DatriseAI-first ETL

JSON File to Supabase Integration

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

How Datrise loads JSON File into Supabase

Datrise syncs JSON File's documents, nested objects, arrays, keys, file batches, and schemas 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

JSON File: Structured JSON documents from exports and drops.

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

How JSON File entities map to Supabase

JSON File entitySupabase objectNotes
documentsjson_file_documentsid PK · custom fields → jsonb columns
nested objectsjson_file_nested_objectsid PK · linked to json_file_documents
arraysjson_file_arraysid PK · linked to json_file_documents
keysjson_file_keysid PK · linked to json_file_documents

FAQ

How does Datrise handle JSON File'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 JSON File 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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