DatriseAI-first ETL

Sentry to Supabase Integration

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

How Datrise loads Sentry into Supabase

Datrise syncs Sentry's issues, events, releases, projects, stack traces, and environments 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

Sentry: Application error tracking and release health.

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

How Sentry entities map to Supabase

Sentry entitySupabase objectNotes
issuessentry_issuesid PK · custom fields → jsonb columns
eventssentry_eventstimestamptz events
releasessentry_releasesid PK · linked to sentry_issues
projectssentry_projectsid PK · linked to sentry_issues

FAQ

How does Datrise handle Sentry'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 Sentry 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

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