DatriseAI-first ETL

Megaplan to Neon Integration

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

How Datrise loads Megaplan into Neon

Datrise syncs Megaplan's deals, contractors, contacts, tasks, projects, and invoices 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

Megaplan: CRM and task management for CIS sales and service teams.

Neon: Serverless Postgres destination with branching and autoscaling.

How Megaplan entities map to Neon

Megaplan entityNeon objectNotes
dealsmegaplan_dealsid PK · custom fields → jsonb columns
contractorsmegaplan_contractorsid PK · linked to megaplan_deals
contactsmegaplan_contactsid PK · linked to megaplan_deals
tasksmegaplan_tasksid PK · linked to megaplan_deals

FAQ

How does Datrise handle Megaplan'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 Megaplan 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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