Databricks just closed a $5 billion funding round at a $190 billion valuation, and the backstory is almost funnier than the number. According to TechCrunch AI, co-founder and CEO Ali Ghodsi says the company only wanted to raise $1 billion. Investors had other ideas. When the dust settled, there was $15 billion of interest on the table, and Databricks had to decide who to let in and who to turn away.
Here’s how it got out of hand. Ghodsi told TechCrunch AI that The Information published a story about a big Databricks fundraise in the middle of the company’s June conference, while the team was heads down and not even focused on raising money. “As soon as that article went out, there was a long line of investors that started calling. My phone blew up,” he said. The report turned into a self-fulfilling prophecy. The interest level, in his words, was “just insane.”
Why so many VCs wanted in
When you have $15 billion chasing a $1 billion round, saying no to loyal backers gets awkward fast. So Databricks issued more stock and settled at $5 billion. The round was led by Coatue, with Blackstone, MGX, several T. Rowe Price accounts, and new investor Sixth Street Growth joining in. About two dozen VCs were named as participants.
The appetite makes sense once you see the numbers Ghodsi shared:
- $7 billion annualized run rate revenue, growing 80% year-over-year
- Cash-flow positive, which is rare air among AI-heavy companies
- Its core cloud data warehouse alone is $1.5 billion of that run rate, still growing 100%
- Lakebase, its database for AI agents launched in June 2025, already at a $100 million run rate
- Genie, its instant business-analysis chatbot, which Ghodsi calls “insanely popular”
That’s a profitable, fast-growing business with real AI products shipping. For investors hunting a safe bet in a frothy market, Databricks looks about as close as it gets.
Why raise at all if you’re printing money
Good question, and Ghodsi has a blunt answer: AI is expensive. Databricks has already raised $20 billion over the past 20 months. It carries multibillion-dollar cloud commitments with all three major hyperscalers. It runs a 100-person AI research team in one of the most competitive hiring markets on the planet. And it keeps shopping.
The company just announced it bought Electric, maker of the lightweight Postgres database PGlite that lets agents spin up databases on demand. That follows its June purchase of AI cybersecurity firm Panther and two more startups back in March. This is a company using capital as ammunition, not a life raft.
Why this matters
What stands out here is how much the goalposts have moved. A $1 billion round used to be a landmark event. Now startups pull that at seed or Series A, and Databricks treats $1 billion as its modest opening ask. This round is a clean snapshot of AI-era capital: money is chasing proven revenue, and the companies with real traction get to set their own terms.
There’s also the IPO question that won’t go away. Databricks has raised so many rounds that people online joke it’s running out of letters of the alphabet. Ghodsi told CNBC he still wants to take the company public one day, and with this many investors eventually looking to cash out, he almost has to. But for now he’d rather invest in AI away from the scrutiny of public markets. Given the spending involved, staying private a while longer looks like a deliberate choice, not a delay.
What to watch next
Keep an eye on three things: whether that 80% growth rate holds as the revenue base gets huge, how aggressively Databricks keeps buying smaller AI and infrastructure startups, and any real movement toward an IPO. When a founder can summon $15 billion of interest on his own terms, the pressure to go public is entirely his to feel. And right now, Ghodsi doesn’t sound like he’s in a rush.
Full details are available at the original TechCrunch AI report.