Insightly → Neon
AI-first ETL from Insightly into Neon. Governed entities, incremental sync, typed landing tables.
How Datrise loads Insightly into Neon
Datrise syncs Insightly's contacts, organizations, opportunities, projects, and delivery milestones 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
Insightly: CRM and lightweight project delivery.
Neon: Serverless Postgres destination with branching and autoscaling.
How Insightly entities map to Neon
| Insightly entity | Neon object | Notes |
|---|---|---|
| contacts | insightly_contacts | id PK · custom fields → jsonb columns |
| organizations | insightly_organizations | id PK · linked to insightly_contacts |
| opportunities | insightly_opportunities | id PK · linked to insightly_contacts |
| projects | insightly_projects | id PK · linked to insightly_contacts |
FAQ
How does Datrise handle Insightly'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 Insightly 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
More destinations for Insightly
Early access
Connect Insightly to Neon the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.