# Databricks > The database your AI agents deserve Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse. Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads. - Type: Company - Sector: Data & Analytics - Status: Active - Founded: 2013-01-01 - Profile: https://thegrid.id/profiles/databricks ## Products - [Databricks Data Intelligence Platform](https://thegrid.id/profiles/databricks): The Databricks Data Intelligence Platform unifies data engineering, SQL analytics, machine learning, and generative AI on an open lakehouse architecture. Lakeflow handles batch and streaming ETL pipelines, Databricks SQL delivers serverless data warehousing via the Photon query engine, Mosaic AI enables foundation model training and serving with vector search and AI gateway capabilities, AI/BI Genie supports conversational analytics, Unity Catalog provides unified data and AI governance with lineage and access controls, and Delta Sharing enables zero-copy data sharing. Deployed on AWS, Azure, and GCP. (Developer Tooling, Live, Main Product) ## Links - [Main](https://databricks.com) - [Blog](https://www.databricks.com/blog) - [Documentation](https://docs.databricks.com) - [Privacy policy](https://www.databricks.com/legal/privacynotice) - [Terms of Service](https://www.databricks.com/legal/terms-of-use) - [Media Kit/branding](https://brand.databricks.com) - [LinkedIn](https://www.linkedin.com/company/databricks) - [Facebook](https://www.facebook.com/databricksinc) - [YouTube](https://www.youtube.com/@Databricks) - [Twitter / X](https://x.com/databricks) ## Legal This data is provided under two licensing models. Model 1 - open data. The open data core is licensed under the Open Database License (ODbL) — a copyleft/share-alike license allowing free use, modification, and sharing for any purpose. Attribution is required: include "Powered by The Grid" linking to https://thegrid.id wherever the data is used. Derivative databases must be shared under ODbL terms. Trademarks, logos, and brand names (marked "Special TPIP") are not covered by the ODbL. For ML/AI use: training datasets that substantially extract ODbL data are Derivative Databases and must be shared under ODbL if publicly used; models must be attributed in documentation. Model 2 - commercial licenses. The Grid Data Service (TGDS) is also available as a commercial license. See [Web Services Terms](https://about.thegrid.id/legal/web-services-terms) for commercial use that is not covered by the open data service. The following applies to both licensing models. - All data is provided AS IS with no guarantees of accuracy. - The Grid does not provide investment, legal, or tax advice, and - a project's presence in The Grid's data does not imply endorsement. - [Data Licensing & Disclaimers](https://about.thegrid.id/legal/data-licensing-and-disclaimers): Licensing models and disclaimers - [Open Data (ODbL)](https://about.thegrid.id/legal/open-data): Open Database License terms and scope for The Grid's open data service. - [Attribution Guidelines](https://about.thegrid.id/legal/open-data-attribution-guidelines): How to attribute The Grid's data when using the open data service. - [Web Services Terms](https://about.thegrid.id/legal/web-services-terms): commercial Terms for using data services. - [All Legal Documents](https://about.thegrid.id/legal): Full index of terms, policies, and disclosures ## Optional - [TGS Field Descriptions](https://github.com/The-Grid-Data/workspace-public/blob/main/references/tgs-field-descriptions.md): Schema field definitions for The Grid's data model - [TGS JSON Structure](https://github.com/The-Grid-Data/workspace-public/blob/main/references/tgs-json-structure.md): Data model structure and relationships - [Product Type Definitions](https://github.com/The-Grid-Data/workspace-public/blob/main/references/product-type-definitions.md): Definitions for each product type - [Product Type Classification](https://github.com/The-Grid-Data/workspace-public/blob/main/references/product-type-classification.md): Guide for classifying products into types - [Grid MCP Guide](https://github.com/The-Grid-Data/workspace-public/blob/main/grid-search/skills/grid-query/references/grid-mcp-guide.md): How to query The Grid programmatically via MCP