DatriseAI-first ETL

Microsoft SharePoint to ClickHouse Integration

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

How Datrise loads Microsoft SharePoint into ClickHouse

Datrise syncs Microsoft SharePoint's sites, lists, list items, documents, libraries, and permissions 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 SharePoint: Document libraries and team site content.

ClickHouse: Columnar OLAP engine for fast aggregations.

How Microsoft SharePoint entities map to ClickHouse

Microsoft SharePoint entityClickHouse objectNotes
sitesmicrosoft_sharepoint_sitesid PK · custom fields → JSON or Map columns
listsmicrosoft_sharepoint_listsid PK · linked to microsoft_sharepoint_sites
list itemsmicrosoft_sharepoint_list_itemsid PK · linked to microsoft_sharepoint_sites
documentsmicrosoft_sharepoint_documentsid PK · linked to microsoft_sharepoint_sites

FAQ

How does Datrise handle Microsoft SharePoint'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 SharePoint 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.

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