DatriseAI-first ETL

Vero Supabase

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

How Datrise loads Vero into Supabase

Datrise syncs Vero'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

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

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

How Vero entities map to Supabase

Vero entitySupabase objectNotes
recordsvero_recordsid PK · custom fields → jsonb columns
eventsvero_eventstimestamptz events
configuration objectsvero_configuration_objectsid PK · linked to vero_records

FAQ

How does Datrise handle Vero'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 Vero 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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