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Qdrant Alternatives

7 alternatives to Qdrant — free and paid AI coding tools covering similar jobs, with pricing and standout strengths.

Full comparison: Best Vector Database in 2026: pgvector vs Pinecone vs Qdrant vs Weaviate vs Milvus vs Chroma vs LanceDB

Looking for a Qdrant alternative? Qdrant is listed under Platform (open source). The 7 tools below cover similar jobs, closest matches first — the table compares pricing, license, and platforms so you can shortlist quickly, and each entry further down adds a fuller summary and a link to the full profile.

ToolPricingLicensePlatformsCategory
Milvusopen sourceApache-2.0Linux, macOS, WindowsPlatform
Pineconefreemium—WebPlatform
Weaviateopen sourceBSD-3-ClauseLinux, macOS, WindowsPlatform
Chromaopen sourceApache-2.0Linux, macOS, WindowsSDK
pgvectoropen sourcePostgreSQLLinux, macOS, WindowsSDK
turbopufferpaid——Platform
LanceDBopen sourceApache-2.0Linux, macOS, WindowsSDK

Free and open-source alternatives to Qdrant

Qdrant alternatives in detail

  1. Milvus

    open sourceApache-2.0Linux, macOS, WindowsPlatform

    Milvus is an open-source vector database engineered for scale — a distributed architecture that separates storage and compute and a broad set of index types (HNSW, IVF, DiskANN, GPU) for billion-vector search. Milvus Lite runs embedded for prototyping; Zilliz Cloud is the managed option.

    Read: Best Vector Database in 2026: pgvector vs Pinecone vs Qdrant vs Weaviate vs Milvus vs Chroma vs LanceDB

  2. Pinecone

    freemiumWebPlatform

    Pinecone is a fully managed, serverless vector database: you call an API to upsert and query embeddings and never run a node, tune an index, or page yourself at 3am. It supports metadata filtering, hybrid search, and integrated embedding/reranking — the zero-ops choice when engineering time is the scarce resource.

    Read: Qdrant vs Pinecone: Which Vector Database? (2026)

    Read: Best Vector Database in 2026: pgvector vs Pinecone vs Qdrant vs Weaviate vs Milvus vs Chroma vs LanceDB

  3. Weaviate

    open sourceBSD-3-ClauseLinux, macOS, WindowsPlatform

    Weaviate is an open-source, Go-based vector database with first-class hybrid search, a module system that can vectorize your data for you, and GraphQL/REST/gRPC APIs. Batteries-included is the pitch: it can embed, store, filter, and hybrid-search out of the box, self-hosted or as a managed cloud.

    Read: Best Vector Database in 2026: pgvector vs Pinecone vs Qdrant vs Weaviate vs Milvus vs Chroma vs LanceDB

  4. Chroma

    open sourceApache-2.0Linux, macOS, WindowsSDK

    Chroma is an open-source, Python-first vector database that runs embedded in your process: pip install, create a collection, add documents, and query — often without wiring an embedding model yourself. The default for prototypes and notebooks, with a client-server mode and Chroma Cloud when you outgrow embedded.

    Read: Best Vector Database in 2026: pgvector vs Pinecone vs Qdrant vs Weaviate vs Milvus vs Chroma vs LanceDB

  5. pgvector

    open sourcePostgreSQLLinux, macOS, WindowsSDK

    pgvector turns Postgres into a vector database: it adds a vector column type, distance operators, and HNSW/IVFFlat indexes so you can run similarity search next to your relational data, with full SQL filtering and transactions — no separate vector store to operate.

    Read: Best Vector Database in 2026: pgvector vs Pinecone vs Qdrant vs Weaviate vs Milvus vs Chroma vs LanceDB

  6. turbopuffer

    paidPlatform

    turbopuffer is a serverless vector and full-text search database built from first principles on object storage (S3, GCS, Azure Blob). Vectors and BM25 indexes live durably in cheap object storage and are cached on NVMe/RAM only when queried, so storage cost stays low at very large scale while hot data still serves fast. Pricing is usage-based across storage, writes, and queries.

  7. LanceDB

    open sourceApache-2.0Linux, macOS, WindowsSDK

    LanceDB is an open-source embedded vector database built on the Lance columnar format: it runs in-process with no server, persists to local disk or object storage (S3), and stores vectors alongside raw multimodal data and metadata — bridging laptop prototype to large-scale dataset without changing systems.

    Read: Best Vector Database in 2026: pgvector vs Pinecone vs Qdrant vs Weaviate vs Milvus vs Chroma vs LanceDB