DatriseAI-first ETL

Agendor Neon

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

How Datrise loads Agendor into Neon

Datrise syncs Agendor'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

Agendor: CRM widely used in Latin America for sales pipeline and customer ops.

Neon: Serverless Postgres destination with branching and autoscaling.

How Agendor entities map to Neon

Agendor entityNeon objectNotes
contactsagendor_contactsid PK · custom fields → jsonb columns
accountsagendor_accountsid PK · linked to agendor_contacts
dealsagendor_dealsid PK · linked to agendor_contacts
activitiesagendor_activitiestimestamptz events

FAQ

How does Datrise handle Agendor'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 Agendor 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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