GitHub → Neon
AI-first ETL from GitHub into Neon. Governed entities, incremental sync, typed landing tables.
How Datrise loads GitHub into Neon
Datrise syncs GitHub's repositories, issues, pull requests, 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: Developer platform for repos, issues, and delivery workflows.
Neon: Serverless Postgres destination with branching and autoscaling.
How GitHub entities map to Neon
| GitHub entity | Neon object | Notes |
|---|---|---|
| repositories | github_repositories | id PK · custom fields → jsonb columns |
| issues | github_issues | id PK · linked to github_repositories |
| pull requests | github_pull_requests | id PK · linked to github_repositories |
| commits | github_commits | id PK · linked to github_repositories |
FAQ
How does Datrise handle GitHub'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 to Neon sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.
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Early access
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