이미지: METAL LAB 생성
Summary
- Databricks said its run-rate revenue for Q2 FY2026 surpassed $7 billion, with year-over-year growth exceeding 80%
- Its data warehouse-style service Lakehouse was confirmed to have surpassed $1.5 billion in run-rate revenue, while its new service Lakebase topped $100 million
- The company announced it raised $5 billion in new strategic funding, valuing the company at $190 billion
- 전체 매출 연환산(run-rate)
- 70억달러 돌파
- 2분기 전년 대비 성장률
- 80% 이상
- Lakebase 매출 연환산
- 1억달러 이상
- Lakehouse 매출 연환산
- 15억달러 이상
- 신규 전략 투자 규모
- 50억달러
- 신규 투자 후 기업가치
- 1900억달러
- 발표일
- 2026년 8월 13일
$7 billion, growth confirmed in numbers
Databricks disclosed its Q2 FY2026 performance metrics via its own X (formerly Twitter) account on August 13. According to the company, total run-rate revenue surpassed $7 billion, with year-over-year growth exceeding 80%. Run-rate revenue is a metric that annualizes performance from a specific period, commonly used by private companies to demonstrate growth speed.
The same announcement also included two detailed metrics. The run-rate revenue for the new product Lakebase surpassed $100 million, while the core legacy business Lakehouse exceeded $1.5 billion. Lakebase is a name that also appeared in a case study Databricks published on August 11. In that case study, accounting and advisory firm CLA was described as using this service's Postgres-based infrastructure as a backbone to handle AI agents' task queues, retries, and scheduling. This means the new product generated triple-digit-million-dollar revenue from early in its launch, and this announcement can be seen as reconfirming that achievement with numbers.
$5 billion, not $500 million — company valued at $190 billion
The slide the company released also contained funding news alongside revenue metrics. Databricks raised $5 billion in new strategic funding, and the company's valuation in this round was set at $190 billion. Neither the list of investors nor the detailed terms of this round were disclosed. However, the slide also noted that adjusted free cash flow over the trailing 12 months has remained consistently positive. This appears to emphasize that the company's structure generates actual cash even as revenue grows rapidly.
| Item | Value |
|---|---|
| Total run-rate revenue | $7 billion 100 |
| Lakehouse run-rate revenue | $1.5 billion 21 |
| Lakebase run-rate revenue | $100 million 1 |
Product announcements translating into revenue
This earnings disclosure didn't come out of nowhere. Databricks officially launched (GA) Unity AI Gateway for token usage management on August 4, and on August 6 unveiled a new benchmark, OfficeQA Pro V2, to measure enterprise document reasoning capability. On August 10, through the CLA case study, the company showed how Lakebase is used to compress 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 over the past month line up chronologically with this week's earnings metrics reads as evidence that the company is converting its new product lineup into actual revenue.
Databricks Compressed Agent Infrastructure Into a Single Database (/2026/8/long-running-ai-agents-often-bring-a-growing-stack-of-queues-schedulers)
So what changes
More notable than the fact that Databricks' valuation has jumped again in the enterprise data/AI infrastructure market is its revenue composition. Of the total $7 billion in revenue, the new product Lakebase accounts for over $100 million and the legacy business Lakehouse accounts for over $1.5 billion — meaning the company is generating revenue across multiple fronts simultaneously rather than depending on a single product. Amid a trend of AI infrastructure and services startups like Thrive Holdings and Blacksmith successively raising large funding rounds, this Databricks announcement can be read as a signal that the AI data infrastructure market as a whole continues to expand on both the funding and revenue fronts.
