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Open Source · RAG

Qdrant

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI.

Our verdict

Not reviewed yet

We have not reviewed Qdrant yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About Qdrant

Qdrant is a vector database and search engine written in Rust, designed for storing and querying high-dimensional embeddings at scale. It provides similarity search capabilities for AI applications and supports both self-hosted and cloud deployment options.

Best for

Builders needing fast, scalable vector search for embeddings in production AI systems

Use cases

  • Semantic search over document embeddings
  • Recommendation systems based on vector similarity
  • RAG pipeline vector storage and retrieval

Notes

31,735 stars on GitHub. Last updated 2026-06-01. Licensed Apache-2.0.

Pros

  • High performance written in Rust with low latency
  • Handles massive scale with efficient indexing
  • Open source with active community (31k+ stars)

Cons

  • Requires operational overhead for self-hosted deployments
  • Learning curve for vector database concepts and tuning
  • Ecosystem smaller than established SQL databases

Key facts

What we have checked

Latest version
1.20.0 (released 22 Oct 2026)
Checked GitHub
GitHub stars
34,831
Checked github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

Stars and usage

How Qdrant is growing

GitHub stars

31,735 to 34,831

stars. 12 July 2026 to 26 Sept 2026, 2 readings.

Source: github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438. Checked .

Alternatives

Alternatives to Qdrant

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AquilaDBAlternative to thisOpen sourceNamed in the listingNot dated
ArcadeData/arcadedbAlternative to thisMCP serverNamed in the listingNot dated
AwadbAlternative to thisOpen sourceNamed in the listingNot dated
ChromaAlternative to thisOpen sourceNamed in the listingNot dated
deeplakeAlternative to thisOpen sourceNamed in the listingNot dated
LancedbAlternative to thisOpen sourceNamed in the listingNot dated
MarqoAlternative to thisOpen sourceNamed in the listingNot dated
MilvusAlternative to thisOpen sourceNamed in the listingNot dated
pgvectorAlternative to thisOpen sourceNamed in the listingNot dated
PineconeAlternative to thisOpen sourceNamed in the listingNot dated
RivestackAlternative to thisOpen sourceNamed in the listingNot dated
ValdAlternative to thisOpen sourceNamed in the listingNot dated
VearchAlternative to thisOpen sourceNamed in the listingNot dated
VectorDBAlternative to thisOpen sourceNamed in the listingNot dated
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Compare

Compare Qdrant side by side

Sources

Where this comes from

  • GitHubOfficial

    Checked · Latest version

  • github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry

    Checked · GitHub stars

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

  1. Released 1.20.0

    Source: GitHub

  2. Released 1.19.2

    Source: GitHub

  3. Released 1.19.1

    Source: GitHub

  4. Released 1.19.0

    Source: GitHub

  5. Released 1.18.3

    Source: GitHub

  6. Released 1.18.2

    Source: GitHub

  7. Released 1.18.1

    Source: GitHub

  8. Released 1.18.0

    Source: GitHub

  9. Released 1.17.1

    Source: GitHub

  10. Released 1.17.0

    Source: GitHub

Open-source & AI alternatives

Swap-in tools that solve the same job. Weigh the trade-offs before you commit.

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AquilaDB

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An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.

★ 380
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Awadb

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Chroma

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deeplake

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Ecommerce Search and Discovery - marqo.ai

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★ 21,551
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Pinecone

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Search through billions of items for similar matches to any object, in milliseconds. It’s the next generation of search, an API call away.

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Managed pgvector on dedicated PostgreSQL with NVMe storage. 2,000 QPS at sub-4ms p50, from $35/month, migration help from Supabase, Neon, Pinecone, and self-hosted.

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Vald

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