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Data & AI InfrastructureFounded 2013·San Francisco, CA

Databricks

The data + AI 'lakehouse' platform racing toward one of tech's biggest IPOs.

Updated June 28, 2026 · Analysis by Trace Cohen · databricks.com

Valuation
~$134B

~$7B equity+debt round, early 2026

~$134B
Valuation

~$7B equity+debt round, early 2026

~$5.4B
Annualized revenue

with positive free cash flow

2013
Founded

by the creators of Apache Spark

IPO
Pipeline

named in the 2026 mega-IPO list

Valuation: ~$134B

Set in an early-2026 round of roughly $7B in equity and debt. Databricks is frequently named in the 2026 mega-IPO pipeline alongside the frontier AI labs.

How Databricks makes money

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 ~$5.4B in annualized revenue with positive free cash flow is what makes it a credible near-term IPO candidate rather than a cash-burning AI bet.

Funding

Databricks closed roughly $7B in equity and debt in early 2026 at a ~$134B valuation (some reports put the target as high as $175B). The mix of equity and debt, plus positive free cash flow, reflects a company positioning its balance sheet for a public listing.

Competitive landscape

Snowflake

The public data-cloud rival; the core lakehouse-vs-warehouse battle.

AWS / Azure / Google Cloud

Hyperscalers' native data + AI services.

Microsoft Fabric

Bundled analytics pressuring standalone platforms.

TC

Trace's Take

Trace Cohen · early-stage VC

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 positive cash flow. In a market where the frontier labs are valued on narrative, Databricks gets valued on multiples. If it prices well, it becomes the template public-market investors use to sanity-check every private AI mark above it.

Frequently asked questions

What is Databricks' valuation in 2026?+

Databricks is valued at approximately $134 billion following an early-2026 round of about $7 billion in equity and debt; some reports cited a target as high as $175 billion.

How does Databricks make money?+

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.

Is Databricks going to IPO?+

Databricks is repeatedly named in the 2026 mega-IPO pipeline. With roughly $5.4 billion in annualized revenue and positive free cash flow, it is one of the most IPO-ready private tech companies, though it has not confirmed a date.

Related

AI IPO Pipeline→
IPO Dashboard→
AI Valuations dashboard→
Venture Capital Statistics 2026→

Sources

  • Databricks targets $175B valuation (MEXC News)
  • The 2026 Mega-IPO Pipeline

Analysis by Trace Cohen · @Trace_Cohen · t@nyvp.com. Figures are as of the update date; verify before relying on them.