DatriseAI-first ETL

ClickUp Supabase

AI-first ETL from ClickUp into Supabase. Governed entities, incremental sync, typed landing tables.

How Datrise loads ClickUp into Supabase

Datrise syncs ClickUp's tasks, custom fields, statuses, docs, and workspace execution data into Supabase as a typed table per source entity in your Supabase Postgres. 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 for high-volume tables. Datrise lands into a dedicated schema and leaves row-level security to you, so synced tables don't inherit public access by accident.

Ideal for app builders who want CRM data alongside their Supabase product data.

Endpoints

ClickUp: Work management platform for tasks, docs, and operations.

Supabase: Postgres platform with auth, storage, and realtime APIs.

How ClickUp entities map to Supabase

ClickUp entitySupabase objectNotes
tasksclickup_tasksid PK · custom fields → jsonb columns
custom fieldsclickup_custom_fieldsid PK · linked to clickup_tasks
statusesclickup_statusestimestamptz events
docsclickup_docsid PK · linked to clickup_tasks

FAQ

How does Datrise handle ClickUp's custom fields in Supabase?

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 Supabase types.

How does the ClickUp to Supabase sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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