DatriseAI-first ETL

Impartner to Neon Integration

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

How Datrise loads Impartner into Neon

Datrise syncs Impartner's partners, deal registrations, opportunities, tiers, MDF requests, and partner contacts 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

Impartner: Channel management for partner tiers and co-sell.

Neon: Serverless Postgres destination with branching and autoscaling.

How Impartner entities map to Neon

Impartner entityNeon objectNotes
partnersimpartner_partnersid PK · custom fields → jsonb columns
deal registrationsimpartner_deal_registrationsid PK · linked to impartner_partners
opportunitiesimpartner_opportunitiesid PK · linked to impartner_partners
tiersimpartner_tiersid PK · linked to impartner_partners

FAQ

How does Datrise handle Impartner'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 Impartner 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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