head to head · open source

lancedb vs matrixone

lancedb has 11,473 GitHub stars, 1,060 forks, 627 open issues and last shipped yesterday. matrixone has 1,888 stars, 312 forks, 745 open issues and last shipped today. lancedb leads on adoption by 508% (11,473 vs 1,888 stars). lancedb is written in Rust under Apache-2.0; matrixone is written in Go under Apache-2.0. lancedb has attracted 9% as many forks as stars, matrixone 17%. matrixone was the more recently maintained of the two, and both are self-hostable with no licence fee.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

lancedb ★ 11K matrixone ★ 1.9K category AI & Machine Learning

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Side by side

lancedb matrixone
GitHub stars ★ 11K ★ 1.9K
License Apache-2.0 Apache-2.0
Written in Rust Go
Last push 2026-09-19 2026-09-20
Forks ⑂ 1.1K ⑂ 312
Self-hosting Yes Yes
Data ownership Your server Your server

pick lancedb if

  • You weight community size — 11K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Rust
  • You value the larger contributor base for long-term maintenance

full lancedb profile →

pick matrixone if

  • You want the matrixone feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Go
  • You evaluated both and matrixone fits your workflow better

full matrixone profile →

About lancedb

LanceDB is an open source, developer friendly embedded retrieval library for multimodal AI, maintained in Rust and released under the Apache 2.0 license. It describes itself as a multimodal AI lakehouse: a single place where developers can build, train and analyze AI workloads over vectors, metadata and multimodal data such as text, images, videos and point clouds. It is built on top of the Lance columnar format, which provides the storage layer for efficient storage and analytics.

read the full lancedb overview →

About matrixone

MatrixOne is an AI native HTAP database written in Go that brings Git style version control to data and adds built in vector and full text search, built for teams shipping intelligent agents, RAG applications, and real time analytical workloads that would rather run one system than four.

read the full matrixone overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 157K Open WebUI ★ 153K langchain ★ 147K

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More Machine Learning Infrastructure projects

Compare either of these against the rest of the Machine Learning Infrastructure field.

lancedb vs Ollama lancedb vs llama.cpp lancedb vs vllm lancedb vs GPT4All lancedb vs llama_index lancedb vs LocalAI lancedb vs faiss lancedb vs PageIndex lancedb vs Langfuse lancedb vs cognee lancedb vs taipy lancedb vs dagster

Frequently asked questions

Is lancedb or matrixone more popular?

lancedb has 11,473 GitHub stars and matrixone has 1,888. lancedb has the larger community by that measure.

Are lancedb and matrixone free?

Both are open source. lancedb is licensed under Apache-2.0 and matrixone under Apache-2.0. Neither carries a licence fee.

What is the difference between lancedb and matrixone?

lancedb is written in Rust and matrixone in Go. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, lancedb or matrixone?

Choose lancedb if you want the larger community (11,473 stars) or its Apache-2.0 licence terms. Choose matrixone if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.