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LanceDB

LanceDB is an Apache 2.0 open source embedded vector database that runs inside your application on the Lance columnar format, storing tables on local disk or object storage, with IVF and IVF-HNSW indexes, BM25 full-text and hybrid search; its commercial LanceDB Enterprise is sold as Managed or BYOC by quote.

Freemium Research-based review
Last verified November 2026. Features and pricing for commercial products change; check the vendor site for the latest details.
Product status: As of November 2026 LanceDB's documentation lists two offerings, LanceDB Embedded (open source) and LanceDB Enterprise; the separate self-serve LanceDB Cloud service described in earlier docs is no longer documented (its docs page returns 404). No official retirement announcement was found.
Vendor
LanceDB
Price
Freemium
Platforms
Python, TypeScript/Node.js, Rust, Local disk or object storage, AWS, Google Cloud, Azure (Enterprise)
Licence
Apache License 2.0 (LanceDB OSS and the Lance format); LanceDB Enterprise is commercial
Product type
Open source embedded library (Apache 2.0) plus Enterprise
Official site
lancedb.com
Works with
Python applicationsTypeScript and Node.js applicationsRust applicationsLocal diskObject storageLance columnar format

At a glance

Product typeEmbedded open source library (no server); LanceDB Enterprise for managed or BYOC deployments
Vector index typesIVF_FLAT, IVF_PQ, IVF_RQ, IVF_SQ, IVF_HNSW_SQ, IVF_HNSW_FLAT, IVF_HNSW_PQ
Hybrid searchYes: vector plus BM25 full-text, fused with RRF (default) or other rerankers
Metadata filteringYes: filters and SQL, with BTREE, BITMAP and LABEL_LIST scalar indexes
Embedding integrationEmbedding registry (OpenAI, Sentence Transformers, Cohere and others)
Scaling and multitenancyScales with object storage in embedded mode; distributed serving in Enterprise; multitenancy not documented
Deployment (managed or self-hosted)In-process library, or Enterprise as Managed, BYOC or custom
Licensing and pricing modelApache 2.0 free; Enterprise by quote; no self-serve cloud plan documented
Short answer

LanceDB fits teams that want vector search without running a database server: the library runs in-process and keeps data in Lance files on disk or object storage, which also suits multimodal and training data. Open source use is free; for a managed or distributed deployment you need LanceDB Enterprise, which is quote-only, since no self-serve cloud plan is currently documented.

How we know: This profile is research-based: licence, offerings, index types, full-text and hybrid search, embedding functions and rerankers were checked on 7 November 2026 against LanceDB's official documentation (docs.lancedb.com overview, indexing, hybrid search, embedding and Enterprise pages), its website and the lancedb/lancedb GitHub repository. We have not run LanceDB or measured its performance.

Overview

LanceDB is an open source retrieval library that runs inside your application process, so there is no separate database server to deploy; the documentation calls this LanceDB Embedded. It is built on Lance, an open columnar data format, and stores tables on local disk or in object storage. SDKs are available for Python, TypeScript and Rust, with a REST API for Enterprise. Beyond vector search it supports full-text search, hybrid search, reranking, filtering and SQL over the same tables, which is why LanceDB now positions itself as a multimodal lakehouse for AI data.

The vector indexes are IVF-based: IVF_FLAT, IVF_PQ, IVF_RQ and IVF_SQ, plus IVF_HNSW_SQ, IVF_HNSW_FLAT and IVF_HNSW_PQ, which combine IVF partitions with HNSW graphs; scalar indexes (BTREE, BITMAP, LABEL_LIST) speed up filters. An embedding registry can embed data automatically at insert and query time, and hybrid search fuses vector and BM25 results with RRF by default or another reranker. LanceDB Enterprise is the distributed, managed option, deployed as Managed, BYOC or custom on AWS, Google Cloud and Azure.

Key features

  • Embedded, in-process operation with no database server, on Python, TypeScript and Rust
  • Tables stored in the open Lance columnar format on local disk or object storage
  • IVF_FLAT, IVF_PQ, IVF_RQ, IVF_SQ and IVF_HNSW (SQ, FLAT, PQ) vector indexes, plus BTREE, BITMAP and LABEL_LIST scalar indexes
  • BM25 full-text search index and hybrid search with RRF, linear combination or model-based rerankers
  • Embedding registry with providers such as OpenAI, Sentence Transformers and Cohere that embeds data at insert time
  • SQL and filtering over the same tables used for vector search
  • LanceDB Enterprise: distributed deployment as Managed, BYOC or custom on AWS, Google Cloud and Azure

Integrations and ecosystem

OpenAI, Sentence Transformers and Cohere (embedding registry)Cohere and cross-encoder rerankersObject storageLance formatAWS, Google Cloud and Azure (Enterprise)

Pros and cons

Pros

  • No server to run: the library and its data files live with your application
  • Open Lance columnar format on local disk or object storage, usable for analytics and training data as well as search
  • Hybrid search, full-text search and SQL over the same tables
  • Apache 2.0 licence for the library and the format

Cons

  • No published self-serve cloud plan or free tier; managed use means a LanceDB Enterprise contract
  • Some indexes (IVF_SQ, IVF_HNSW_FLAT, IVF_HNSW_PQ) are built only by the embedded library, not by Enterprise deployments
  • Provider-specific rerankers are Python-only; TypeScript and Rust get RRF and a generic interface
  • Multitenancy features are not documented for the embedded library

Pricing

LanceDB Embedded (open source) is free under Apache 2.0. LanceDB Enterprise is sold by contacting LanceDB, as a Managed deployment run by LanceDB, a BYOC deployment in your own AWS, Google Cloud or Azure account, or a custom deployment; no list prices are published. No self-serve LanceDB Cloud plan, free tier or published usage rate was found on the official site or docs on 7 November 2026: the former LanceDB Cloud documentation page returns 404 and the current docs describe only Embedded and Enterprise.

Pricing checked on the vendor's official page on 7 November 2026. Prices change; confirm before buying.

Who it is best for

Python, TypeScript or Rust applications and data pipelines that want embedded vector and hybrid search over data kept in an open columnar format, without operating a database server.

Typical use cases

  • Embedded RAG retrieval inside a desktop, edge or server application
  • Multimodal datasets (images, video, text) stored and searched in Lance format on object storage
  • Hybrid keyword and vector search in data pipelines and notebooks
  • Feature engineering and training data curation alongside vector search

Who should look elsewhere

  • Teams that want a self-serve managed vector service with published prices: compare Pinecone, Zilliz Cloud or Qdrant Cloud.
  • Many independent services that need a shared network database with per-tenant isolation, where a server such as Weaviate fits better.

Verdict

Our take

LanceDB is the clearest embedded option in this group: an in-process library on an open columnar format, with IVF and IVF-HNSW indexes, hybrid search and SQL. It is free to use, but buyers who want a managed service should note that only LanceDB Enterprise, sold by quote, is currently documented.

Frequently asked questions

Is LanceDB a database server?

Not in its open source form. LanceDB Embedded runs inside your application process and reads and writes Lance files on local disk or object storage. LanceDB Enterprise adds a distributed, managed deployment.

Is LanceDB Cloud still available?

As of 7 November 2026 the LanceDB documentation lists only LanceDB Embedded and LanceDB Enterprise (Managed, BYOC or custom), and the former LanceDB Cloud docs page returns 404. We found no official retirement notice, so ask LanceDB directly if you need a hosted plan.

Which index types does LanceDB support?

Vector indexes IVF_FLAT, IVF_PQ, IVF_RQ, IVF_SQ, IVF_HNSW_SQ, IVF_HNSW_FLAT and IVF_HNSW_PQ, scalar indexes BTREE, BITMAP and LABEL_LIST, and an FTS index with BM25 ranking.

How much does LanceDB cost?

The open source library is free under Apache 2.0. LanceDB Enterprise is priced by contacting LanceDB; no list prices are published.

Sources

Checked November 2026.

Listed in: Vector Databases & AI Search.

How we research reviews and what star ratings mean: our editorial method.

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