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Databricks is a cloud-based platform for data engineering, analytics, and AI/ML. It’s best known for helping teams build and run data pipelines, train and deploy machine learning models, and power business analytics in a single environment. Databricks was founded in 2013 by the original creators of Apache Spark and is closely associated with the “lakehouse” approach to modern data platforms.
Because Databricks is enterprise software, “user base” usually isn’t a public metric. The most useful scale indicators are customer count, revenue run-rate, net retention, and enterprise consumption tiers.
Answer (quick snapshot)
Databricks reported 10,000 customers in 2024 and later stated it serves 12,000+ customers (2025). In 2026, Databricks reported surpassing a $5.4B revenue run-rate with positive free cash flow over the last 12 months.
Databricks key metrics
| Metric | Figure | Year / Date | Source |
|---|---|---|---|
| Customers | 10,000 | Dec 17, 2024 | Reuters |
| Customers | 12,000+ | Mar 6, 2025 | Databricks press release |
| Revenue run-rate | $5.4B | Feb 9, 2026 | Databricks press release |
| YoY growth (run-rate basis) | >65% YoY | Feb 9, 2026 | Databricks press release |
| Net retention rate | >140% | Feb 9, 2026 | Databricks press release |
| AI products revenue run-rate | $1.4B | Feb 9, 2026 | Databricks press release |
| Customers consuming > $1M annual run-rate | >800 | Feb 9, 2026 | Databricks press release |
| Employees | ~8,000 employees in 23 countries | Mar 6, 2025 | Databricks press release |
| Funding (Series J) | $10B expected non-dilutive financing (announced) | Dec 17, 2024 | Databricks press release |
| Valuation (as announced) | $62B | Dec 17, 2024 | Reuters | Databricks |
What is Databricks?
Databricks is best known for bringing data engineering, analytics, and machine learning into a unified platform (often described as a “lakehouse”). It started from the team behind Apache Spark and has since expanded into a broad data + AI stack, including governance, data sharing, and tools for building AI applications on top of enterprise data.
Why Databricks is often measured by “customers” (not users)
- It’s B2B software: companies subscribe, then many teams (engineers, analysts, data scientists) use it inside the organization.
- Consumption model: platform scale is often reflected in customer spend tiers (e.g., customers consuming $1M+ annually).
- Retention: net retention rate indicates whether usage expands over time in existing accounts.
Databricks timeline (high-level)
- 2013: Founded by the original creators of Apache Spark.
- Dec 2024: Databricks announces a Series J financing round valuing the company at $62B.
- Mar 2025: Databricks states it serves 12,000+ customers and has around 8,000 employees worldwide.
- Feb 2026: Databricks reports a $5.4B revenue run-rate and continued strong retention.
FAQ
How many customers does Databricks have?
Reuters reported Databricks had 10,000 customers in December 2024. Databricks later stated it serves more than 12,000 customers in a March 2025 company release.
How much revenue does Databricks make?
Databricks reports a revenue run-rate rather than a single annual revenue figure in its press releases. In February 2026, Databricks stated it surpassed a $5.4B revenue run-rate with >65% YoY growth (run-rate basis).
How many employees does Databricks have?
Databricks stated it had around 8,000 employees across 23 countries (March 2025 company release).
What is the Databricks “lakehouse”?
“Lakehouse” is a modern architecture concept that aims to combine the flexibility of data lakes with the performance and management features of data warehouses, so teams can run analytics and AI workloads on the same platform.
What was Databricks’ 2024 valuation?
Databricks announced a $62B valuation in connection with its Series J financing (Dec 17, 2024), which Reuters also reported.
Sources
- Reuters (Dec 17, 2024: valuation, funding context, customer count)
- Databricks press release (Dec 17, 2024: Series J details)
- Databricks press release (Mar 6, 2025: employees and customer count)
- Databricks press release (Feb 9, 2026: revenue run-rate, retention, AI product run-rate)
- Databricks About (founding and company overview)
