DatriseAI-first ETL

Gainsight to Supabase Integration

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

How Datrise loads Gainsight into Supabase

Datrise syncs Gainsight's customers, health scores, playbooks, tasks, surveys, and usage metrics 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

Gainsight: Customer success health scoring and playbooks.

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

How Gainsight entities map to Supabase

Gainsight entitySupabase objectNotes
customersgainsight_customersid PK · custom fields → jsonb columns
health scoresgainsight_health_scoresid PK · linked to gainsight_customers
playbooksgainsight_playbooksid PK · linked to gainsight_customers
tasksgainsight_tasksid PK · linked to gainsight_customers

FAQ

How does Datrise handle Gainsight'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 Gainsight 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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