Databricks hits $188B valuation in Coatue-led round, extending its run as enterprise AI leader

Databricks hits $188B valuation, extending its run as AI's favorite second act

Databricks on Thursday announced a new round of funding that values the company at $188 billion. The round was led by Coatue. Databricks didn't disclose exactly how much it raised; it said the money isn't in its hands yet and that the round will close later in this summer. (Other outlets have since reported the raise is roughly $3 billion.) While it's unusual for a company to announce before it gets the money, a VC tells TechCrunch that the deal is solid, with so many firms wanting in that the company had no reason to keep its shiny new valuation a secret. In fact, Databricks has been on a year-and-a-half fundraising tear as it successfully transitioned its image into an AI provider and not just a yesteryear SaaS sensation. Yesteryear being back in the BC times (Before ChatGPT). Only five months ago, in February, Databricks closed a $5 billion Series L raise at a $134 billion valuation. Five months before that, in September 2025, it raised $1B at $100 billion valuation. And roughly nine months before that, in December 2024, it raised what was a record-breaking round at the time of $10 billion at a $62 billion valuation. Databricks has raised so many rounds over the years that this latest one became the subject of memes about running out of letters of the alphabet. "Turning on alerts for when we get a Series AA," one person posted. But its image reconstruction has been legit. Founded in 2013, it initially grew to success back in the big data era, with software that enabled enterprises to store enormous amounts of data in the cloud, yet produce speedy analytics. Because it already sat on troves of enterprise data, Databricks was then well-positioned to respond as companies started wanting AI with the same security and governance they expect from traditional enterprise software. The company began rolling out one AI product after another, like Lakebase, its database built for AI agents, and Unity, its AI gateway, along with a "meta-harness" called Omnigent that manages multiple agents. Databricks also increasingly became known as one of the big examples of enterprises adopting more affordable Chinese-based open-weight models (models whose underlying code is published for anyone to use and modify) for cost control, one of the big trends of 2026. It is a particular champion of Z.ai's GLM 5.2 as a model for coding. Last week Databricks CEO Ali Ghodsi shared the results of some internal benchmarking done to manage his own AI costs for his 3,000 software engineers. The company compared AI models on the actual tasks its programmers do. Not surprisingly, in the blog post revealing the results, Databricks shared that "open models, and GLM 5.2 in particular, are now able to handle even the highest level of task difficulty" in coding, and at a total lower cost than proprietary models from Anthropic and OpenAI. But it did surprise people by finding that the choice of harness -- the agentic coding tool, like Codex or Claude Code, that wraps around a model and manages its context and instructions -- equally impacted costs. It found that open-source harness, Pi, to be one of the best at managing context surrounding each prompt, and therefore one of the lowest costs choices without sacrificing quality. "The lesson here isn't that one harness is always cheaper or that native harnesses are worse. Instead, model choice is only one piece of the puzzle," the post declared. All of this has added to Databricks image as an AI company, even if it wasn't founded as an AI lab. This, in turn, has granted it the AI-halo for raising money and leaping its valuation. As we previously reported, the AI effect is so strong these days, that even sandwich shop Jersey Mike's mentioned AI 22 times in its S-1 documents.

Databricks hits $188bn valuation in Coatue-led round, landing above its own $175bn talks

The data and AI firm keeps raising, and keeps insisting it is in no rush to go public. $188bn is a large number for a company that keeps insisting it is in no rush to go public. That is the valuation Databricks has reached in a new funding round led by Coatue Management, a figure first reported by the Wall Street Journal. The mark sits well above the up-to-$175bn the firm was reportedly in talks to raise at only weeks earlier, so the round is landing higher than the chatter that trailed it. It also arrives in a market its own chief executive recently dismissed as a terrible year to go public, which makes a private raise the obvious move. Coatue is investing roughly $3bn, according to the Journal, in a strategic round that draws in both new and existing backers. A term sheet has been signed, and the deal is expected to close later this summer, with neither the fund nor the company commenting publicly. Strategic rounds of this shape do two useful things at once. They top up a balance sheet for spending on infrastructure and acquisitions, and they let early staff and backers take some money off the table, all without the disclosure a stock market demands. The valuation caps a giddy climb. Databricks closed a $5bn round at $134bn in February, paired with $2bn of debt, itself a sharp jump from the $62bn it commanded in a $10bn Series J a little over a year before. The interim chatter had pointed at figures between $165bn and $175bn, so $188bn clears even the top of that range. That is close to a trebling of paper value inside 18 months. It lifts Databricks into a tier of private companies whose valuations now shade past plenty of mid-cap listed firms, without any of the quarterly scrutiny that comes with a ticker. A $188bn private mark is less a price than a message, that large investors would rather own the company off the public market than wait for it to arrive on one. Scarcity, in other words, is doing some of the work that revenue used to. The business underneath is substantial. Databricks sells a platform for ingesting, analysing, and building AI applications on tangled corporate data, and competes most directly with the publicly listed Snowflake, whose own market value gives investors a rough yardstick for what a listed Databricks might fetch. It says revenue is running above $5.4bn a year and growing more than 65%, the kind of curve that keeps private investors comfortable paying up. The fresh capital follows a busy stretch that included buying Panther Labs to push into cybersecurity. Ambition has not been in short supply elsewhere. Co-founder Matei Zaharia recently collected an ACM Prize and declared that AGI is here, which is one way to rationalise a valuation climbing faster than most public indices. On the listing question, the company stays deliberately coy. Ali Ghodsi has said Databricks will go public eventually, just not into 2026's crowd, with SpaceX, OpenAI, and Anthropic between them expected to soak up something close to $200bn in IPO capital; the latter two have since filed their paperwork. Databricks has not said what the fresh money is earmarked for, and Reuters noted no use-of-proceeds statement. Its recent pattern, though, is easy to read, with spending flowing toward AI tooling, data infrastructure, and the odd acquisition, the sort of investment that reads better on a private ledger than a quarterly earnings call. Raising privately at this level is not free of consequence. The higher the private mark, the harder the eventual price discovery, and a debut that opened below $188bn would read as a down-round that no amount of ARR could disguise. For now the money is staying private, and the term sheet is signed. The next number that matters is whichever one a prospectus eventually dares to print against $188bn.

Databricks opens strategic funding round at $188bn valuation

Last August, co-founder and CEO Ali Ghodsi told the Wall Street Journal that, in his view, 'Databricks has a shot to be a trillion-dollar company'. US software and data analytics company Databricks is raising a strategic funding round at a $188bn valuation following the signing of a term sheet, it said yesterday (16 July). The round is led by existing investor Coatue and is expected to feature additional new and existing investors before closing later this summer. The San Francisco-based company offers a services platform around data and AI that aims to help build and scale apps, analytics, and agents for more than 20,000 client organisations such as Adidas, AT&T, Bayer, Block, Mastercard and Unilever. Databricks said the new funding would be used to "accelerate its AI strategy" through a focus on three of its core offerings: Unity AI Gateway, a "multi-AI governance solution that helps enterprises govern and control costs of their AI"; Genie, an "AI coworker that turns business data into trusted answers and actions"; and Lakebase, a "serverless 'Postgres' database built for AI agents". "Enterprises are moving from 'tokenmaxxing' to 'valuemaxxing'," said Ali Ghodsi, co-founder and CEO of Databricks. "They don't want to burn expensive tokens on the smartest model for every task - they want the best outcome per dollar. That means having the freedom to choose the right AI for the job. "This new capital lets us keep pushing our multi-AI strategy forward to meet massive customer demand". The funding would also contribute to supporting future AI acquisitions and deepening AI research, the company said. In February, Databricks was valued at around $134bn after raising $5bn. Last December, it raised around $4bn. In recent times, the company has launched or expanded partnerships with Microsoft, Google Cloud, Anthropic, SAP and Palantir. Its five-year deal with Anthropic, valued at $100m, offers Anthropic's Claude AI models through Databricks' data intelligence platform, allowing its more than 15,000 client companies to build and deploy AI agents that can reason on their own data. Last August, Ghodsi told the Wall Street Journal that, in his view, "Databricks has a shot to be a trillion-dollar company". Don't miss out on the knowledge you need to succeed. Sign up for the Daily Brief, Silicon Republic's digest of need-to-know sci-tech news.

Databricks Is Now Worth $188 Billion. Its Next Move Could Reshape Enterprise AI

Databricks is raising fresh capital at a $188 billion valuation -- $54 billion more than investors valued the company at five months ago. The round gives co-founder and CEO Ali Ghodsi more money to expand the company's enterprise AI platform while easing the pressure to go public. The San Francisco data and AI company said Thursday that it signed a term sheet for a strategic funding round led by existing investor Coatue. The deal is expected to close later this summer. Databricks did not disclose the size of the round. PitchBook estimates it at $3 billion in preferred-stock financing, with new and existing investors expected to participate.

Databricks Hits $188 Billion Valuation, Raises Strategic AI Funding Round

Databricks has secured a strategic funding round at a $188 billion valuation to accelerate enterprise AI innovation, strengthen Unity AI Gateway, Genie, and Lakebase, and expand AI research, acquisitions, and multi-AI infrastructure for global customers. Data and AI company Databricks has announced a new strategic funding round that values the company at $188 billion, underscoring growing investor confidence in enterprise artificial intelligence. The financing is expected to close later this summer and is being led by existing investor Coatue, with participation from additional new and existing investors. The fresh capital will be used to strengthen Databricks' AI portfolio, expand research efforts, and support future acquisitions as the company seeks to meet rising enterprise demand for AI-powered business solutions.