Databricks valued at $134B

Databricks said on December 16, 2025 that it was raising more than $4 billion in a Series L round at a $134 billion valuation, giving one of the biggest private-market price tags in enterprise AI to a company built around data infrastructure rather than consumer chatbots. The San Francisco company said at the time it had crossed a $4.8 billion revenue run-rate, then said on February 9, 2026 that it had reached a $5.4 billion revenue run-rate with growth above 65% year over year. That valuation matters because Databricks has spent the past three years buying pieces of the stack that sit underneath enterprise AI systems. Databricks agreed to acquire MosaicML in June 2023, Arcion in October 2023, Mooncake Labs in October 2025 and Neon in May 2025, each deal adding technology tied to model building, data movement or operational databases. (databricks.com) ### Why is Databricks being valued like a frontline AI company? Databricks said the December 2025 financing would fund investments in products including Agent Bricks, Lakebase and Databricks Apps. The company described itself as a “Data and AI” company, and its pitch to customers is that analytics, governance and AI workloads should run on the same platform. (databricks.com) The February 2026 update added another key number: Databricks said its revenue run-rate had risen to $5.4 billion and that it was announcing more than $7 billion of investments in the company. That combination — rapid growth, large private funding and heavy product spending — helps explain why investors have priced it alongside the biggest AI infrastructure names. (databricks.com) ### What did those acquisitions actually add? MosaicML gave Databricks a generative-AI training and customization platform. Databricks said when it announced that deal on June 26, 2023 that the combination would let companies build and secure their own generative AI models while keeping control of their data. (databricks.com) Arcion added real-time enterprise data replication. Databricks said on October 23, 2023 that Arcion’s connectors would help customers ingest data from on-premises databases, cloud databases and SaaS applications into the Databricks Lakehouse Platform. Neon and Mooncake pushed the company further into operational databases. (databricks.com) Databricks said Neon would bring a serverless Postgres foundation for developers and AI agents, while Mooncake Labs would help accelerate Lakebase, its Postgres-based operational database for AI applications and agents. (databricks.com) ### Why does the France investment matter? Databricks said on June 1, 2026 that it planned to invest more than $300 million in France over the next three years. The company said the effort would expand its market presence, strengthen local infrastructure and take its French workforce to more than 400 employees by 2029. (databricks.com) France is not the only geography getting that treatment. Databricks’ press-release archive shows a May 5, 2026 pledge to invest $300 million in Australia and New Zealand over three years and a March 31, 2026 announcement of an $850 million UK investment plan. ### Where is Databricks putting the product emphasis? Lakebase has become a recurring theme in Databricks’ 2025 and 2026 announcements. (databricks.com) The company tied Mooncake Labs directly to Lakebase in October 2025 and said in February 2026 that it was doubling down on Lakebase and Genie. Neon fits the same pattern. Databricks said in May 2025 that the database market was bracing for disruption from AI and that Neon’s serverless Postgres design was built for modern developers and agentic workflows. (databricks.com) ### What does this say about hiring inside enterprise AI? Databricks’ public announcements point more to platform-building than to pure frontier-model research. (databricks.com) The acquisitions centered on training infrastructure, data replication, Postgres databases and application plumbing, while the France plan specifically mentioned teams and local infrastructure. (databricks.com) That suggests, as an inference from the company’s deal and investment pattern, that demand is likely to stay strongest around data engineering, databases, cloud platforms and AI deployment work. Databricks’ next disclosed milestones to watch are geographic expansion targets through 2029 and whatever product updates it gives on Lakebase, Genie and Agent Bricks in future company releases. (databricks.com 1) (databricks.com 2)