DatriseAI-first ETL

ForceManager Neon

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

How Datrise loads ForceManager into Neon

Datrise syncs ForceManager's contacts, accounts, deals, activities, and lifecycle events 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

ForceManager: European CRM for SMB and mid-market sales teams.

Neon: Serverless Postgres destination with branching and autoscaling.

How ForceManager entities map to Neon

ForceManager entityNeon objectNotes
contactsforcemanager_contactsid PK · custom fields → jsonb columns
accountsforcemanager_accountsid PK · linked to forcemanager_contacts
dealsforcemanager_dealsid PK · linked to forcemanager_contacts
activitiesforcemanager_activitiestimestamptz events

FAQ

How does Datrise handle ForceManager'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 ForceManager 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 ForceManager 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.