DatriseAI-first ETL

Microsoft Teams to Neon Integration

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

How Datrise loads Microsoft Teams into Neon

Datrise syncs Microsoft Teams's teams, channels, messages, users, meetings, and call records into Neon as a typed table per source entity. 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 by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.

Ideal for serverless Postgres workloads that scale to zero between syncs.

Endpoints

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

Neon: Serverless Postgres destination with branching and autoscaling.

How Microsoft Teams entities map to Neon

Microsoft Teams entityNeon 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 Neon?

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 Neon types.

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

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

Related pipelines

Early access

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