Sentry to Neon Integration
AI-first ETL from Sentry into Neon. Governed entities, incremental sync, typed landing tables.
How Datrise loads Sentry into Neon
Datrise syncs Sentry's issues, events, releases, projects, stack traces, and environments 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
Sentry: Application error tracking and release health.
Neon: Serverless Postgres destination with branching and autoscaling.
How Sentry entities map to Neon
| Sentry entity | Neon object | Notes |
|---|---|---|
| issues | sentry_issues | id PK · custom fields → jsonb columns |
| events | sentry_events | timestamptz events |
| releases | sentry_releases | id PK · linked to sentry_issues |
| projects | sentry_projects | id PK · linked to sentry_issues |
FAQ
How does Datrise handle Sentry'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 Sentry 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
More destinations for Sentry
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