DatriseAI-first ETL

Microsoft Teams to Supabase Integration

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

How Datrise loads Microsoft Teams into Supabase

Datrise syncs Microsoft Teams's teams, channels, messages, users, meetings, and call 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

Microsoft Teams: Team chat, channels, and meeting activity.

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

How Microsoft Teams entities map to Supabase

Microsoft Teams entitySupabase objectNotes
teamsmicrosoft_teams_teamsid PK · custom fields → jsonb columns
channelsmicrosoft_teams_channelsid PK · linked to microsoft_teams_teams
messagesmicrosoft_teams_messagesid PK · linked to microsoft_teams_teams
usersmicrosoft_teams_usersid PK · linked to microsoft_teams_teams

FAQ

How does Datrise handle Microsoft Teams'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 Microsoft Teams 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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