DatriseAI-first ETL

Sage CRM to Neon Integration

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

How Datrise loads Sage CRM into Neon

Datrise syncs Sage CRM's persons, companies, opportunities, cases, communications, and leads 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

Sage CRM: CRM tied to Sage accounting for mid-market operations.

Neon: Serverless Postgres destination with branching and autoscaling.

How Sage CRM entities map to Neon

Sage CRM entityNeon objectNotes
personssage_crm_personsid PK · custom fields → jsonb columns
companiessage_crm_companiesid PK · linked to sage_crm_persons
opportunitiessage_crm_opportunitiesid PK · linked to sage_crm_persons
casessage_crm_casesid PK · linked to sage_crm_persons

FAQ

How does Datrise handle Sage 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 Sage 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

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