Microsoft Dataverse to ClickHouse Integration
AI-first ETL from Microsoft Dataverse into ClickHouse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Microsoft Dataverse into ClickHouse
Datrise syncs Microsoft Dataverse's tables, rows, columns, relationships, choice sets, and change tracking 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 Dataverse: Business data platform behind Dynamics and Power Apps.
ClickHouse: Columnar OLAP engine for fast aggregations.
How Microsoft Dataverse entities map to ClickHouse
| Microsoft Dataverse entity | ClickHouse object | Notes |
|---|---|---|
| tables | microsoft_dataverse_tables | id PK · custom fields → JSON or Map columns |
| rows | microsoft_dataverse_rows | id PK · linked to microsoft_dataverse_tables |
| columns | microsoft_dataverse_columns | id PK · linked to microsoft_dataverse_tables |
| relationships | microsoft_dataverse_relationships | id PK · linked to microsoft_dataverse_tables |
FAQ
How does Datrise handle Microsoft Dataverse'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 Dataverse 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
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- Microsoft Dataverse → DuckDB
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- Microsoft Dataverse → Azure Data Lake Storage
- Microsoft Dataverse → Azure Synapse
- Microsoft Dataverse → Spreadsheets
- Microsoft Dataverse → Airtable
- Microsoft Dataverse → CSV Files
- Microsoft Dataverse → MongoDB
- Microsoft Dataverse → Supabase
- Microsoft Dataverse → Neon
- Microsoft Dataverse → PlanetScale
More sources for ClickHouse
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