Databricks vs Nimble: Funding, Valuation & Strategy Compared
Databricks and Nimble are two of the most closely watched companies in AI. This comparison breaks down their funding, valuations, investors, and strategic positioning.
Introduction
Databricks and Nimble are two of the most closely watched companies in AI. This comparison breaks down their funding, valuations, investors, and strategic positioning.
The AI funding landscape continues to evolve rapidly, with significant capital flowing into companies pushing the boundaries of artificial intelligence. This period's activity reflects both growing investor confidence and the increasing maturity of the ecosystem. Deal sizes and valuations continue to climb as AI transitions from experimental technology to core enterprise infrastructure.
At a Glance
| Metric | Databricks | Nimble |
|---|---|---|
| Founded | 2013 | N/A |
| HQ | San Francisco, CA | New York, NY |
| Sector | AI Infrastructure | AI Infrastructure |
| Employees | 5,000 | N/A |
| Total Raised | $12.0B | $47M |
| Latest Valuation | $62.0B | $313M |
| Latest Round | Series J ($10.0B) | Undisclosed ($47M) |
| Revenue Run Rate | $2.4B+ ARR | N/A |
| Founder | Ali Ghodsi (CEO & Co-Founder) | () |
Funding Comparison
Databricks — Funding History
| Round | Amount | Valuation | Date | Lead Investor |
|---|---|---|---|---|
| Series J | $10.0B | $62.0B | Dec 10, 2025 | Thrive Capital |
| Series I | $500M | $62.0B | Dec 20, 2024 | Thrive Capital |
| Series H | $500M | $43.0B | Sep 14, 2023 | Undisclosed |
| Series G | $1.0B | $38.0B | Aug 31, 2021 | Undisclosed |
Total Raised: $12.0B across 4 round(s)
Nimble — Funding History
| Round | Amount | Valuation | Date | Lead Investor |
|---|---|---|---|---|
| Undisclosed | $47M | $313M | Feb 24, 2026 | Undisclosed |
Total Raised: $47M across 1 round(s)
The funding trajectory demonstrates accelerating momentum, with round sizes and valuations increasing as key milestones are delivered and market presence expands.
Investor Analysis
Shared Investors
The following investors have backed both Databricks and Nimble:
- Undisclosed
Unique to Databricks
- Thrive Capital
- Andreessen Horowitz
- NVIDIA
Unique to Nimble
- None (all investors also back Databricks)
The competitive landscape remains dynamic, with established players and well-funded startups vying for market share. Differentiation increasingly comes from technology depth, go-to-market execution, and strategic partnerships that provide distribution advantages.
Strategy & Positioning
Databricks
> Unified analytics platform combining data engineering, data science, and machine learning on a single lakehouse architecture. Founded by the creators of Apache Spark, Databricks offers a Data Intelligence Platform with built-in governance, real-time streaming, and the open-source Unity Catalog. A critical infrastructure layer powering enterprise AI and one of the most valuable private tech companies globally.
The competitive landscape remains dynamic, with established players and well-funded startups vying for market share. Differentiation increasingly comes from technology depth, go-to-market execution, and strategic partnerships that provide distribution advantages.
Nimble
> AI-powered web intelligence platform that deploys search agents to extract structured, real-time data from the internet for retail analytics, brand monitoring, and alternative data.
The competitive landscape remains dynamic, with established players and well-funded startups vying for market share. Differentiation increasingly comes from technology depth, go-to-market execution, and strategic partnerships that provide distribution advantages.
Frequently Asked Questions
Who has raised more funding — Databricks or Nimble?
Databricks has raised more total funding at $12.0B, compared to Nimble's $47M. That is a difference of $12.0B.
Which company is valued higher — Databricks or Nimble?
Databricks has a higher latest valuation at $62.0B, compared to Nimble's $313M. Databricks's valuation is 198.1x that of Nimble.
Verdict
Under current leadership, the company has navigated rapid growth while maintaining technical excellence and a clear strategic vision for the future of AI.
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