Heroku to Neon Integration
AI-first ETL from Heroku into Neon. Governed entities, incremental sync, typed landing tables.
How Datrise loads Heroku into Neon
Datrise syncs Heroku's apps, dynos, releases, add-ons, config vars, and build logs into Neon as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.
Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.
Ideal for serverless Postgres workloads that scale to zero between syncs.
Endpoints
Heroku: Application platform with dynos and add-ons.
Neon: Serverless Postgres destination with branching and autoscaling.
How Heroku entities map to Neon
| Heroku entity | Neon object | Notes |
|---|---|---|
| apps | heroku_apps | id PK · custom fields → jsonb 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 Neon?
Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Neon types.
How does the Heroku to Neon sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.
Related pipelines
More destinations for Heroku
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