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Qdrant

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Fast open-source vector search engine written in Rust.

Visit Qdrant →DocsGitHub

Qdrant is an Apache-2.0 vector database written in Rust, known for performance, rich payload filtering, and quantization to cut memory. It offers self-hosting and a managed Qdrant Cloud with a free tier.

License
Open source (Apache-2.0)
Deployment
Managed, Self-hosted
Pricing
Open-source; Qdrant Cloud has a free tier and usage-based paid plans.
SDKs / languages
Python, TypeScript, Rust, Go
Founded
2021

Strengths

  • High performance (Rust)
  • Advanced payload filtering
  • Quantization reduces memory cost

Limitations

  • Fewer built-in embedding modules
  • Managed tier younger than incumbents

Alternatives

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Developer-friendly open-source embedding database.
LanceDB
Embedded, serverless vector database on the Lance columnar format.
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Scalable open-source vector database for billion-scale search.
MongoDB Atlas Vector Search
Vector search built into MongoDB Atlas documents.
pgvector
Vector similarity search as a Postgres extension.
Pinecone
Fully managed, serverless vector database.
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Facts verified 19 July 2026. Neutral summary, not an endorsement; verify current details with the vendor.