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SPECIFICTION
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Qdrant vs Zvec

Qdrant

qdrant.tech

Zvec

zvec.org

Side by side

FigureQdrantZvec
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
WebYes—
WindowsYesYes
macOSYesYes
LinuxYesYes
iOS—Yes
Android—Yes
APIYesYes
Self-hostedYesYes
Plans published51
Spec score · Vector Databases8.0 (#9)7.5 (#20)
IntegrationsQdrant lists integrations including LangChain, LlamaIndex, Airbyte, Unstructured, DocArray, and AutoGen.The product site names integrations with Logseq, MyContext, ReMe, txtai, and CocoIndex.
SupportThe pricing page lists community support as Discord-only and paid support options with 10h/day business-hours or 24/7 coverage.The documentation directs users to report issues on GitHub and lists community channels including DingTalk, WeChat, Discord, and X.

Plans

Qdrant

  • Free TierFree
  • Hybrid CloudPriced on request
  • Premium TierPriced on request
  • Private CloudPriced on request
  • Standard TierPriced on request

Qdrant pricing →

Zvec

  • ZvecFree

Zvec pricing →

In their own words

Qdrant

Qdrant is a vector similarity search engine and API for storing, searching, and managing vectors with payload data. A point can pair a vector with JSON metadata that filters search results. It supports dense, sparse, and multivector configurations, plus hybrid retrieval that combines semantic and lexical search. These capabilities can serve semantic search and recommendation systems. Qdrant can run locally with its Docker image or through Qdrant Cloud. REST and gRPC APIs are available, along with official client libraries for Python, JavaScript/TypeScript, Rust, Go, .NET, and Java. Listed integrations include LangChain, LlamaIndex, Airbyte, Unstructured, DocArray, and AutoGen. The free cloud tier is intended for testing and prototypes, with a single-node cluster, 1GB RAM, and 4GB disk. Qdrant Cloud enables TLS and encryption at rest; self-hosted users must configure these controls, and authentication and encryption are off by default in self-hosted open-source deployments. Qdrant was founded in 2021 and is headquartered in Berlin, Germany.

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Zvec

Zvec is an open-source, in-process vector database for indexing and querying vectors locally without a server or external infrastructure. It supports dense and sparse vectors, full-text search, and hybrid retrieval with structured filters. Listed index types include Flat, HNSW, IVF, and DiskANN, with RaBitQ variants also available; quantization options include FP16, INT8, INT4, RaBitQ, and PQ. Write-ahead logging provides persistence across process crashes or power failures. Multiple processes can read a collection at once, while writes are exclusive to one process. SDKs are listed for Python, Node.js, Go, Rust, Dart/Flutter, C, and C++. The README lists Linux, macOS, and Windows support, and prebuilt SDK binaries are published for Android and iOS as well. Named integrations include Logseq, MyContext, ReMe, txtai, and CocoIndex. The maker presents Zvec for application developers working on prototyping, local development, embedded and edge applications, or production systems. Its product family also includes Zvec-Grep, a local search CLI and MCP tool for code, documentation, and text-based data. It is available free under the Apache License 2.0.

Visit zvec.org