ClickUp → PlanetScale
AI-first ETL from ClickUp into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads ClickUp into PlanetScale
Datrise syncs ClickUp's tasks, custom fields, statuses, docs, and workspace execution data 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
ClickUp: Work management platform for tasks, docs, and operations.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How ClickUp entities map to PlanetScale
| ClickUp entity | PlanetScale object | Notes |
|---|---|---|
| tasks | clickup_tasks | id PK · custom fields → JSON columns |
| custom fields | clickup_custom_fields | id PK · linked to clickup_tasks |
| statuses | clickup_statuses | DATETIME events |
| docs | clickup_docs | id PK · linked to clickup_tasks |
FAQ
How does Datrise handle ClickUp'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 ClickUp 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 ClickUp
More sources for PlanetScale
Early access
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