DatriseAI-first ETL

Pivotal Tracker to Supabase Integration

AI-first ETL from Pivotal Tracker into Supabase. Governed entities, incremental sync, typed landing tables.

How Datrise loads Pivotal Tracker into Supabase

Datrise syncs Pivotal Tracker's stories, projects, iterations, epics, tasks, and story transitions into Supabase as a typed table per source entity in your Supabase Postgres. 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 for high-volume tables. Datrise lands into a dedicated schema and leaves row-level security to you, so synced tables don't inherit public access by accident.

Ideal for app builders who want CRM data alongside their Supabase product data.

Endpoints

Pivotal Tracker: Agile story tracking and iteration planning.

Supabase: Postgres platform with auth, storage, and realtime APIs.

How Pivotal Tracker entities map to Supabase

Pivotal Tracker entitySupabase objectNotes
storiespivotal_tracker_storiesid PK · custom fields → jsonb columns
projectspivotal_tracker_projectsid PK · linked to pivotal_tracker_stories
iterationspivotal_tracker_iterationsid PK · linked to pivotal_tracker_stories
epicspivotal_tracker_epicsid PK · linked to pivotal_tracker_stories

FAQ

How does Datrise handle Pivotal Tracker's custom fields in Supabase?

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 Supabase types.

How does the Pivotal Tracker to Supabase sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

Early access

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