Sentry to PlanetScale Integration
AI-first ETL from Sentry into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Sentry into PlanetScale
Datrise syncs Sentry's issues, events, releases, projects, stack traces, and environments into PlanetScale as a typed table per source entity. Flexible or custom fields land in JSON columns, and timestamps such as created, updated, and status changes are typed as DATETIME.
Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Vitess sharding by tenant or entity key for very large tables. PlanetScale disallows foreign-key constraints by default, so Datrise models relationships by stable id columns rather than enforced FKs.
Ideal for horizontally scalable MySQL apps on Vitess.
Endpoints
Sentry: Application error tracking and release health.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Sentry entities map to PlanetScale
| Sentry entity | PlanetScale object | Notes |
|---|---|---|
| issues | sentry_issues | id PK · custom fields → JSON columns |
| events | sentry_events | DATETIME 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 PlanetScale?
Flexible values are stored as JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PlanetScale types.
How does the Sentry to PlanetScale sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.
Related pipelines
More destinations for Sentry
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