DatriseAI-first ETL

Glassfrog to Supabase Integration

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

How Datrise loads Glassfrog into Supabase

Datrise syncs Glassfrog's circles, roles, people, accountabilities, projects, and governance records 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

Glassfrog: Holacracy roles, circles, and governance records.

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

How Glassfrog entities map to Supabase

Glassfrog entitySupabase objectNotes
circlesglassfrog_circlesid PK · custom fields → jsonb columns
rolesglassfrog_rolesid PK · linked to glassfrog_circles
peopleglassfrog_peopleid PK · linked to glassfrog_circles
accountabilitiesglassfrog_accountabilitiesid PK · linked to glassfrog_circles

FAQ

How does Datrise handle Glassfrog'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 Glassfrog 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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