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Head to head · 2026

deepset vs Qdrant

Pricing, free plans, ratings, features, pros and cons, side by side. Where one comes out ahead, we mark it.

deepset

Berlin-based maker of the Haystack framework for building, testing, deploying and governing RAG systems and agents…

4.1Free

Visit deepset (opens deepset in a new tab)

Qdrant

Open-source vector database that raised a $50M Series B to power retrieval for AI agents

4.3Free

Visit Qdrant (opens Qdrant in a new tab)

Who comes out ahead

Based only on the facts in our directory. The right pick still depends on the job you need done.

  • Lower starting price

    Not comparable

    Not comparable: deepset does not list a price

  • Free plan

    Tie

    Both have one

  • Higher rating

    Qdrant

    4.1 against 4.3

  • Same job?

    Yes

    Both are AI Infrastructure & Agent Tooling tools

Side by side

Compared ondeepsetQdrant
Our rating4.14.3Better
Starts atFreeFree
Free planYesYes
CategoryAI Infrastructure & Agent ToolingAI Infrastructure & Agent Tooling
PlansFreeFree
Key features
  • Haystack open-source framework for composing AI pipelines
  • Enterprise Platform to build, test, deploy and govern agents and RAG systems
  • Agent builder with visual pipelines or full code
  • Cloud, self-hosted and VPC deployment
  • Evaluation and testing tools
  • Open-source vector database, free to self-host with full source access
  • Qdrant Cloud managed service with a free tier and usage-based paid plans
  • Purpose-built for semantic search, recommendations, and RAG pipelines
  • $50M Series B raised March 2026 to expand agent-retrieval infrastructure
  • Filterable vector search with payload metadata alongside embeddings
Pros
  • Model- and infrastructure-agnostic, with data kept on your own terms
  • Open-source core with an enterprise governance layer
  • Public-sector and industrial customers named
  • Open-source option gives full control and zero licensing cost for self-hosted deployments
  • Managed cloud tier removes the operational overhead of running vector search infrastructure
  • Free tier on Qdrant Cloud is generous enough for real prototyping, not just a demo
Cons
  • Enterprise pricing is not published; a demo is the entry
  • A toolkit that needs engineering effort rather than a finished assistant
  • Governance features appear to sit in the Enterprise Platform, not the open-source core
  • Self-hosting still requires infrastructure expertise the managed tier is meant to remove
  • Competes in a crowded vector-database field against Pinecone and several open-source alternatives
  • Newer funding means less operating history than some competing vector databases
CompanydeepsetQdrant, founded 2021

Prices come from each vendor's pricing page, last checked 20260921. Check the vendor before you buy.

FAQ

Questions people ask

Is deepset better than Qdrant?

In our reviews deepset scores 4.1 and Qdrant scores 4.3. The better pick depends on the job. deepset: Berlin-based maker of the Haystack framework for building, testing, deploying and governing RAG systems and agents on your own infrastructure. Qdrant: Open-source vector database that raised a $50M Series B to power retrieval for AI agents.

Which is cheaper, deepset or Qdrant?

deepset: free. Qdrant: free.

Do deepset and Qdrant have free plans?

Yes, both have a free plan.

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