Heroku to MySQL Integration
AI-first ETL from Heroku into MySQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads Heroku into MySQL
Datrise syncs Heroku's apps, dynos, releases, add-ons, config vars, and build logs into MySQL as a typed table per source entity. Flexible or custom fields land in JSON columns, and timestamps such as created, updated, and status changes are typed as DATETIME/TIMESTAMP.
Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Optional RANGE partitioning by load date. MySQL collation matters for CRM text, so Datrise lands utf8mb4 to preserve emoji and non-Latin characters.
Ideal for operational reporting and app databases already standardized on MySQL.
Endpoints
Heroku: Application platform with dynos and add-ons.
MySQL: Widely used OSS relational engine (InnoDB).
How Heroku entities map to MySQL
| Heroku entity | MySQL object | Notes |
|---|---|---|
| apps | heroku_apps | id PK · custom fields → JSON 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 MySQL?
Flexible values are stored as JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native MySQL types.
How does the Heroku to MySQL sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.
Related pipelines
More destinations for Heroku
Early access
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