Heroku to Holistics Integration
AI-first ETL from Heroku into Holistics. Governed entities, incremental sync, typed landing tables.
How Datrise loads Heroku into Holistics
Datrise syncs Heroku's apps, dynos, releases, add-ons, config vars, and build logs into Holistics as warehouse tables modeled in Holistics. Flexible or custom fields land in flattened columns for the modeling layer, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.
Ideal for as-code BI modeling on a warehouse.
Endpoints
Heroku: Application platform with dynos and add-ons.
Holistics: Self-service BI with modeling layers and scheduled report delivery.
How Heroku entities map to Holistics
| Heroku entity | Holistics object | Notes |
|---|---|---|
| apps | heroku_apps | id PK · custom fields → flattened columns for the modeling layer |
| 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 Holistics?
Flexible values are stored as flattened columns for the modeling layer, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Holistics types.
How does the Heroku to Holistics sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the modeled tables.
Related pipelines
More destinations for Heroku
Early access
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