←

US · Data & AI Infrastructure

DatabricksLate-stage

A cloud-based data and AI platform ('lakehouse') that helps enterprises store, process, and analyze large-scale data and build machine learning and AI applications on top of it.

$190.0B
high confidence · Company/Bloomberg, closed strategic round
$190.0B
Last round · 2026-08-13
17
Rounds tracked
+90% 1Y
Trailing return
$200.4B +5%
Secondary mkt · 2026-09-10

Named as a constituent of Morningstar PitchBook Unicorn 20 Index, Morningstar PitchBook Unicorn 30, Morningstar PitchBook Global Unicorn, Morningstar PitchBook US Unicorn 100, Morningstar PitchBook Global Artificial Intelligence Unicorn, Morningstar PitchBook US Modern Market 100, Hiive50 Index and Forge Accuidity Private Market Index — a fact about those indexes, not an endorsement.

Holding an offer for Databricks? Put its numbers next to these. Check my offer →

65.5
PrePost Index · out of 100

PrePost's proprietary index, combining capital-raising momentum, market-pricing confidence, and investor strength into one comparable score from 0 to 100. It lets you compare companies on those three measures; it is not a rating of the investment. How it works

Databricks valuation history

Funding roundsSecondary market price

Crossed $7B annualized revenue run-rate in Q2 2026, +80% YoY; adjusted cash-flow positive for the trailing 12 months. CEO Ali Ghodsi says Databricks still intends to IPO eventually but is prioritizing AI investment now given abundant private capital; he called 2026 'a terrible year to go public' given a crowded IPO calendar and floated 2027 as the earliest plausible window. No S-1 filed as of Sept 2026. Series L's $4B headline figure is the announced primary tranche; the Feb 2026 close grew the package to >$7B including a separate debt facility.