DatriseAI-first ETL

Maximizer CRM to Neon Integration

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

How Datrise loads Maximizer CRM into Neon

Datrise syncs Maximizer CRM's address book entries, opportunities, customer service cases, interactions, notes, and campaigns 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

Maximizer CRM: Long-standing CRM for address book and case tracking.

Neon: Serverless Postgres destination with branching and autoscaling.

How Maximizer CRM entities map to Neon

Maximizer CRM entityNeon objectNotes
address book entriesmaximizer_address_book_entriesid PK · custom fields → jsonb columns
opportunitiesmaximizer_opportunitiesid PK · linked to maximizer_address_book_entries
customer service casesmaximizer_customer_service_casesid PK · linked to maximizer_address_book_entries
interactionsmaximizer_interactionsid PK · linked to maximizer_address_book_entries

FAQ

How does Datrise handle Maximizer CRM'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 Maximizer CRM 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 Maximizer CRM 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.