DatriseAI-first ETL

Close Io Supabase

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

How Datrise loads Close Io into Supabase

Datrise syncs Close Io'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

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

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

How Close Io entities map to Supabase

Close Io entitySupabase objectNotes
recordsclose_io_recordsid PK · custom fields → jsonb columns
eventsclose_io_eventstimestamptz events
configuration objectsclose_io_configuration_objectsid PK · linked to close_io_records

FAQ

How does Datrise handle Close Io'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 Close Io 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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