Top Producer to Neon Integration

How Datrise loads Top Producer into Neon

Datrise syncs Top Producer's contacts, leads, listings, transactions, follow-up plans, and market snapshots 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

Top Producer: Real estate contact management and transaction follow-up.

Neon: Serverless Postgres destination with branching and autoscaling.

How Top Producer entities map to Neon

Top Producer entity	Neon object	Notes
contacts	`top_producer_contacts`	id PK · custom fields → jsonb columns
leads	`top_producer_leads`	id PK · linked to top_producer_contacts
listings	`top_producer_listings`	id PK · linked to top_producer_contacts
transactions	`top_producer_transactions`	id PK · linked to top_producer_contacts

FAQ

How does Datrise handle Top Producer'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 Top Producer 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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