DatriseAI-first ETL

MongoDB Supabase

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

How Datrise loads MongoDB into Supabase

Datrise syncs MongoDB's collections, documents, change streams, and schema snapshots 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

MongoDB: Document database often used as an operational source for analytics.

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

How MongoDB entities map to Supabase

MongoDB entitySupabase objectNotes
collectionsmongodb_collectionsid PK · custom fields → jsonb columns
documentsmongodb_documentsid PK · linked to mongodb_collections
change streamsmongodb_change_streamstimestamptz events
schema snapshotsmongodb_schema_snapshotsid PK · linked to mongodb_collections

FAQ

How does Datrise handle MongoDB'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 MongoDB 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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