Developer ecosystem comparison
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Fivetran vs Workato

Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.

Fivetran and Workato (The Enterprise Automation Platform for powerful integrations and automations) both appear on the Smoower Developer Ecosystem Index.

Fivetran (rank #338) holds a modest lead over Workato (rank #625) on the overall Smoower ecosystem score (43 vs 33). The gap of 10 points reflects composite signals across code, docs, community and reach.

On code quality (the state of repositories, tests, releases and polish), Fivetran is clearly ahead of Workato. On education (docs, guides and learning material for developers), Workato is clearly ahead of Fivetran. On community (issue response, PR reviews and discussion health), Fivetran is clearly ahead of Workato. On reach (how visible the ecosystem is beyond its own repos), Workato is ahead of Fivetran. On momentum (release cadence and how fast the ecosystem moves), Fivetran is clearly ahead of Workato.

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. Workato shows 112 stars across 67 public repos, 2 active in the last 90 days and 1 external contributors. The star gap on its own does not decide the comparison, but Fivetran's footprint is roughly 119.9x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

Fivetran is the stronger read for anyone weighting momentum. Workato 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

MetricFivetranWorkato
Ranking
Overall rank#338#625
Pillars
Overall4333
Code5736
Education4673
Community4613
Reach3951
Momentum544
Builder experience00
Signals
Stars13,433112
Forks2,907121
Public repos31467
Active repos (90d)842
External contributors401
Avg polish6629
Avg AI-readiness4133

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