Databricks vs Qdrant: Funding, Valuation & Strategy Compared

Databricks and Qdrant are two of the most closely watched companies in AI. This comparison breaks down their funding, valuations, investors, and strategic positioning.

May 2, 2029
AI Funding TeamAI venture capital intelligence — tracking $336B+ in funding across 308 companies
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Introduction

Databricks and Qdrant 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

MetricDatabricksQdrant
Founded20132021
HQSan Francisco, CABerlin, Germany
SectorAI InfrastructureAI Infrastructure
Employees5,000N/A
Total Raised$12.0B$78M
Latest Valuation$62.0B$333M
Latest RoundSeries J ($10.0B)Series B ($50M)
Revenue Run Rate$2.4B+ ARRN/A
FounderAli Ghodsi (CEO & Co-Founder)()

Funding Comparison

Databricks — Funding History

RoundAmountValuationDateLead Investor
Series J$10.0B$62.0BDec 10, 2025Thrive Capital
Series I$500M$62.0BDec 20, 2024Thrive Capital
Series H$500M$43.0BSep 14, 2023Undisclosed
Series G$1.0B$38.0BAug 31, 2021Undisclosed

Total Raised: $12.0B across 4 round(s)

Qdrant — Funding History

RoundAmountValuationDateLead Investor
Series B$50M$333MMar 13, 2026AVP
Series A$28M$140MJan 23, 2024Spark Capital

Total Raised: $78M across 2 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

Unique to Databricks

  • Thrive Capital
  • Andreessen Horowitz
  • NVIDIA
  • Undisclosed

Unique to Qdrant

  • AVP
  • Bosch Ventures
  • Unusual Ventures
  • Spark Capital

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.

Qdrant

> Open-source vector search engine built in Rust, providing fast and scalable similarity search infrastructure for production AI applications including RAG systems, AI agents, and recommendation engines.

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 Qdrant?

Databricks has raised more total funding at $12.0B, compared to Qdrant's $78M. That is a difference of $11.9B.

Which company is valued higher — Databricks or Qdrant?

Databricks has a higher latest valuation at $62.0B, compared to Qdrant's $333M. Databricks's valuation is 186.2x that of Qdrant.

Which company was founded first?

Databricks was founded in 2013, 8 year(s) before Qdrant (2021).

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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