DatriseAI-first ETL

Pocket Supabase

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

How Datrise loads Pocket into Supabase

Datrise syncs Pocket's records, events, and configuration objects 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

Pocket: SaaS or API data source for analytics and warehouse sync.

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

How Pocket entities map to Supabase

Pocket entitySupabase objectNotes
recordspocket_recordsid PK · custom fields → jsonb columns
eventspocket_eventstimestamptz events
configuration objectspocket_configuration_objectsid PK · linked to pocket_records

FAQ

How does Datrise handle Pocket'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 Pocket 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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