Databricks is a Lakehouse Platforms company founded in 2013 and based in San Francisco, United States. It has raised $19.0B in total funding, most recently a Series L in 2025 at a $134B valuation.
| Date | Stage | Amount | Valuation | Lead investors |
|---|---|---|---|---|
| Dec 1, 2025 | Series L | $4B | $134B | — |
| Aug 1, 2025 | Series K | $1B | $100B |
| — |
| Dec 17, 2024 | Series J | $10B | $62B | Thrive Capital, Andreessen Horowitz |
| Sep 14, 2023 | Series I | $500M | $43B | — |
| Aug 31, 2021 | Series H | $1.6B | $38B | — |
| Feb 1, 2021 | Series G | $1B | $28B | Franklin Templeton |
| Oct 22, 2019 | Series F | $400M | $6.2B | BlackRock |
| Feb 1, 2019 | Series E | $250M | — | Andreessen Horowitz |
| Dec 1, 2017 | Series D | $140M | — | Andreessen Horowitz |
| Mar 1, 2016 | Series C | $60M | — | New Enterprise Associates |
| Jun 1, 2014 | Series B | $33M | — | New Enterprise Associates |
| Sep 25, 2013 | Series A | $14M | — | Andreessen Horowitz |
ActiveViam extends its collaboration with Databricks, with no contract terms or deal scale disclosed.
ActiveViam and Databricks partner to bring real-time risk analytics to financial institutions.

Ceragem adopts the Databricks platform to build its AI wellness home platform.

Databricks makes its AI Runtime generally available for GPU training workloads.

Databricks eyes Abu Dhabi as it expands its Middle East business.
HP moves its customer data platform onto Databricks, targeting 40% lower costs.
A unified lakehouse platform combining data engineering, SQL analytics, ML, and AI workflows on a single architecture. Built on Apache Spark and Delta Lake, it serves as the operational center for enterprise AI workloads. Reached a $62B valuation in December 2024 and $100B+ in September 2025, with an anticipated 2026 IPO.
A unified governance layer providing centralized metadata management, fine-grained access control, data lineage, and audit logging across all Databricks workspaces and clouds. Supports Apache Iceberg natively alongside Delta Lake, with Catalog Commits (GA 2026) enabling transactional consistency across the open lakehouse for multi-engine interoperability.
A serverless SQL warehouse for running analytical queries directly on the lakehouse with photon-accelerated execution. Supports natural language query generation via Genie Spaces, business metric definitions in the Semantic Layer, and integration with BI tools like Tableau and Power BI. Targets analytics engineers and data analysts seeking warehouse speed without moving data.
An integrated ML lifecycle platform combining the open-source MLflow experiment tracking, model registry, and deployment tooling with Mosaic AI for fine-tuning, serving, and agent orchestration. Supports end-to-end model development from feature engineering through production inference, with Agent Bricks announced at the June 2025 Data + AI Summit.