Databricks, Inc.☆Watch⊞Compare

Analyst read est. — computed against this company's niche peers in the same era. Inputs shown; not a quoted figure.

No named principal in this company's public records yet — see all operators below.

Explore how these operators interlock with other companies in the operator network.

Databricks, Inc. is one of 2067 AI / ML companies tracked from SAN FRANCISCO. By capital raised it ranks among the largest (ahead of 100% of sector peers), and among the largest by modeled valuation est..

Ranking is computed against this company's own sector cohort — reported capital is fact; valuation tiers are modeled.

AI analyst read est. — model-extracted from this company's public description, not a verified fact. 30%

operates a technology-led product inferred from public copy

Grounded in: “You are a venture analyst”

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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Trades publicly as Databricks.

As reported in public records reported — not modeled.

Solid bars are reported offering amounts reported; hatched bars are the modeled post-money valuation est. — both on one shared scale so you can read raise-vs-worth at each round directly. Use the toggles to overlay data labels and the niche-peer / market average value lines.

Round size and date are reported; the stage label is inferred from round size (latest is Growth/Late — a round over $400M). Valuation is modeled from stage benchmarks scaled by the ai/ml sector profile. Directional, not a quoted figure.

Benchmarked against 2067 companies in AI / ML. Each bar is a median (the middle company, not an average — outliers don't skew it). Two yardsticks: real money raised (reported on Form D) and modeled value (our estimate est.). These are whole-sector medians across all stages, except the per-stage row.

Raised more than 100% of sector peers (real $). Modeled value above 100% of peers (estimate).

A tighter cohort than the sector chart above — only companies at the same stage (Growth/Late) that last raised in the same ~3-year era, ranked by modeled value est. (not money raised). This is the exact set the analyst read compares against, so a like-for-like cohort is what makes "over/under-valued" meaningful. This company ranks #1 of 8.

Stage is inferred from round size est., not reported on the filing — a round's dollar size maps to a bucket: Pre-Seed <$1.0M · Seed $1.0M–$4.0M · Series A $4.0M–$15M · Series B $15M–$40M · Series C $40M–$100M · Series D+ $100M–$400M · Growth/Late >$400M.

Step-up, pace versus the sector's normal cadence, and revenue/exemption moves — read straight from the reported round facts reported.

1. Series A$13.9M2013-09-11
   • First recorded raise — entered as Series A.
   • 9 investors on this round.
2. Series A$13.9M2013-09-11
   • Filed alongside the prior round (same month) — likely a tranche or amendment.
   • Round roughly the size of the prior one.
   • 9 investors on this round.
3. Series B$33.4M2014-06-06
   • Raised 9 mo later, in step with the ~11 mo sector norm.
   • Round 2.4× larger than the prior — scaling up.
   • 8 investors on this round.
4. Series B$33.4M2014-06-06
   • Filed alongside the prior round (same month) — likely a tranche or amendment.
   • Round roughly the size of the prior one.
   • 8 investors on this round.
5. Series D+$140.0M2017-08-03
   • Raised again after 38 mo — slower than the ~11 mo sector norm.
   • Round 4.2× larger than the prior — scaling up.
   • 16 investors on this round.
6. Series D+$250.0M2019-01-11
   • Raised again after 17 mo — slower than the ~11 mo sector norm.
   • Round 1.8× larger than the prior — scaling up.
   • 16 investors on this round.
7. Growth/Late$400.0M2019-10-22
   • Raised 9 mo later, in step with the ~11 mo sector norm.
   • Round 1.6× larger than the prior — scaling up.
   • 46 investors on this round.
8. Growth/Late$1.0B2021-02-01
   • Raised 15 mo later, in step with the ~11 mo sector norm.
   • Round 2.5× larger than the prior — scaling up.
   • 155 investors on this round.
9. Growth/Late$1.6B2021-08-31
   • Raised 7 mo later, in step with the ~11 mo sector norm.
   • Round 1.6× larger than the prior — scaling up.
   • 168 investors on this round.
10. Growth/Late$673.8M2022-09-30
    • Raised 13 mo later, in step with the ~11 mo sector norm.
    • Round 2.4× smaller than the prior — bridge or down round.
    • 81 investors on this round.
11. Growth/Late$503.7M2023-09-14
    • Raised 11 mo later, in step with the ~11 mo sector norm.
    • Round 1.3× smaller than the prior — bridge or down round.
    • Switched to Rule 506(c) (was Rule 506(b)).
    • 84 investors on this round.
12. Growth/Late$684.6M2023-09-14
    • Filed alongside the prior round (same month) — likely a tranche or amendment.
    • Round 1.4× larger than the prior — scaling up.
    • 91 investors on this round.
13. Growth/Late$1.6B2023-11-03
    • Came back fast: 2 mo vs the ~11 mo sector norm.
    • Round 2.3× larger than the prior — scaling up.
    • Switched to Rule 506(b) (was Rule 506(c)).
    • 88 investors on this round.
14. Growth/Late$665.7M2025-05-27
    • Raised again after 19 mo — slower than the ~11 mo sector norm.
    • Round 2.4× smaller than the prior — bridge or down round.
    • 237 investors on this round.
15. Growth/Late$955.0M2025-09-08
    • Came back fast: 3 mo vs the ~11 mo sector norm.
    • Round 1.4× larger than the prior — scaling up.
    • Switched to Rule 506(c) (was Rule 506(b)).
    • 124 investors on this round.
16. Growth/Late$23.0M2025-09-30
    • Came back fast: 1 mo vs the ~11 mo sector norm.
    • Round 41.5× smaller than the prior — bridge or down round.
    • Switched to Rule 506(b) (was Rule 506(c)).
    • 15 investors on this round.
17. Growth/Late$4.1B2025-12-16
    • Came back fast: 3 mo vs the ~11 mo sector norm.
    • Round 177.3× larger than the prior — scaling up.
    • Switched to Rule 506(c) (was Rule 506(b)).
    • 153 investors on this round.

Predictive signals are modeled est. from this company's own cadence and step-up, plus sector benchmarks — directional, not advice. Peer set and a CSV export live in your analyst workspace.

Officers, directors and promoters named in this company's public recordsreported — the people who run it (not its investors). "Also runs" counts come from name-matching across all records, so verify before acting.

Databricks, Inc. is an official record sourced from the U.S. Securities and Exchange Commission (SEC). U.S. data is aggregated from SEC Form D filings.

Discovered from databricks — the partnerships, launches, hiring and press it publishes about itself. Evidence the company is alive and what it is doing now, not financial data.

• UpdateHow Databricks is turning video into searchable, actionable intelligence2026-06-26
• UpdateWhat’s New in the AI Platform: Agents for ML Engineering, Our Deep Learning Platform, and New Capabilities for Real-Time ML2026-06-17
• UpdateSciene AI Companion: building an autonomous Customer Success platform on Databricks2026-06-16
• ProductIntroducing Omnigent: A Meta-Harness to Combine, Control and Share Your Agents2026-06-13
• ProductClaude Fable 5 is now available on Databricks, fully governed through Unity AI Gateway2026-06-09
• Update3x Faster Search: Parallel Test-Time Scaling with Instructed-Retriever-12026-06-04
• UpdateAccelerating LLM Inference with Prompt Caching for Open‑Source Models on Databricks2026-05-22
• UpdateObservability for any agent, anywhere: Production-ready tracing with OpenTelemetry & Unity Catalog on Databricks2026-05-22
• UpdateFrom "What Happened?" to "What Will Happen?"2026-05-21
• UpdateMeet KARL: A faster agent for enterprise knowledge, powered by custom RL2026-03-05
• UpdateReliable LLM Inference at Scale

Nearest neighbours across the whole database — matched on sector, stage and capital scale, and on shared operators (officers or directors named at both companies in public filings). A discovery shortlist, not a valuation cohort — verify before acting, the same way modeled figures are directional.

Matched by meaning, not labels — a local language model reads each company's name, sector and description and ranks the closest in that learned space. This catches look-alikes that cross sector boundaries; the structured list above explains its matches, this one trusts the text. Directional, like every modeled signal here.

See where Databricks, Inc. sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.

If you work at Databricks, Inc., claim this profile or suggest a correction. We aggregate from public filings, so help us keep your description, website and links accurate.