Fivetran vs Metabase
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Fivetran and Metabase both appear on the Smoower Developer Ecosystem Index.
Metabase (rank #165) holds a narrow lead over Fivetran (rank #338) on the overall Smoower ecosystem score (51 vs 43). The gap of 8 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Fivetran is slightly ahead of Metabase. On education (docs, guides and learning material for developers), Metabase is clearly ahead of Fivetran. On community (issue response, PR reviews and discussion health), Fivetran is slightly ahead of Metabase. On reach (how visible the ecosystem is beyond its own repos), Metabase is slightly ahead of Fivetran. On momentum (release cadence and how fast the ecosystem moves), Metabase is slightly ahead of Fivetran.
Fivetran carries 13,433 GitHub stars across 314 public repos, with 84 repositories active in the last 90 days and 40 external contributors on record. Metabase shows 50,225 stars across 100 public repos, 21 active in the last 90 days and 49 external contributors. The star gap on its own does not decide the comparison, but Metabase's footprint is roughly 3.7x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Fivetran is the stronger read for anyone weighting code quality. Metabase 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 | Fivetran | Metabase |
|---|---|---|
| Ranking | ||
| Overall rank | #338 | #165 |
| Pillars | ||
| Overall | 43 | 51 |
| Code | 57 | 49 |
| Education | 46 | 80 |
| Community | 46 | 39 |
| Reach | 39 | 41 |
| Momentum | 54 | 61 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 13,433 | 50,225 |
| Forks | 2,907 | 7,167 |
| Public repos | 314 | 100 |
| Active repos (90d) | 84 | 21 |
| External contributors | 40 | 49 |
| Avg polish | 66 | 50 |
| Avg AI-readiness | 41 | 30 |