DatriseAI-first ETL

GitHub Webhook to Neon Integration

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

How Datrise loads GitHub Webhook into Neon

Datrise syncs GitHub Webhook's push events, pull requests, issues, releases, commits, and workflow runs into Neon as a typed table per source entity. 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 by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.

Ideal for serverless Postgres workloads that scale to zero between syncs.

Endpoints

GitHub Webhook: Repository event stream delivered by webhook.

Neon: Serverless Postgres destination with branching and autoscaling.

How GitHub Webhook entities map to Neon

GitHub Webhook entityNeon 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 Neon?

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 Neon types.

How does the GitHub Webhook to Neon 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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