DatriseAI-first ETL

Holded Neon

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

How Datrise loads Holded into Neon

Datrise syncs Holded'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

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

Neon: Serverless Postgres destination with branching and autoscaling.

How Holded entities map to Neon

Holded entityNeon objectNotes
contactsholded_contactsid PK · custom fields → jsonb columns
accountsholded_accountsid PK · linked to holded_contacts
dealsholded_dealsid PK · linked to holded_contacts
activitiesholded_activitiestimestamptz events

FAQ

How does Datrise handle Holded'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 Holded 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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