DatriseAI-first ETL

Practifi to Supabase Integration

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

How Datrise loads Practifi into Supabase

Datrise syncs Practifi's clients, households, entities, service requests, opportunities, and review meetings 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

Practifi: Salesforce-based platform for advisory firm operations.

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

How Practifi entities map to Supabase

Practifi entitySupabase objectNotes
clientspractifi_clientsid PK · custom fields → jsonb columns
householdspractifi_householdsid PK · linked to practifi_clients
entitiespractifi_entitiesid PK · linked to practifi_clients
service requestspractifi_service_requestsid PK · linked to practifi_clients

FAQ

How does Datrise handle Practifi'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 Practifi 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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