DatriseAI-first ETL

Insightly Supabase

AI-first ETL from Insightly into Supabase. Governed entities, incremental sync, typed landing tables.

How Datrise loads Insightly into Supabase

Datrise syncs Insightly's contacts, organizations, opportunities, projects, and delivery milestones into Supabase as a typed table per source entity in your Supabase Postgres. 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 for high-volume tables. Datrise lands into a dedicated schema and leaves row-level security to you, so synced tables don't inherit public access by accident.

Ideal for app builders who want CRM data alongside their Supabase product data.

Endpoints

Insightly: CRM and lightweight project delivery.

Supabase: Postgres platform with auth, storage, and realtime APIs.

How Insightly entities map to Supabase

Insightly entitySupabase objectNotes
contactsinsightly_contactsid PK · custom fields → jsonb columns
organizationsinsightly_organizationsid PK · linked to insightly_contacts
opportunitiesinsightly_opportunitiesid PK · linked to insightly_contacts
projectsinsightly_projectsid PK · linked to insightly_contacts

FAQ

How does Datrise handle Insightly's custom fields in Supabase?

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 Supabase types.

How does the Insightly to Supabase 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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