Qdrant vs ChromaDB vs Weaviate
Side by side, from each listing’s own data. A row where every column says the same is shown once, dimmed.
 Qdrantby QdrantRemove Qdrant from this comparison |  ChromaDBby ChromaRemove ChromaDB from this comparison |  Weaviateby WeaviateRemove Weaviate from this comparison | |
|---|---|---|---|
| Sets it apart | — |
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| What it is | High-performance open-source vector database. Supports dense, sparse, and multi-vector search. On-premise or cloud. Rust-built for production-scale RAG pipelines. | Open-source embedding database for local and cloud AI apps. Simple API for storing, querying, and filtering embeddings. First choice for RAG prototyping. | Stores objects and vectors together, combining semantic search with structured filtering for scalable, cloud-native AI application backends. |
| Provider | Qdrant | Chroma | Weaviate |
| Official vendor | Not an official listingSame for all | ||
| Verified | YesSame for all | ||
| Access | API, CLI | API, CLI | API, MCP |
| Auth | API Key | None | API Key |
| MCP server | No MCP server | No MCP server | In its setup guide |
| CLI install | In its docs | In its docs | No CLI |
| API base URL | In its docsSame for all | ||
| Skills | Index and query dense vectors with HNSW for high-recall approximate search, Support sparse vectors for keyword-style retrieval alongside semantic dense search, Apply complex payload filters to narrow search results without re-ranking overhead, Use named multi-vector collections for image, text, and code embedding co-search, Quantize vectors to reduce memory footprint by up to 32x with minimal recall loss | Store embedding vectors with associated documents and metadata in local collections, Query collections by embedding similarity with built-in distance function support, Filter results by metadata fields using a Pythonic where clause syntax, Embed documents automatically using built-in or custom embedding functions, Deploy locally for prototyping or switch to cloud-hosted Chroma for production | None listed |
| Streaming | NoSame for all | ||
| Push notifications | NoSame for all | ||
| Categories | Vector DatabasesSame for all | ||
| Tags | vector-database, open-source, rag, embeddings, rust, self-hosted, semantic-search | vector-database, open-source, embeddings, rag, python, local-first | vector-database, open-source, rag, semantic-search, cloud-native |
| Listed since | Apr 8, 2026 | Apr 8, 2026 | May 22, 2026 |
| Use it now | |||
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