Databricks announced Thursday that it had finalized a $5 billion investment round. The new valuation of $190 billion is a massive jump from the $134 billion the company was worth just half a year ago.
That kind of leap tells you how fast the AI market is moving. Six months, and a whole lot of investor confidence.
Databricks assists companies in creating AI agents and apps based on their proprietary data. Established in 2013, it now ranks No. 3 on CNBC's 2026 Disruptor 50 list. It has also overtaken public rival Snowflake in market value, a significant milestone for a company that has not yet hit the stock market.
CEO Ali Ghodsi is not shy about why investors are piling in. "Demand is crazy," he said.
The numbers behind the hype are real.
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A lot of that momentum is coming from specific products. Lakebase, a database built for AI agents, has already reached $100 million in annualized revenue. The Lakehouse data warehousing product has climbed past a $1.5 billion annual pace. Ghodsi also highlighted strength in the Genie business agent and AI Gateway, which is used to manage model usage and expenses.
"What's happening basically is everybody's using these agents, AI agents, and the whole world is laser focused on agents, AI," Ghodsi said on CNBC's "Squawk on the Street."
The company now sits in the middle of the token-cost conversation taking place across public markets. Databricks is also branching into fresh areas such as cybersecurity.
Databricks' growth is tied to the same AI-agent wave that has pushed its valuation higher. The company helps businesses connect their AI agents to proprietary data, which makes those agents more useful and easier to govern. That combination of core data tools and AI-specific products is why revenue is accelerating.
Founded by a team of academics and engineers, Databricks has built a reputation as a pioneer in unified data analytics. Its open-source roots gave it early credibility with data engineers, and the company has since expanded into a full-fledged lakehouse architecture that combines the flexibility of data lakes with the performance of data warehouses. This foundation now serves as the springboard for its AI agent products, which are designed to let enterprises harness their own datasets without relying on external models. The company's ability to attract both enterprise customers and top-tier investors reflects the broader market's belief that data infrastructure will remain a critical layer in the AI stack.
Databricks is one of a lengthening list of companies delaying their stock market debuts.
The repeated rounds show that private capital is plentiful for companies in the AI infrastructure space. That gives Databricks room to keep investing in AI agents and cybersecurity without the pressure of a public listing.
The bottom line: Databricks is at the center of the AI agent boom. The company's revenue growth is strong, and its valuation keeps climbing. When the public listing door opens, the private market's loss could be the public market's gain.
Until then, the private market is doing just fine without you.
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