Vector Database for Enterprise-grade AI and LLM applications
Ollama vs Zilliz
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Ollama and Zilliz (Vector Database for Enterprise-grade AI and LLM applications) both appear on the Smoower Developer Ecosystem Index.
Ollama and Zilliz sit at essentially the same overall ecosystem score (54), which is unusual and worth reading through the pillars below.
On code quality (the state of repositories, tests, releases and polish), Zilliz is slightly ahead of Ollama. On education (docs, guides and learning material for developers), Zilliz is slightly ahead of Ollama. On community (issue response, PR reviews and discussion health), Zilliz is slightly ahead of Ollama. On reach (how visible the ecosystem is beyond its own repos), Ollama is clearly ahead of Zilliz. On momentum (release cadence and how fast the ecosystem moves), Ollama is slightly ahead of Zilliz.
Ollama carries 190,304 GitHub stars across 4 public repos, with 3 repositories active in the last 90 days and 241 external contributors on record. Zilliz shows 37,860 stars across 71 public repos, 29 active in the last 90 days and 105 external contributors. The star gap on its own does not decide the comparison, but Ollama's footprint is roughly 5.0x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Ollama is the stronger read for anyone weighting reach. Zilliz looks better where education is the deciding factor. The table below breaks the scores down pillar by pillar; the linked profiles cover the underlying repos, docs and community signals in full.
Side-by-side metrics
| Metric | Ollama | Zilliz |
|---|---|---|
| Ranking | ||
| Overall rank | #122 | #122 |
| Pillars | ||
| Overall | 54 | 54 |
| Code | 62 | 67 |
| Education | 75 | 83 |
| Community | 46 | 51 |
| Reach | 56 | 29 |
| Momentum | 56 | 50 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 190,304 | 37,860 |
| Forks | 18,456 | 3,995 |
| Public repos | 4 | 71 |
| Active repos (90d) | 3 | 29 |
| External contributors | 241 | 105 |
| Avg polish | 60 | 64 |
| Avg AI-readiness | 54 | 59 |