Data Catalog documentation
Data Catalog is a fully managed and scalable metadata management
service.
Data Catalog allows organizations to quickly discover, manage and understand all
their data in Google Cloud. It offers:
-
A simple and easy to use search interface for data discovery, powered by the
same Google search technology that supports Gmail and Drive.
-
A flexible and powerful cataloging system for capturing technical and
business metadata.
-
An auto-tagging mechanism for sensitive data with DLP API integration.
Learn more
Start your proof of concept with $300 in free credit
-
Get access to Gemini 2.0 Flash Thinking
-
Free monthly usage of popular products, including AI APIs and BigQuery
-
No automatic charges, no commitment
Keep exploring with 20+ always-free products
Access 20+ free products for common use cases, including AI APIs, VMs, data warehouses,
and more.
Use case
Use cases
Code samples and best practices for ingesting metadata from MySQL, PostgreSQL, Teradata, Oracle, SQLServer, Redshift, Vertica, and Greenplum.
On-Prem
RDMS
Pattern
Use case
Use cases
Code samples and best practices for ingesting metadata from Looker assets.
Data Governance
Compliance
Security
Use case
Use cases
Code samples and best practices for ingesting metadata from Tableau assets.
Data Governance
Compliance
Security
Use case
Use cases
Principles and best practices for Data Governance in the Cloud
This whitepaper provides guidance and best practices for data governance as you move your data into the cloud.
Data Governance
Compliance
Security
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2025-08-29 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-29 UTC."],[[["\u003cp\u003eData Catalog is a fully managed and scalable metadata management service within Dataplex, designed for discovering, managing, and understanding data in Google Cloud.\u003c/p\u003e\n"],["\u003cp\u003eIt features a user-friendly search interface, similar to Google Search, for efficient data discovery and a flexible system for capturing both technical and business metadata.\u003c/p\u003e\n"],["\u003cp\u003eData Catalog offers an auto-tagging capability for sensitive data using DLP API integration, enhancing data security and compliance.\u003c/p\u003e\n"],["\u003cp\u003eThe service provides resources like guides, references, pricing, release notes, and support, along with integration examples for on-premises RDBMS, Looker, and Tableau metadata.\u003c/p\u003e\n"],["\u003cp\u003eData Catalog provides documentation on how to use the product, with use cases, and code samples, along with providing use cases to integrate with 3rd party applications.\u003c/p\u003e\n"]]],[],null,["# Data Catalog documentation\n==========================\n\n[Read product documentation](/data-catalog/docs/concepts/overview) [Dataplex Universal Catalog](/dataplex/docs \"View this page for Dataplex Universal Catalog\") \\| Data Catalog (Deprecated)\nData Catalog is a fully managed and scalable metadata management service. Data Catalog allows organizations to quickly discover, manage and understand all their data in Google Cloud. It offers:\n\n- A simple and easy to use search interface for data discovery, powered by the same Google search technology that supports Gmail and Drive.\n- A flexible and powerful cataloging system for capturing technical and business metadata.\n- An auto-tagging mechanism for sensitive data with DLP API integration.\n\n\n[Learn more](/data-catalog/docs/concepts/overview)\n[Get started for free](https://console.cloud.google.com/freetrial) \n\n#### Start your proof of concept with $300 in free credit\n\n- Get access to Gemini 2.0 Flash Thinking\n- Free monthly usage of popular products, including AI APIs and BigQuery\n- No automatic charges, no commitment \n[View free product offers](/free/docs/free-cloud-features#free-tier) \n\n#### Keep exploring with 20+ always-free products\n\n\nAccess 20+ free products for common use cases, including AI APIs, VMs, data warehouses,\nand more.\n\nDocumentation resources\n-----------------------\n\nFind quickstarts and guides, review key references, and get help with common issues. \nformat_list_numbered\n\n### Guides\n\n-\n\n [Quickstart: Tag a BigQuery table by using Data Catalog](/data-catalog/docs/tag-bigquery-dataset)\n\n-\n\n [Tags and tag templates](/data-catalog/docs/tags-and-tag-templates)\n\n-\n\n [How to search with Data Catalog](/data-catalog/docs/how-to/search)\n\n-\n\n [Creating custom entries](/data-catalog/docs/how-to/custom-entries)\n\n-\n\n [Using storage filesets](/data-catalog/docs/how-to/filesets)\n\nfind_in_page\n\n### Reference\n\n-\n\n [Search syntax](/data-catalog/docs/how-to/search-reference)\n\n-\n\n [Client libraries](/data-catalog/docs/reference/libraries)\n\n-\n\n [REST API](/data-catalog/docs/reference/rest)\n\n-\n\n [RPC API](/data-catalog/docs/reference/rpc)\n\ninfo\n\n### Resources\n\n-\n\n [Pricing](/dataplex/pricing#data-catalog-pricing)\n\n-\n\n [Release notes](/data-catalog/docs/release-notes)\n\n-\n\n [Quotas](/data-catalog/docs/resources/quotas)\n\n-\n\n [Support](/data-catalog/docs/support)\n\nRelated resources\n-----------------\n\nExplore self-paced training, use cases, reference architectures, and code samples with examples of how to use and connect Google Cloud services. Use case \nUse cases\n\n### Integrate your on-premises RDBMS metadata\n\n\nCode samples and best practices for ingesting metadata from MySQL, PostgreSQL, Teradata, Oracle, SQLServer, Redshift, Vertica, and Greenplum.\n\nOn-Prem RDMS Pattern\n\n\u003cbr /\u003e\n\n[Learn more\narrow_forward](https://medium.com/google-cloud/468e0d8220fb) \nUse case \nUse cases\n\n### Integrate metadata from Looker\n\n\nCode samples and best practices for ingesting metadata from Looker assets.\n\nData Governance Compliance Security\n\n\u003cbr /\u003e\n\n[Learn more\narrow_forward](https://medium.com/google-cloud/google-cloud-data-catalog-and-looker-integration-4ebefdef6a34) \nUse case \nUse cases\n\n### Integrate metadata from Tableau\n\n\nCode samples and best practices for ingesting metadata from Tableau assets.\n\nData Governance Compliance Security\n\n\u003cbr /\u003e\n\n[Learn more\narrow_forward](https://medium.com/google-cloud/204c1d17cc62) \nUse case \nUse cases\n\n### Principles and best practices for Data Governance in the Cloud\n\n\nThis whitepaper provides guidance and best practices for data governance as you move your data into the cloud.\n\nData Governance Compliance Security\n\n\u003cbr /\u003e\n\n[Learn more\narrow_forward](https://services.google.com/fh/files/misc/principles_best_practices_for_data-governance.pdf)\n\nRelated videos\n--------------"]]