DatriseAI-first ETL

Practifi to Neon Integration

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

How Datrise loads Practifi into Neon

Datrise syncs Practifi's clients, households, entities, service requests, opportunities, and review meetings into Neon as a typed table per source entity. 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 by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.

Ideal for serverless Postgres workloads that scale to zero between syncs.

Endpoints

Practifi: Salesforce-based platform for advisory firm operations.

Neon: Serverless Postgres destination with branching and autoscaling.

How Practifi entities map to Neon

Practifi entityNeon 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 Neon?

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 Neon types.

How does the Practifi to Neon sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

Early access

Connect Practifi to Neon the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.