DatriseAI-first ETL

Heroku to Spreadsheets Integration

AI-first ETL from Heroku into Spreadsheets. Governed entities, incremental sync, typed landing tables.

How Datrise loads Heroku into Spreadsheets

Datrise syncs Heroku's apps, dynos, releases, add-ons, config vars, and build logs into Spreadsheets as a tab per source entity. Flexible or custom fields land in JSON-stringified cells for nested fields, and timestamps such as created, updated, and status changes are typed as ISO-8601 text or serial date cells.

Sync is incremental: Datrise uses refreshes the tab's rows each run, preserving header order, so re-runs update only what changed. Sheets caps out around the low millions of cells, so Datrise lands a curated column set rather than every raw field.

Ideal for lightweight, shareable reporting for non-technical teams.

Endpoints

Heroku: Application platform with dynos and add-ons.

Spreadsheets: Business-friendly spreadsheet destination for collaborative analysis.

How Heroku entities map to Spreadsheets

Heroku entitySpreadsheets objectNotes
appsheroku_appsid PK · custom fields → JSON-stringified cells for nested fields
dynosheroku_dynosid PK · linked to heroku_apps
releasesheroku_releasesid PK · linked to heroku_apps
add-onsheroku_add_onsid PK · linked to heroku_apps

FAQ

How does Datrise handle Heroku's custom fields in Spreadsheets?

Flexible values are stored as JSON-stringified cells for nested fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Spreadsheets types.

How does the Heroku to Spreadsheets sync stay up to date?

It runs incrementally — Datrise uses refreshes the tab's rows each run, preserving header order.

Related pipelines

Early access

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