DatriseAI-first ETL

Mambu Supabase

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

How Datrise loads Mambu into Supabase

Datrise syncs Mambu'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

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

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

How Mambu entities map to Supabase

Mambu entitySupabase objectNotes
recordsmambu_recordsid PK · custom fields → jsonb columns
eventsmambu_eventstimestamptz events
configuration objectsmambu_configuration_objectsid PK · linked to mambu_records

FAQ

How does Datrise handle Mambu'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 Mambu 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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