head to head · open source

Ollama vs lancedb

Ollama has 181,290 GitHub stars, 17,939 forks, 3,957 open issues and last shipped yesterday. lancedb has 11,473 stars, 1,060 forks, 627 open issues and last shipped yesterday. Ollama leads on adoption by 1,480% (181,290 vs 11,473 stars). Ollama is written in Go under MIT; lancedb is written in Rust under Apache-2.0. Ollama has attracted 10% as many forks as stars, lancedb 9%. lancedb 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.

Ollama ★ 181K lancedb ★ 11K category AI & Machine Learning

← all 20902 open source comparisons

Side by side

Ollama lancedb
GitHub stars ★ 181K ★ 11K
License MIT Apache-2.0
Written in Go Rust
Last push 2026-09-19 2026-09-19
Forks ⑂ 18K ⑂ 1.1K
Self-hosting Yes Yes
Data ownership Your server Your server

pick Ollama if

  • You weight community size — 181K stars and counting
  • You want the MIT license terms
  • Your stack matches Go
  • You value the larger contributor base for long-term maintenance

full Ollama profile →

pick lancedb if

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

full lancedb profile →

About Ollama

Ollama is a Go based, MIT licensed runtime that downloads and runs open source large language models such as DeepSeek, Qwen, Gemma, GLM, MiniMax and gpt oss locally on a user's own machine, and it is aimed at developers and teams that want model inference without routing prompts through a hosted API.

read the full Ollama overview →

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 →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Dify ★ 157K Open WebUI ★ 153K langchain ★ 147K ponytail ★ 143K

Related comparisons

openclaw vs ollama ollama vs llama-cpp ollama vs vllm ollama vs odysseus ollama vs gpt4all ollama vs llama-index ollama vs localai open-webui vs gpt4all openclaw vs hermes-agent openclaw vs opencode openclaw vs n8n openclaw vs open-webui openclaw vs comfyui openclaw vs odysseus openclaw vs lobechat openclaw vs anythingllm openclaw vs dify openclaw vs multica openclaw vs langgraph n8n vs dify dify vs langflow dify vs open-webui dify vs langchain dify vs ponytail

More Machine Learning Infrastructure projects

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

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

Frequently asked questions

Is Ollama or lancedb more popular?

Ollama has 181,290 GitHub stars and lancedb has 11,473. Ollama has the larger community by that measure.

Are Ollama and lancedb free?

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

What is the difference between Ollama and lancedb?

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

Which should I choose, Ollama or lancedb?

Choose Ollama if you want the larger community (181,290 stars) or its MIT licence terms. Choose lancedb if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.