DatriseAI-first ETL

SUMA CRM to Neon Integration

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

How Datrise loads SUMA CRM into Neon

Datrise syncs SUMA CRM's contacts, companies, deals, tasks, notes, and pipeline stages 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

SUMA CRM: Simple Spanish CRM for small sales teams.

Neon: Serverless Postgres destination with branching and autoscaling.

How SUMA CRM entities map to Neon

SUMA CRM entityNeon objectNotes
contactssumacrm_contactsid PK · custom fields → jsonb columns
companiessumacrm_companiesid PK · linked to sumacrm_contacts
dealssumacrm_dealsid PK · linked to sumacrm_contacts
taskssumacrm_tasksid PK · linked to sumacrm_contacts

FAQ

How does Datrise handle SUMA 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 SUMA 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

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