's MCP tools, scoped via a service account.
- [Bring Your Own LLM Provider](https://docs.datafold.com/classic/integrations/llm-providers.md): Run the Datafold Migration Agent on your own LLM inference provider and credentials.
- [OpenAI-compatible](https://docs.datafold.com/classic/integrations/llm-providers/openai-compatible.md)
- [OpenAI](https://docs.datafold.com/classic/integrations/llm-providers/openai.md)
- [Anthropic](https://docs.datafold.com/classic/integrations/llm-providers/anthropic.md)
- [Google Gemini](https://docs.datafold.com/classic/integrations/llm-providers/google-gemini.md)
- [Azure AI Foundry](https://docs.datafold.com/classic/integrations/llm-providers/azure-ai-foundry.md)
- [AWS Bedrock](https://docs.datafold.com/classic/integrations/llm-providers/aws-bedrock.md)
- [Google Vertex AI](https://docs.datafold.com/classic/integrations/llm-providers/google-vertex-ai.md)
- [Databricks](https://docs.datafold.com/classic/integrations/llm-providers/databricks.md)
- [Snowflake Cortex](https://docs.datafold.com/classic/integrations/llm-providers/snowflake-cortex.md)
- [Integrate with Orchestrators](https://docs.datafold.com/classic/integrations/orchestrators.md): Integrate Datafold with dbt Core, dbt Cloud, Airflow, or custom orchestrators to streamline your data workflows with automated monitoring, testing, and seamless CI integration.
- [dbt Core](https://docs.datafold.com/classic/integrations/orchestrators/dbt-core.md): Set up Datafold’s integration with dbt Core to automate Data Diffs in your CI pipeline.
- [dbt Cloud](https://docs.datafold.com/classic/integrations/orchestrators/dbt-cloud.md): Integrate Datafold with dbt Cloud to automate Data Diffs in your CI pipeline, leveraging dbt jobs to detect changes and ensure data quality before merging.
- [Custom Integrations](https://docs.datafold.com/classic/integrations/orchestrators/custom-integrations.md): Integrate Datafold with your custom orchestration using the Datafold SDK and REST API.
- [Business Intelligence Integrations](https://docs.datafold.com/classic/integrations/bi-data-apps.md)
- [Looker](https://docs.datafold.com/classic/integrations/bi-data-apps/looker.md): Integrate Datafold with Looker to track BI lineage and understand the downstream impact of data changes on your Looker dashboards and Explores.
- [Tableau](https://docs.datafold.com/classic/integrations/bi-data-apps/tableau.md): Visualize downstream Tableau dependencies and understand how warehouse changes impact your BI layer.
- [Power BI](https://docs.datafold.com/classic/integrations/bi-data-apps/power-bi.md): Include Power BI entities in Data Explorer and column-level lineage.
- [Mode](https://docs.datafold.com/classic/integrations/bi-data-apps/mode.md)
- [Hightouch](https://docs.datafold.com/classic/integrations/bi-data-apps/hightouch.md): Navigate to Settings > Integrations > BI & Data Apps and add a Hightouch Integration.
- [Tracking Jobs](https://docs.datafold.com/classic/integrations/bi-data-apps/tracking-jobs.md): Track the completion and success of your data app integration syncs.
- [dbt Exposures](https://docs.datafold.com/classic/integrations/bi-data-apps/dbt.md): Incorporate dbt Exposures into your Datafold lineage.
- [Slack](https://docs.datafold.com/classic/integrations/notifications/slack.md): Receive notifications for monitors in Slack.
- [Microsoft Teams](https://docs.datafold.com/classic/integrations/notifications/microsoft-teams.md): Receive notifications for monitors in Microsoft Teams.
- [PagerDuty](https://docs.datafold.com/classic/integrations/notifications/pagerduty.md): Receive notifications for monitors in PagerDuty.
- [Integrate with Code Repositories](https://docs.datafold.com/classic/integrations/code-repositories.md): Connect your code repositories with Datafold.
- [GitHub](https://docs.datafold.com/classic/integrations/code-repositories/github.md): Connect Datafold to GitHub to enable automated data diffs on pull requests, CI/CD testing integration, and code-level lineage tracking.
- [GitLab](https://docs.datafold.com/classic/integrations/code-repositories/gitlab.md)
- [Bitbucket](https://docs.datafold.com/classic/integrations/code-repositories/bitbucket.md)
- [Azure DevOps](https://docs.datafold.com/classic/integrations/code-repositories/azure-devops.md)
- [Classic Deployment Options](https://docs.datafold.com/classic/datafold-deployment/classic-deployment-options.md): Deployment options for Datafold Classic, including multi-tenant SaaS and dedicated cloud (either customer- or Datafold-hosted).
- [Datafold VPC Deployment on AWS (Classic)](https://docs.datafold.com/classic/datafold-deployment/dedicated-cloud/aws.md): Learn how to deploy Datafold Classic in a Virtual Private Cloud (VPC) on AWS.
- [Datafold VPC Deployment on GCP (Classic)](https://docs.datafold.com/classic/datafold-deployment/dedicated-cloud/gcp.md): Learn how to deploy Datafold Classic in a Virtual Private Cloud (VPC) on GCP.
- [Datafold VPC Deployment on Azure (Classic)](https://docs.datafold.com/classic/datafold-deployment/dedicated-cloud/azure.md): Learn how to deploy Datafold Classic in a Virtual Private Cloud (VPC) on Azure.
- [Compliance & Trust Center](https://docs.datafold.com/classic/security/compilance-trust-center.md)
- [Securing Connections](https://docs.datafold.com/classic/security/securing-connections.md): Datafold supports multiple options to secure connections between your resources (e.g., databases and BI tools) and Datafold.
- [AWS PrivateLink Setup Guide](https://docs.datafold.com/classic/security/aws_privatelink_setup.md): Step-by-step guide to setting up AWS PrivateLink for secure Datafold connections
- [User Roles and Permissions](https://docs.datafold.com/classic/security/user-roles-and-permissions.md): Datafold uses role-based access control to manage user permissions and actions.
- [Service Accounts](https://docs.datafold.com/classic/security/service-accounts.md): Machine identities for CI, integrations, and scripts. Service accounts own their own API keys, inherit permissions from groups, and are managed independently of human users.
- [MCP Tool Permissions](https://docs.datafold.com/classic/security/mcp-tool-permissions.md): Which permissions each MCP tool requires. Use this reference when scoping a service account's group for MCP use.
- [Single Sign-On](https://docs.datafold.com/classic/security/single-sign-on.md): Set up Single Sign-On with one of the following options.
- [Okta (OIDC)](https://docs.datafold.com/classic/security/single-sign-on/okta.md): Configure Okta OIDC single sign-on (SSO) for Datafold. Step-by-step setup instructions for authenticating your team with Okta.
- [Google OAuth](https://docs.datafold.com/classic/security/single-sign-on/google-oauth.md): Configure Google OAuth single sign-on (SSO) for Datafold. Step-by-step setup instructions for authenticating your team with Google.
- [SAML](https://docs.datafold.com/classic/security/single-sign-on/saml.md): SAML (Security Assertion Markup Language) is a protocol that enables secure user authentication by integrating Identity Providers (IdPs) with Service Providers (SPs).
- [Group Provisioning](https://docs.datafold.com/classic/security/single-sign-on/saml/group-provisioning.md): Automatically sync group membership with your SAML Identity Provider (IdP).
- [Okta](https://docs.datafold.com/classic/security/single-sign-on/saml/examples/okta.md)
- [Microsoft Entra ID](https://docs.datafold.com/classic/security/single-sign-on/saml/examples/microsoft-entra-id-configuration.md): Configure Microsoft Entra ID (Azure AD) as a SAML identity provider for Datafold SSO. Step-by-step setup and configuration guide.
- [Google](https://docs.datafold.com/classic/security/single-sign-on/saml/examples/google.md)
- [Support](https://docs.datafold.com/classic/support/support.md): Datafold offers multiple support channels to assist users with troubleshooting and inquiries.
- [FAQ](https://docs.datafold.com/classic/support/faq-redirect.md)
- [Datafold API](https://docs.datafold.com/classic/api-reference/datafold-api.md): Datafold REST API reference for programmatic access to data diffs, data sources, CI runs, monitors, BI integrations, and more.
- [Introduction](https://docs.datafold.com/classic/api-reference/introduction.md): Get started with the Datafold REST API. Learn how to authenticate, obtain an API key, and make your first API call.
- [MCP Server](https://docs.datafold.com/classic/api-reference/mcp-server-setup.md): Connect AI assistants to Datafold using the Model Context Protocol
- [List CI runs](https://docs.datafold.com/classic/api-reference/ci/list-ci-runs.md): List all CI runs for a given CI configuration via the Datafold API.
- [Trigger a PR/MR run](https://docs.datafold.com/classic/api-reference/ci/trigger-a-prmr-run.md): Trigger a PR/MR diff run for a CI configuration via the Datafold API.
- [Upload PR/MR changes](https://docs.datafold.com/classic/api-reference/ci/upload-prmr-changes.md): Upload PR/MR changes for a specific pull request via the Datafold API.
- [List data sources](https://docs.datafold.com/classic/api-reference/data-sources/list-data-sources.md): List all configured data sources in your Datafold organization via the API.
- [Create a data source](https://docs.datafold.com/classic/api-reference/data-sources/create-a-data-source.md): Create a new data source connection via the Datafold API.
- [Get data source testing results](https://docs.datafold.com/classic/api-reference/data-sources/get-data-source-testing-results.md): Retrieve the testing results for a data source connection via the Datafold API.
- [List data source types](https://docs.datafold.com/classic/api-reference/data-sources/list-data-source-types.md): List all supported data source types available in the Datafold API.
- [Get a data source](https://docs.datafold.com/classic/api-reference/data-sources/get-a-data-source.md): Retrieve details of a specific data source by ID via the Datafold API.
- [Get a data source summary](https://docs.datafold.com/classic/api-reference/data-sources/get-a-data-source-summary.md): Get a summary of a specific data source by ID via the Datafold API.
- [Test a data source connection](https://docs.datafold.com/classic/api-reference/data-sources/test-a-data-source-connection.md): Test the connection of a specific data source via the Datafold API.
- [Execute a SQL query against a data source](https://docs.datafold.com/classic/api-reference/data-sources/execute-a-sql-query-against-a-data-source.md): Execute a sql query against a data source via the Datafold API.
- [List data diffs](https://docs.datafold.com/classic/api-reference/data-diffs/list-data-diffs.md): List all data diffs in your Datafold organization via the API.
- [Create a data diff](https://docs.datafold.com/classic/api-reference/data-diffs/create-a-data-diff.md): Create a new data diff to compare datasets via the Datafold API.
- [Get a data diff](https://docs.datafold.com/classic/api-reference/data-diffs/get-a-data-diff.md): Retrieve details of a specific data diff by ID via the Datafold API.
- [Update a data diff](https://docs.datafold.com/classic/api-reference/data-diffs/update-a-data-diff.md): Update the configuration of an existing data diff via the Datafold API.
- [Get a data diff summary](https://docs.datafold.com/classic/api-reference/data-diffs/get-a-data-diff-summary.md): Get the summary results of a specific data diff via the Datafold API.
- [Get a human-readable summary of a DataDiff comparison](https://docs.datafold.com/classic/api-reference/data-diffs/get-a-data-diff-summary-overview.md): Get a human-readable summary of a data diff via the Datafold API.
- [Cancel a running data diff](https://docs.datafold.com/classic/api-reference/data-diffs/cancel-a-running-data-diff.md): Cancel a running data diff via the Datafold API.
- [List all integrations](https://docs.datafold.com/classic/api-reference/bi/list-all-integrations.md): List all BI integrations configured in your Datafold organization via the API.
- [Create a DBT BI integration](https://docs.datafold.com/classic/api-reference/bi/create-a-dbt-bi-integration.md): Create a dbt BI integration for lineage tracking via the Datafold API.
- [Update a DBT BI integration](https://docs.datafold.com/classic/api-reference/bi/update-a-dbt-bi-integration.md): Update an existing dbt BI integration via the Datafold API.
- [Create a Hightouch integration](https://docs.datafold.com/classic/api-reference/bi/create-a-hightouch-integration.md): Create a Hightouch integration for lineage tracking via the Datafold API.
- [Update a Hightouch integration](https://docs.datafold.com/classic/api-reference/bi/update-a-hightouch-integration.md): Update an existing Hightouch integration via the Datafold API.
- [Create a Looker integration](https://docs.datafold.com/classic/api-reference/bi/create-a-looker-integration.md): Create a Looker BI integration for lineage tracking via the Datafold API.
- [Update a Looker integration](https://docs.datafold.com/classic/api-reference/bi/update-a-looker-integration.md): Update an existing Looker BI integration via the Datafold API.
- [Create a Mode Analytics integration](https://docs.datafold.com/classic/api-reference/bi/create-a-mode-analytics-integration.md): Create a Mode Analytics BI integration for lineage tracking via the Datafold API.
- [Update a Mode Analytics integration](https://docs.datafold.com/classic/api-reference/bi/update-a-mode-analytics-integration.md): Update an existing Mode Analytics BI integration via the Datafold API.
- [Create a Tableau integration](https://docs.datafold.com/classic/api-reference/bi/create-a-tableau-integration.md): Create a Tableau BI integration for lineage tracking via the Datafold API.
- [Update a Tableau integration](https://docs.datafold.com/classic/api-reference/bi/update-a-tableau-integration.md): Update an existing Tableau BI integration via the Datafold API.
- [Create a Power BI integration](https://docs.datafold.com/classic/api-reference/bi/create-a-power-bi-integration.md): Create a power bi integration via the Datafold API.
- [Update a Power BI integration](https://docs.datafold.com/classic/api-reference/bi/update-a-power-bi-integration.md): Update a power bi integration via the Datafold API.
- [Get an integration](https://docs.datafold.com/classic/api-reference/bi/get-an-integration.md): Retrieve details of a specific BI integration by ID via the Datafold API.
- [Remove an integration](https://docs.datafold.com/classic/api-reference/bi/remove-an-integration.md): Remove a BI integration by ID via the Datafold API.
- [Sync a BI integration](https://docs.datafold.com/classic/api-reference/bi/sync-a-bi-integration.md): Trigger a sync for a specific BI integration via the Datafold API.
- [List Monitors](https://docs.datafold.com/classic/api-reference/monitors/list-monitors.md): List monitors via the Datafold API.
- [Get Monitor](https://docs.datafold.com/classic/api-reference/monitors/get-monitor.md): Get monitor via the Datafold API.
- [Create a Data Diff Monitor](https://docs.datafold.com/classic/api-reference/monitors/create-a-data-diff-monitor.md): Create a data diff monitor via the Datafold API.
- [Create a Metric Monitor](https://docs.datafold.com/classic/api-reference/monitors/create-a-metric-monitor.md): Create a metric monitor via the Datafold API.
- [Create a Schema Change Monitor](https://docs.datafold.com/classic/api-reference/monitors/create-a-schema-change-monitor.md): Create a schema change monitor via the Datafold API.
- [Create a Data Test Monitor](https://docs.datafold.com/classic/api-reference/monitors/create-a-data-test-monitor.md): Create a data test monitor via the Datafold API.
- [Update a Monitor](https://docs.datafold.com/classic/api-reference/monitors/update-a-monitor.md): Update a monitor via the Datafold API.
- [Toggle a Monitor](https://docs.datafold.com/classic/api-reference/monitors/toggle-a-monitor.md): Toggle a monitor via the Datafold API.
- [Delete a Monitor](https://docs.datafold.com/classic/api-reference/monitors/delete-a-monitor.md): Delete a monitor via the Datafold API.
- [Trigger a run](https://docs.datafold.com/classic/api-reference/monitors/trigger-a-run.md): Trigger a monitor run via the Datafold API.
- [List Monitor Runs](https://docs.datafold.com/classic/api-reference/monitors/list-monitor-runs.md): List monitor runs via the Datafold API.
- [Get Monitor Run](https://docs.datafold.com/classic/api-reference/monitors/get-monitor-run.md): Get monitor run via the Datafold API.
- [Get table upstreams](https://docs.datafold.com/classic/api-reference/explore/get-table-upstreams.md): Get table upstreams via the Datafold API.
- [Get table downstreams](https://docs.datafold.com/classic/api-reference/explore/get-table-downstreams.md): Get table downstreams via the Datafold API.
- [Get column upstreams](https://docs.datafold.com/classic/api-reference/explore/get-column-upstreams.md): Get column upstreams via the Datafold API.
- [Get column downstreams](https://docs.datafold.com/classic/api-reference/explore/get-column-downstreams.md): Get column downstreams via the Datafold API.
- [Get Audit Logs](https://docs.datafold.com/classic/api-reference/audit-logs/get-audit-logs.md): Retrieve audit logs for your Datafold organization via the API.
- [Datafold SDK](https://docs.datafold.com/classic/api-reference/datafold-sdk.md): Use the Datafold SDK for programmatic access to data diffs, CI artifact uploads, and integration with your data pipelines.
- [Get Audit Logs](https://docs.datafold.com/classic/api-reference/audit-logs/get-audit-logs.md): Retrieve audit logs for your Datafold organization via the API.
- [List CI runs](https://docs.datafold.com/classic/api-reference/ci/list-ci-runs.md): List all CI runs for a given CI configuration via the Datafold API.
- [Trigger a PR/MR run](https://docs.datafold.com/classic/api-reference/ci/trigger-a-prmr-run.md): Trigger a PR/MR diff run for a CI configuration via the Datafold API.
- [Upload PR/MR changes](https://docs.datafold.com/classic/api-reference/ci/upload-prmr-changes.md): Upload PR/MR changes for a specific pull request via the Datafold API.
- [List data sources](https://docs.datafold.com/classic/api-reference/data-sources/list-data-sources.md): List all configured data sources in your Datafold organization via the API.
- [Create a data source](https://docs.datafold.com/classic/api-reference/data-sources/create-a-data-source.md): Create a new data source connection via the Datafold API.
- [Get data source testing results](https://docs.datafold.com/classic/api-reference/data-sources/get-data-source-testing-results.md): Retrieve the testing results for a data source connection via the Datafold API.
- [List data source types](https://docs.datafold.com/classic/api-reference/data-sources/list-data-source-types.md): List all supported data source types available in the Datafold API.
- [Get a data source](https://docs.datafold.com/classic/api-reference/data-sources/get-a-data-source.md): Retrieve details of a specific data source by ID via the Datafold API.
- [Execute a SQL query against a data source](https://docs.datafold.com/classic/api-reference/data-sources/execute-a-sql-query-against-a-data-source.md): Execute a sql query against a data source via the Datafold API.
- [Get a data source summary](https://docs.datafold.com/classic/api-reference/data-sources/get-a-data-source-summary.md): Get a summary of a specific data source by ID via the Datafold API.
- [Test a data source connection](https://docs.datafold.com/classic/api-reference/data-sources/test-a-data-source-connection.md): Test the connection of a specific data source via the Datafold API.
- [List data diffs](https://docs.datafold.com/classic/api-reference/data-diffs/list-data-diffs.md): List all data diffs in your Datafold organization via the API.
- [Create a data diff](https://docs.datafold.com/classic/api-reference/data-diffs/create-a-data-diff.md): Create a new data diff to compare datasets via the Datafold API.
- [Get a data diff](https://docs.datafold.com/classic/api-reference/data-diffs/get-a-data-diff.md): Retrieve details of a specific data diff by ID via the Datafold API.
- [Update a data diff](https://docs.datafold.com/classic/api-reference/data-diffs/update-a-data-diff.md): Update the configuration of an existing data diff via the Datafold API.
- [Cancel a running data diff](https://docs.datafold.com/classic/api-reference/data-diffs/cancel-a-running-data-diff.md): Cancel a running data diff via the Datafold API.
- [Get a human-readable summary of a DataDiff comparison](https://docs.datafold.com/classic/api-reference/data-diffs/get-a-human-readable-summary-of-a-datadiff-comparison.md): Retrieves a comprehensive, human-readable summary of a completed data diff.
- [Get a data diff summary](https://docs.datafold.com/classic/api-reference/data-diffs/get-a-data-diff-summary.md): Get the summary results of a specific data diff via the Datafold API.
- [Get column downstreams](https://docs.datafold.com/classic/api-reference/explore/get-column-downstreams.md): Get column downstreams via the Datafold API.
- [Get column upstreams](https://docs.datafold.com/classic/api-reference/explore/get-column-upstreams.md): Get column upstreams via the Datafold API.
- [Get table downstreams](https://docs.datafold.com/classic/api-reference/explore/get-table-downstreams.md): Get table downstreams via the Datafold API.
- [Get table upstreams](https://docs.datafold.com/classic/api-reference/explore/get-table-upstreams.md): Get table upstreams via the Datafold API.
- [List all integrations](https://docs.datafold.com/classic/api-reference/bi/list-all-integrations.md): List all BI integrations configured in your Datafold organization via the API.
- [Create a DBT BI integration](https://docs.datafold.com/classic/api-reference/bi/create-a-dbt-bi-integration.md): Create a dbt BI integration for lineage tracking via the Datafold API.
- [Update a DBT BI integration](https://docs.datafold.com/classic/api-reference/bi/update-a-dbt-bi-integration.md): Update an existing dbt BI integration via the Datafold API.
- [Create a Hightouch integration](https://docs.datafold.com/classic/api-reference/bi/create-a-hightouch-integration.md): Create a Hightouch integration for lineage tracking via the Datafold API.
- [Update a Hightouch integration](https://docs.datafold.com/classic/api-reference/bi/update-a-hightouch-integration.md): Update an existing Hightouch integration via the Datafold API.
- [Create a Looker integration](https://docs.datafold.com/classic/api-reference/bi/create-a-looker-integration.md): Create a Looker BI integration for lineage tracking via the Datafold API.
- [Update a Looker integration](https://docs.datafold.com/classic/api-reference/bi/update-a-looker-integration.md): Update an existing Looker BI integration via the Datafold API.
- [Create a Mode Analytics integration](https://docs.datafold.com/classic/api-reference/bi/create-a-mode-analytics-integration.md): Create a Mode Analytics BI integration for lineage tracking via the Datafold API.
- [Update a Mode Analytics integration](https://docs.datafold.com/classic/api-reference/bi/update-a-mode-analytics-integration.md): Update an existing Mode Analytics BI integration via the Datafold API.
- [Create a Power BI integration](https://docs.datafold.com/classic/api-reference/bi/create-a-power-bi-integration.md): Create a power bi integration via the Datafold API.
- [Update a Power BI integration](https://docs.datafold.com/classic/api-reference/bi/update-a-power-bi-integration.md): Update a power bi integration via the Datafold API.
- [Create a Tableau integration](https://docs.datafold.com/classic/api-reference/bi/create-a-tableau-integration.md): Create a Tableau BI integration for lineage tracking via the Datafold API.
- [Update a Tableau integration](https://docs.datafold.com/classic/api-reference/bi/update-a-tableau-integration.md): Update an existing Tableau BI integration via the Datafold API.
- [Get an integration](https://docs.datafold.com/classic/api-reference/bi/get-an-integration.md): Retrieve details of a specific BI integration by ID via the Datafold API.
- [Remove an integration](https://docs.datafold.com/classic/api-reference/bi/remove-an-integration.md): Remove a BI integration by ID via the Datafold API.
- [Sync a BI integration](https://docs.datafold.com/classic/api-reference/bi/sync-a-bi-integration.md): Trigger a sync for a specific BI integration via the Datafold API.
- [List Monitors](https://docs.datafold.com/classic/api-reference/monitors/list-monitors.md): List monitors via the Datafold API.
- [Create a Data Diff Monitor](https://docs.datafold.com/classic/api-reference/monitors/create-a-data-diff-monitor.md): Create a data diff monitor via the Datafold API.
- [Create a Metric Monitor](https://docs.datafold.com/classic/api-reference/monitors/create-a-metric-monitor.md): Create a metric monitor via the Datafold API.
- [Create a Schema Change Monitor](https://docs.datafold.com/classic/api-reference/monitors/create-a-schema-change-monitor.md): Create a schema change monitor via the Datafold API.
- [Create a Data Test Monitor](https://docs.datafold.com/classic/api-reference/monitors/create-a-data-test-monitor.md): Create a data test monitor via the Datafold API.
- [Get Monitor](https://docs.datafold.com/classic/api-reference/monitors/get-monitor.md): Get monitor via the Datafold API.
- [Delete a Monitor](https://docs.datafold.com/classic/api-reference/monitors/delete-a-monitor.md): Delete a monitor via the Datafold API.
- [Trigger a run](https://docs.datafold.com/classic/api-reference/monitors/trigger-a-run.md): Trigger a monitor run via the Datafold API.
- [List Monitor Runs](https://docs.datafold.com/classic/api-reference/monitors/list-monitor-runs.md): List monitor runs via the Datafold API.
- [Get Monitor Run](https://docs.datafold.com/classic/api-reference/monitors/get-monitor-run.md): Get monitor run via the Datafold API.
- [Toggle a Monitor](https://docs.datafold.com/classic/api-reference/monitors/toggle-a-monitor.md): Toggle a monitor via the Datafold API.
- [Update a Monitor](https://docs.datafold.com/classic/api-reference/monitors/update-a-monitor.md): Update a monitor via the Datafold API.
- [Overview](https://docs.datafold.com/classic/faq/overview.md): Get answers to the most common questions regarding our product.
- [Data Diffing](https://docs.datafold.com/classic/faq/data-diffing.md): Frequently asked questions about Datafold's data diffing capabilities, including supported databases, data types, performance, and use cases.
- [Data Migration Automation](https://docs.datafold.com/classic/faq/data-migration-automation.md): Frequently asked questions about Datafold's Data Migration Agent, including supported platforms, migration timelines, validation, and security.
- [CI/CD Testing](https://docs.datafold.com/classic/faq/ci-cd-testing.md): Frequently asked questions about Datafold's CI/CD testing integration, including staging environments, diff performance, and automated data quality checks.
- [Data Reconciliation](https://docs.datafold.com/classic/faq/data-reconciliation.md): Frequently asked questions about cross-database data reconciliation with Datafold, including how diffing works, scaling, and handling schema differences.
- [Data Monitoring and Observability](https://docs.datafold.com/classic/faq/data-monitoring-observability.md): Frequently asked questions about Datafold's data monitoring and observability capabilities, including how it compares to other data observability tools.
- [Integrating Datafold with dbt](https://docs.datafold.com/classic/faq/datafold-with-dbt.md): Frequently asked questions about using Datafold with dbt, including CI/CD setup for dbt Core and dbt Cloud, data diff performance, and testing workflows.
- [Data Storage and Security](https://docs.datafold.com/classic/faq/data-storage-and-security.md)
- [Performance and Scalability](https://docs.datafold.com/classic/faq/performance-and-scalability.md)
- [Resource Management](https://docs.datafold.com/classic/faq/resource-management.md): Frequently asked questions about Datafold's resource consumption, data warehouse cost impact, and performance optimization.

## OpenAPI Specs

- [openapi-butterfly](/openapi-butterfly.json)
- [openapi-public](/openapi-public.json)

## Optional

- [About Datafold](https://www.datafold.com/)
- [Blog](https://www.datafold.com/blog?)


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