The data + AI 'lakehouse' platform racing toward one of tech's biggest IPOs.
Updated · Analysis by Trace Cohen · databricks.com
$5B strategic round, closed Aug 13, 2026
$5B strategic round, closed Aug 13, 2026
>80% YoY growth, Q2 2026
by the creators of Apache Spark
CEO ruled out a 2026 listing
Set in a $5B strategic funding round that closed August 13, 2026 — a 42% jump from the ~$134B mark set just eight months earlier. CEO Ali Ghodsi has said Databricks will stay private as long as it can keep raising on favorable terms, pushing any IPO to 2027 or later.
Databricks sells a consumption-based data and AI platform — the 'lakehouse' — that unifies data engineering, analytics, and machine learning on one system. Customers pay for compute and platform usage, so revenue scales directly with how much data and AI workload they run.
Its strategic position is being the neutral, multi-cloud place enterprises build and run AI on their own data — competing with Snowflake on data and with the hyperscalers' native AI stacks. Crossing ~$7B in annualized revenue with over 80% year-over-year growth is what keeps it near the top of every AI IPO watchlist, even as it chooses to stay private for now.
Databricks closed a $5B strategic funding round on August 13, 2026 at a ~$190B valuation, up 42% from the ~$134B mark set in an early-2026 round of roughly $7B in equity and debt. CEO Ali Ghodsi called 2026 'a terrible year to go public' given the crowded mega-IPO calendar, and this raise extends its runway to stay private into 2027 or beyond rather than signaling an imminent listing.
The public data-cloud rival; the core lakehouse-vs-warehouse battle.
Hyperscalers' native data + AI services.
Bundled analytics pressuring standalone platforms.
Databricks is the most IPO-ready name on the AI list precisely because it isn't a foundation-model bet — it's picks-and-shovels with real revenue and >80% growth. But 'ready' and 'willing' are different things: Ghodsi keeps choosing a $5B private round over a public listing, which tells you the private market is still pricing Databricks more generously — and with fewer strings — than public investors would. If it eventually prices well, it becomes the template public-market investors use to sanity-check every private AI mark above it.
Databricks is valued at approximately $190 billion following a $5 billion strategic funding round that closed August 13, 2026 — up 42% from the ~$134 billion mark set in an early-2026 round.
Through consumption-based pricing on its data and AI 'lakehouse' platform — customers pay for the compute and platform usage they consume for data engineering, analytics, and machine learning.
Not in 2026. CEO Ali Ghodsi has called 2026 'a terrible year to go public' given the crowded mega-IPO calendar and said Databricks will stay private as long as it can raise on favorable terms. With roughly $7 billion in annualized revenue and over 80% year-over-year growth, it remains one of the most IPO-ready private tech companies, but timing has slipped to 2027 or later.
Get VC data most people never see
— 100% free
Weekly benchmarks, valuations, and fund data. Join 5,000+ investors. No spam.
Analysis by Trace Cohen · @Trace_Cohen · t@nyvp.com. Figures are as of the update date; verify before relying on them.