Wrike to PlanetScale Integration
AI-first ETL from Wrike into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Wrike into PlanetScale
Datrise syncs Wrike's tasks, folders, projects, timelogs, custom fields, and task statuses 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
Wrike: Project and task management with custom workflows.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Wrike entities map to PlanetScale
| Wrike entity | PlanetScale object | Notes |
|---|---|---|
| tasks | wrike_tasks | id PK · custom fields → JSON columns |
| folders | wrike_folders | id PK · linked to wrike_tasks |
| projects | wrike_projects | id PK · linked to wrike_tasks |
| timelogs | wrike_timelogs | id PK · linked to wrike_tasks |
FAQ
How does Datrise handle Wrike'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 Wrike to PlanetScale sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.
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Early access
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