head to head · open source

Ollama vs paradedb

Ollama has 181,161 GitHub stars, 17,917 forks, 3,957 open issues and last shipped yesterday. paradedb has 9,276 stars, 457 forks, 193 open issues and last shipped yesterday. Ollama leads on adoption by 1,853% (181,161 vs 9,276 stars). Ollama is written in Go under MIT; paradedb is written in Rust under AGPL-3.0. Ollama has attracted 10% as many forks as stars, paradedb 5%. paradedb 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 paradedb ★ 9.3K category AI & Machine Learning

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Side by side

Ollama paradedb
GitHub stars ★ 181K ★ 9.3K
License MIT AGPL-3.0
Written in Go Rust
Last push 2026-09-17 2026-09-17
Forks ⑂ 18K ⑂ 457
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 paradedb if

  • You want the paradedb feature set and don't need the biggest community
  • You prefer the AGPL-3.0 license terms
  • Your stack matches Rust
  • You evaluated both and paradedb fits your workflow better

full paradedb 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 paradedb

ParadeDB is an AGPL 3.0 PostgreSQL extension, written in Rust and distributed from the paradedb repository, that upgrades Postgres with full text search, BM25 scoring, vector retrieval, and aggregations so application data and the search engine live in one database — intended for teams that would otherwise deploy and sync a separate search system.

read the full paradedb overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 246K Dify ★ 156K Open WebUI ★ 152K langchain ★ 147K ponytail ★ 141K

Related comparisons

ollama vs llama-cpp ollama vs vllm ollama vs gpt4all ollama vs llama-index ollama vs localai ollama vs pageindex ollama vs langfuse llama-cpp vs vllm openclaw vs hermes-agent openclaw vs open-webui openclaw vs lobechat openclaw vs anythingllm openclaw vs cherry-studio openclaw vs nanobot openclaw vs jan openclaw vs librechat dify vs langchain dify vs ponytail langchain vs ponytail dify vs graphify langchain vs graphify ponytail vs graphify dify vs claude-mem dify vs ragflow

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 PageIndex Ollama vs Langfuse Ollama vs cognee Ollama vs taipy Ollama vs dagster Ollama vs zvec Ollama vs langchain4j

Frequently asked questions

Is Ollama or paradedb more popular?

Ollama has 181,161 GitHub stars and paradedb has 9,276. Ollama has the larger community by that measure.

Are Ollama and paradedb free?

Both are open source. Ollama is licensed under MIT and paradedb under AGPL-3.0. Neither carries a licence fee.

What is the difference between Ollama and paradedb?

Ollama is written in Go and paradedb 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 paradedb?

Choose Ollama if you want the larger community (181,161 stars) or its MIT licence terms. Choose paradedb if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.