Weaviate creates database software like the Weaviate vector search engine
Vector Database for Enterprise-grade AI and LLM applications
Weaviate vs Zilliz
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Weaviate (Weaviate creates database software like the Weaviate vector search engine) and Zilliz (Vector Database for Enterprise-grade AI and LLM applications) both appear on the Smoower Developer Ecosystem Index.
Zilliz (rank #122) holds a narrow lead over Weaviate (rank #152) on the overall Smoower ecosystem score (54 vs 52). The gap of 2 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Zilliz is ahead of Weaviate. On education (docs, guides and learning material for developers), Weaviate is slightly ahead of Zilliz. On community (issue response, PR reviews and discussion health), Zilliz is slightly ahead of Weaviate. On reach (how visible the ecosystem is beyond its own repos), Weaviate is ahead of Zilliz. On momentum (release cadence and how fast the ecosystem moves), Weaviate is ahead of Zilliz.
Weaviate carries 30,251 GitHub stars across 140 public repos, with 32 repositories active in the last 90 days and 51 external contributors on record. Zilliz shows 37,860 stars across 71 public repos, 29 active in the last 90 days and 105 external contributors.
Weaviate is the stronger read for anyone weighting momentum. Zilliz looks better where code quality 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 | Weaviate | Zilliz |
|---|---|---|
| Ranking | ||
| Overall rank | #152 | #122 |
| Pillars | ||
| Overall | 52 | 54 |
| Code | 52 | 67 |
| Education | 84 | 83 |
| Community | 48 | 51 |
| Reach | 41 | 29 |
| Momentum | 68 | 50 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 30,251 | 37,860 |
| Forks | 3,646 | 3,995 |
| Public repos | 140 | 71 |
| Active repos (90d) | 32 | 29 |
| External contributors | 51 | 105 |
| Avg polish | 58 | 64 |
| Avg AI-readiness | 34 | 59 |