DatriseAI-first ETL

Genesys Supabase

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

How Datrise loads Genesys into Supabase

Datrise syncs Genesys'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

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

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

How Genesys entities map to Supabase

Genesys entitySupabase objectNotes
recordsgenesys_recordsid PK · custom fields → jsonb columns
eventsgenesys_eventstimestamptz events
configuration objectsgenesys_configuration_objectsid PK · linked to genesys_records

FAQ

How does Datrise handle Genesys'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 Genesys 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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