DatriseAI-first ETL

Todoist to PlanetScale Integration

AI-first ETL from Todoist into PlanetScale. Governed entities, incremental sync, typed landing tables.

How Datrise loads Todoist into PlanetScale

Datrise syncs Todoist's tasks, projects, sections, labels, comments, and completed tasks 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

Todoist: Personal and team task management.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Todoist entities map to PlanetScale

Todoist entityPlanetScale objectNotes
taskstodoist_tasksid PK · custom fields → JSON columns
projectstodoist_projectsid PK · linked to todoist_tasks
sectionstodoist_sectionsid PK · linked to todoist_tasks
labelstodoist_labelsid PK · linked to todoist_tasks

FAQ

How does Datrise handle Todoist'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 Todoist 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

Early access

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