Databricks
Worth-Joining Index · Scorecard
v2.1 ALPHA · 2026-08Career Score
67/100
Coverage
100%
Verified
0%
Stage cohort
Late
Vibe Check
🎪 community voting coming soon
Latest valuation
$188B (Strategic round, term sheet 2026-07, closing 2026-08)
Total raised
~$27B total raised (2026-08)
Team size
~15,965 employees
Traction · Key numbers
Funding
Total raised
~$27B total raised (2026-08)
Rounds
3
Valuation pace
Valuation went from $100B
Strategic round · 2026-07 · led by Coatue, Blackstone, MGX, T. Rowe Price, Sixth Street
Reported strategic funding valuation
Follow-on round · 2025-12
Valuation up ~34% from Series K
$1B
Series K · 2025-08 · valuation $100B+ post · led by Andreessen Horowitz, Insight Partners, MGX, Thrive Capital, WCM Investment Management
Funds Agent Bricks expansion and new Lakebase database product
▸~$27B total raised with valuation nearly doubling to $188B in under a year, backed by a lineup spanning VC/PE/sovereign funds (Coatue, Blackstone, MGX, T. Rowe Price) — the market is pricing this as the highest-conviction AI infrastructure bet available
▸~$7B ARR run-rate with >80% YoY growth at this scale is a rare capital-efficiency signal, not pure growth-by-burn
▸The rapid pace of rounds (Series K to strategic round in under a year) raises real concerns about private AI infrastructure valuations running ahead of any actual exit/IPO price discovery
Founders
Ali Ghodsi CEO
UC Berkeley researcher and Apache Spark contributor; became CEO in 2016
Ion Stoica 联合创始人
UC Berkeley professor, distributed systems researcher
Matei Zaharia CTO
Creator of Apache Spark, now CTO
Reynold Xin 联合创始人
Apache Spark core contributor
Patrick Wendell 联合创始人
Apache Spark PMC member
Andy Konwinski 联合创始人
UC Berkeley AMPLab researcher
Reality · Working here
Signals & Risks
Editorial ✎
Good fit for
· Data/ML infra engineers who want to work on genuinely massive-scale lakehouse systems serving Fortune 500 core data stacks
· People who want to build enterprise AI products without building distributed compute/storage from scratch — Spark, Delta Lake, Unity Catalog give deep technical moats
· Those who prefer a 'mature but still hypergrowth' stage — PMF is proven, the game now is scaled execution and enterprise sales, not 0-to-1 direction-finding
Not for
· People chasing early-stage equity upside and outsized individual influence in a small team — at ~16K headcount, decision chains are long and individual leverage is limited
· Those uninterested in enterprise sales cycles and complex customer relationships — the core growth engine is still a sales-heavy, customer-success-heavy enterprise software motion
Ask in the interview
1. What implied revenue multiple does the $188B valuation carry, and is there a concrete IPO timeline to validate that pricing?
2. Facing direct competition from Snowflake and native cloud data services (AWS/Azure/GCP), what specifically is Databricks' differentiation moat, and what do churn/renewal numbers say about stickiness?
3. At ~16K headcount, how much influence does an individual contributor actually have over product direction — any concrete examples of bottom-up decisions shipping?
Data changelog
Community corrections → editorial review → applied, fully on the record
data as of 2026-08 · Source: News aggregation (search summary) ↗
data as of 2026-07 · Source: Databricks newsroom ↗
data as of 2026-08 · Source: Tracxn/PitchBook aggregate estimates ↗
data as of 2026-08 · Source: Databricks newsroom ↗
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