DatriseAI-first ETL

Microsoft Sharepoint Chartio

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

How Datrise loads Microsoft Sharepoint into Chartio

Datrise syncs Microsoft Sharepoint's records, events, and configuration objects into Chartio as SQL tables a visual-SQL explorer connects to. Flexible or custom fields land in flattened columns for visual SQL, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Visual-SQL tools build joins from your schema, so Datrise lands clearly related tables with stable id columns.

Ideal for drag-and-drop charting over a database.

Endpoints

Microsoft Sharepoint: SaaS or API data source for analytics and warehouse sync.

Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.

How Microsoft Sharepoint entities map to Chartio

Microsoft Sharepoint entityChartio objectNotes
recordsmicrosoft_sharepoint_recordsid PK · custom fields → flattened columns for visual SQL
eventsmicrosoft_sharepoint_eventstemporal columns events
configuration objectsmicrosoft_sharepoint_configuration_objectsid PK · linked to microsoft_sharepoint_records

FAQ

How does Datrise handle Microsoft Sharepoint's custom fields in Chartio?

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

How does the Microsoft Sharepoint to Chartio sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

Early access

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