Heroku to Yellowfin Integration
AI-first ETL from Heroku into Yellowfin. Governed entities, incremental sync, typed landing tables.
How Datrise loads Heroku into Yellowfin
Datrise syncs Heroku's apps, dynos, releases, add-ons, config vars, and build logs into Yellowfin as warehouse tables Yellowfin builds views on. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.
Ideal for dashboards with automated data storytelling.
Endpoints
Heroku: Application platform with dynos and add-ons.
Yellowfin: BI suite with dashboards, automated insights, and data storytelling.
How Heroku entities map to Yellowfin
| Heroku entity | Yellowfin object | Notes |
|---|---|---|
| apps | heroku_apps | id PK · custom fields → flattened columns |
| dynos | heroku_dynos | id PK · linked to heroku_apps |
| releases | heroku_releases | id PK · linked to heroku_apps |
| add-ons | heroku_add_ons | id PK · linked to heroku_apps |
FAQ
How does Datrise handle Heroku's custom fields in Yellowfin?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Yellowfin types.
How does the Heroku to Yellowfin sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
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Early access
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