DatriseAI-first ETL

Teamleader Supabase

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

How Datrise loads Teamleader into Supabase

Datrise syncs Teamleader's contacts, accounts, deals, activities, and lifecycle events 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

Teamleader: European CRM for SMB and mid-market sales teams.

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

How Teamleader entities map to Supabase

Teamleader entitySupabase objectNotes
contactsteamleader_contactsid PK · custom fields → jsonb columns
accountsteamleader_accountsid PK · linked to teamleader_contacts
dealsteamleader_dealsid PK · linked to teamleader_contacts
activitiesteamleader_activitiestimestamptz events

FAQ

How does Datrise handle Teamleader'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 Teamleader 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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