DatriseAI-first ETL

PipeRun to Supabase Integration

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

How Datrise loads PipeRun into Supabase

Datrise syncs PipeRun's deals, contacts, companies, pipeline stages, activities, and sales teams 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

PipeRun: Sales pipeline management for Brazilian revenue teams.

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

How PipeRun entities map to Supabase

PipeRun entitySupabase objectNotes
dealspiperun_dealsid PK · custom fields → jsonb columns
contactspiperun_contactsid PK · linked to piperun_deals
companiespiperun_companiesid PK · linked to piperun_deals
pipeline stagespiperun_pipeline_stagesid PK · linked to piperun_deals

FAQ

How does Datrise handle PipeRun'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 PipeRun 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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