SBVA Buys Into Databricks' $5 Billion Round at $190 Billion Valuation

SBVA has joined Databricks' $5 billion funding round, which values the data and artificial intelligence company at $190 billion, according to a report carried by finance.biggo.com.

The round ranks among the largest private financing events in the technology sector this cycle. A $190 billion valuation places Databricks in the top tier of privately held companies worldwide, ahead of all but a handful of venture-backed firms.

SBVA's participation in the raise adds a new institutional backer to Databricks' investor roster. The firm, formerly known as SoftBank Ventures Asia, has repositioned itself in recent years as an investor in late-stage artificial intelligence and data infrastructure companies. Its decision to deploy capital into Databricks signals continued institutional appetite for exposure to enterprise AI platforms even at outsized valuations.

Databricks sells cloud-based tools for data engineering, analytics and AI model development. The company has ridden the surge in enterprise demand for machine learning infrastructure, and its fundraising trajectory has tracked that demand. Each successive round has lifted the company's paper value sharply, and the $190 billion figure reported in this round represents another step up.

The $5 billion size of the round matters as much as the valuation. Rounds of that magnitude give a company years of runway without pressure to access public markets. For Databricks, the cash provides flexibility to fund compute costs, acquisitions and international expansion on its own schedule.

For SBVA, the deal is a bet that Databricks can convert its position in enterprise data infrastructure into durable revenue growth. The valuation implies investor confidence that demand for the company's platform will keep expanding as businesses reorganize their operations around AI.

The financing also sets a reference point for the broader market. When a company raises $5 billion at $190 billion, it resets expectations for what late-stage AI infrastructure firms can command from investors. Competitors in the data platform and AI tooling space will now face comparisons against that benchmark.

The report did not specify the full list of participating investors, the pricing of individual allocations, or the intended use of proceeds. Databricks has not publicly detailed a timeline for a listing, and the latest raise reduces any near-term pressure to go public.

The deal's completion at these terms confirms that private capital remains willing to write nine-figure checks for AI infrastructure at scale — and positions Databricks as one of the defining assets of the current private-market cycle.