Summary
- Databricks said its run-rate revenue surpassed $7 billion in Q2 FY2026, with year-over-year growth exceeding 80%
- Lakehouse, its data warehouse-style service, was confirmed to have a $1.5 billion run-rate, while the new Lakebase service topped $100 million
- The company announced it raised $5 billion in new strategic investment, valuing it at $190 billion
$7 Billion, Growth Confirmed in Numbers
Databricks disclosed its Q2 FY2026 performance metrics via its official X (formerly Twitter) account on August 13. According to the company, total run-rate revenue exceeded $7 billion, with year-over-year growth topping 80%. Run-rate revenue annualizes performance from a given period and is a metric commonly used by private companies to demonstrate growth pace.
The same announcement included two additional breakdown figures. The new product Lakebase's run-rate revenue surpassed $100 million, while the core legacy business, Lakehouse, exceeded $1.5 billion. Lakebase also appeared in a case study Databricks published on August 11. In that piece, accounting and advisory firm CLA was shown using the service's Postgres-based infrastructure as a backbone to handle AI agents' task queues, retries, and scheduling. The fact that a new product generated triple-digit-million revenue early in its rollout means this announcement effectively reconfirms that achievement with hard numbers.
Not $500M but $5B, Valued at $190 Billion
Beyond revenue metrics, the slide the company shared also included funding news. Databricks raised $5 billion in a new strategic investment round, which valued the company at $190 billion. Neither the list of investors nor the detailed terms of the round were disclosed. However, the slide also noted that adjusted free cash flow has remained positive over the trailing 12 months — an apparent emphasis on the fact that revenue is growing rapidly while cash is genuinely being retained.
| Item | Value |
|---|---|
| Total run-rate revenue | $7B 100 |
| Lakehouse run-rate revenue | $1.5B 21 |
| Lakebase run-rate revenue | $100M 1 |
Product Announcements Translating Into Revenue
This earnings disclosure didn't come out of nowhere. Databricks made the Unity AI Gateway for managing token usage generally available (GA) on August 4, and unveiled a new benchmark, OfficeQA Pro V2, for measuring enterprise document reasoning capability on August 6. On August 10, a case study featuring CLA showed how Lakebase is used to consolidate the infrastructure stack for long-running AI agents — queues, schedulers, caches, and monitoring — into a single database rather than maintaining them separately. The fact that these product announcements, spaced out over the past month, line up chronologically with this week's earnings figures reads as evidence that the company is converting its new product lineup into actual revenue.
Databricks Compresses Agent Infrastructure Into a Single Database (/2026/8/long-running-ai-agents-often-bring-a-growing-stack-of-queues-schedulers)
What Actually Changes
More notable than the fact that Databricks' valuation has jumped again in the enterprise data and AI infrastructure market is the composition of its revenue. Out of $7 billion in total revenue, the new product Lakebase accounts for over $100 million and the legacy Lakehouse business for over $1.5 billion — meaning the company is generating revenue across multiple fronts rather than depending on a single product. Amid a wave of large funding rounds for AI infrastructure and services startups like Thrive Holdings and Blacksmith, this announcement from Databricks can be read as a signal that the broader AI data infrastructure market continues to expand on both the funding and revenue fronts.
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