DatriseAI-first ETL

GitHub Webhook to Supabase Integration

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

How Datrise loads GitHub Webhook into Supabase

Datrise syncs GitHub Webhook's push events, pull requests, issues, releases, commits, and workflow runs 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

GitHub Webhook: Repository event stream delivered by webhook.

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

How GitHub Webhook entities map to Supabase

GitHub Webhook entitySupabase objectNotes
push eventsgithub_webhook_push_eventstimestamptz events
pull requestsgithub_webhook_pull_requestsid PK · linked to github_webhook_push_events
issuesgithub_webhook_issuesid PK · linked to github_webhook_push_events
releasesgithub_webhook_releasesid PK · linked to github_webhook_push_events

FAQ

How does Datrise handle GitHub Webhook'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 GitHub Webhook 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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