DatriseAI-first ETL

Aha to Supabase Integration

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

How Datrise loads Aha into Supabase

Datrise syncs Aha's features, releases, initiatives, ideas, goals, and epics 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

Aha: Product roadmapping and release planning.

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

How Aha entities map to Supabase

Aha entitySupabase objectNotes
featuresaha_featuresid PK · custom fields → jsonb columns
releasesaha_releasesid PK · linked to aha_features
initiativesaha_initiativesid PK · linked to aha_features
ideasaha_ideasid PK · linked to aha_features

FAQ

How does Datrise handle Aha'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 Aha 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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