DatriseAI-first ETL

Agendor to Neon Integration

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

How Datrise loads Agendor into Neon

Datrise syncs Agendor's organizations, people, deals, funnel stages, activities, and proposals 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: Brazilian sales CRM for pipeline and account follow-up.

Neon: Serverless Postgres destination with branching and autoscaling.

How Agendor entities map to Neon

Agendor entityNeon objectNotes
organizationsagendor_organizationsid PK · custom fields → jsonb columns
peopleagendor_peopleid PK · linked to agendor_organizations
dealsagendor_dealsid PK · linked to agendor_organizations
funnel stagesagendor_funnel_stagesid PK · linked to agendor_organizations

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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