Microsoft Teams → ClickHouse
AI-first ETL from Microsoft Teams into ClickHouse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Microsoft Teams into ClickHouse
Datrise syncs Microsoft Teams's records, events, and configuration objects into ClickHouse as a MergeTree table per source entity. Flexible or custom fields land in JSON or Map columns, and timestamps such as created, updated, and status changes are typed as DateTime64.
Sync is incremental: Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge, so re-runs update only what changed. Partition by month and order by (entity id, updated-at) for fast range scans. ClickHouse deduplicates asynchronously on merge, so Datrise uses ReplacingMergeTree and FINAL-safe queries rather than assuming immediate upserts.
Ideal for high-volume event analytics that need sub-second aggregation.
Endpoints
Microsoft Teams: SaaS or API data source for analytics and warehouse sync.
ClickHouse: Columnar OLAP engine for fast aggregations.
How Microsoft Teams entities map to ClickHouse
| Microsoft Teams entity | ClickHouse object | Notes |
|---|---|---|
| records | microsoft_teams_records | id PK · custom fields → JSON or Map columns |
| events | microsoft_teams_events | DateTime64 events |
| configuration objects | microsoft_teams_configuration_objects | id PK · linked to microsoft_teams_records |
FAQ
How does Datrise handle Microsoft Teams's custom fields in ClickHouse?
Flexible values are stored as JSON or Map columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native ClickHouse types.
How does the Microsoft Teams to ClickHouse sync stay up to date?
It runs incrementally — Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge.
Related pipelines
More destinations for Microsoft Teams
- Microsoft Teams → DuckDB
- Microsoft Teams → Amazon Athena
- Microsoft Teams → Amazon S3 Data Lake
- Microsoft Teams → Azure Data Lake Storage
- Microsoft Teams → Azure Synapse
- Microsoft Teams → Spreadsheets
- Microsoft Teams → Airtable
- Microsoft Teams → CSV Files
- Microsoft Teams → MongoDB
- Microsoft Teams → Supabase
- Microsoft Teams → Neon
- Microsoft Teams → PlanetScale
More sources for ClickHouse
Early access
Connect Microsoft Teams to ClickHouse the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.