Databricks
San Francisco, California, United States
Databricks is the Data and AI company. More than 20,000 organizations worldwide rely on Databricks to build and scale data and AI applications, analytics and agents. The company offers a unified Data Intelligence Platform (including Lakehouse capabilities and tools for building and deploying data and AI/agent systems, plus governance/catalog features).
- Focus Areas
- Lakehouse data platform, Data intelligence platform, AI/agent platforms
- Website
- databricks.com
Selective recent acquisition history
Updated September 2026
Data infrastructure and AI tooling
Databricks' selected deals bring database infrastructure, data movement and AI evaluation into its data platform.
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Quotient AI
Databricks acquired Quotient AI, adding technology for evaluating and improving AI agents.
Databricks -
Neon
Databricks announced its intent to acquire Neon, a serverless Postgres database provider.
PR Newswire -
Tabular
Databricks agreed to acquire Tabular, bringing Apache Iceberg expertise into its lakehouse data management work.
PR Newswire -
Arcion
Databricks agreed to acquire Arcion, whose software replicates data from databases and applications into data platforms.
Databricks
Selected public announcements through September 19, 2026. Dates and deal status follow each source. This is not a complete acquisition list or confirmation that every announced agreement closed.
Frequently asked questions
What recent acquisitions has Databricks made?
Databricks acquired Quotient AI, adding technology for evaluating and improving AI agents. Databricks announced its intent to acquire Neon, a serverless Postgres database provider. Databricks agreed to acquire Tabular, bringing Apache Iceberg expertise into its lakehouse data management work. See the dated sources above for each record.
What acquisition themes appear in Databricks’s history?
Databricks' selected deals bring database infrastructure, data movement and AI evaluation into its data platform. These are patterns in the selected records, not a confirmed current acquisition mandate.
Why does Tabular matter to Databricks' lakehouse strategy?
Tabular's founders include creators of Apache Iceberg. The announcement describes a plan to improve compatibility between Iceberg and Delta Lake, reducing barriers between the two table formats.
What problem does Quotient AI address?
Quotient evaluates AI agent behavior and identifies problems from agent traces. Databricks describes using those signals to support monitoring, evaluation and continued improvement of production agents.
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