DatriseAI-first ETL

Microsoft Teams to PlanetScale Integration

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

How Datrise loads Microsoft Teams into PlanetScale

Datrise syncs Microsoft Teams's teams, channels, messages, users, meetings, and call records into PlanetScale as a typed table per source entity. Flexible or custom fields land in JSON columns, and timestamps such as created, updated, and status changes are typed as DATETIME.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Vitess sharding by tenant or entity key for very large tables. PlanetScale disallows foreign-key constraints by default, so Datrise models relationships by stable id columns rather than enforced FKs.

Ideal for horizontally scalable MySQL apps on Vitess.

Endpoints

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

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Microsoft Teams entities map to PlanetScale

Microsoft Teams entityPlanetScale objectNotes
teamsmicrosoft_teams_teamsid PK · custom fields → JSON 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 PlanetScale?

Flexible values are stored as JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PlanetScale types.

How does the Microsoft Teams to PlanetScale sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.

Related pipelines

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