Databricks Files for IPO at $134B Valuation: Enterprise AI Goes Public
Databricks targets a $134B IPO with $5.4B ARR. The Lakehouse AI leader aims to become the biggest enterprise AI company on public markets.
On March 16, 2026, Databricks is preparing its initial public offering (IPO) with a target valuation of $134 billion. With $5.4 billion in annual recurring revenue and 50% year-over-year growth, the data and enterprise AI leader is set to become one of the largest tech IPOs of the decade.
Databricks in 60 Seconds
Databricks was founded in 2013 in San Francisco by Ali Ghodsi and the creators of Apache Spark at UC Berkeley. The flagship product: the Databricks Lakehouse Platform, which merges data warehouse and data lake into a single unified platform.
The Lakehouse concept is simple. Companies no longer need two separate systems to store and analyze their data. Everything converges on one platform — storage, transformation, analytics and AI.
Today, over 10,000 companies use Databricks. Among them: Samsung, Comcast, Rivian and Shell. In 2023, the acquisition of MosaicML for $1.3 billion added a generative AI layer to the platform, enabling customers to train their own language models.
The Numbers That Impress
The target valuation of $134 billion makes Databricks the most expensive private startup in the data/AI sector. For perspective: during its last private funding round in 2023, Databricks was valued at $15.3 billion. That's a 9x increase in three years.
Revenue keeps pace. ARR (Annual Recurring Revenue) has reached $5.4 billion, up 50% year-over-year. At this pace, Databricks will surpass $8 billion in ARR by the end of 2027.
Early investors made the right call. Andreessen Horowitz, Google Ventures, Microsoft, Amazon and Salesforce Ventures all hold stakes. Wall Street is watching closely — the IPO could land on the NYSE or NASDAQ in the coming months.
Why Now? The Return of Tech IPOs
After years of post-2022 caution, tech IPOs are back in force in 2026. Klarna (fintech, ~$20B), Chime (neobank, ~$25B) and StubHub (ticketing, ~$16B) are also preparing to go public.
| Company | Target valuation | Sector | Status |
|---|---|---|---|
| Databricks | $134B | Data / Enterprise AI | In preparation |
| Klarna | ~$20B | Fintech / BNPL | Filed |
| Chime | ~$25B | Neobank | In preparation |
| StubHub | ~$16B | Ticketing | In preparation |
The inevitable comparison is Snowflake. Databricks' direct competitor has been publicly traded since 2020 and is currently valued at roughly $60 billion. At its IPO, Snowflake raised $3.4 billion — a record at the time. Databricks is aiming much bigger.
The valuation gap between the two sends a clear message: the market now values enterprise AI as a standalone segment, distinct from traditional INTERNAL LINK: data infrastructure | data AI tools article.
The AI Angle: Databricks Is No Longer Just a Data Company
Databricks has made a strategic pivot toward AI. The MosaicML acquisition in 2023 was the first signal. Then came DBRX, Databricks' open-source LLM (large language model) — the best open-source model at the time of its release in 2024.
Today, the platform integrates Unity Catalog, a data governance system that gives enterprises precise control over which data feeds which models. This is a decisive argument against giants like OpenAI or Google: with Databricks, companies train and deploy their AI models on their own data, without sending anything to a third party.
This promise of data sovereignty resonates particularly in Europe. Companies subject to GDPR or strict regulatory constraints find a credible alternative to APIs from INTERNAL LINK: open-weight models like DeepSeek V4 | DeepSeek V4 article or cloud solutions from Google and Microsoft.
What This Means for Startups and Builders
An IPO of this scale creates a ripple effect across the entire ecosystem. If public markets value Databricks at 25x ARR, valuation multiples for growth-stage data/AI startups will mechanically rise.
For builders and developers, a publicly traded Databricks also means more resources invested in the platform. New integrations with INTERNAL LINK: vibe coding tools and AI IDEs | vibe coding article are likely. The Lakehouse could become the standard data layer for INTERNAL LINK: enterprise AI agents | AI agents in enterprise article.
Competing startups — Anyscale, Scale AI, Mistral AI on the models side — are watching Databricks' IPO closely. If it succeeds, the window opens for other INTERNAL LINK: AI unicorns | new AI unicorns 2026 article seeking public funding.
Key Takeaways
- Databricks is preparing its IPO with a target valuation of $134 billion, which would make it one of the largest tech listings of 2026.
- ARR has reached $5.4 billion with 50% year-over-year growth, driven by the Databricks Lakehouse Platform and enterprise AI adoption.
- The MosaicML acquisition ($1.3B in 2023) and the launch of DBRX transformed Databricks into a full AI platform, not just a data company.
- Databricks positions itself against Snowflake (valued ~$60B) with a pitch centered on data sovereignty and in-house AI model training.
- The return of tech IPOs in 2026 (Klarna, Chime, StubHub) confirms that public markets are ready to welcome enterprise AI giants at premium multiples.
The Databricks IPO could be the signal AI unicorns have been waiting for to go public. If the market validates a $134 billion valuation for a data/AI platform, how long before Mistral, Scale AI or Anyscale follow the same path?
