Microsoft Sharepoint → Amazon Redshift
AI-first ETL from Microsoft Sharepoint into Amazon Redshift. Governed entities, incremental sync, typed landing tables.
How Datrise loads Microsoft Sharepoint into Amazon Redshift
Datrise syncs Microsoft Sharepoint's records, events, and configuration objects into Amazon Redshift as a typed table per source entity. Flexible or custom fields land in SUPER columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMPTZ.
Sync is incremental: Datrise uses COPY from staged files, then a delete-and-insert merge on stable id, so re-runs update only what changed. A DISTKEY on the join id and a SORTKEY on the load timestamp. Redshift performance hinges on dist/sort keys, so Datrise picks them from your entity ids and sync timestamps rather than defaulting to EVEN distribution.
Ideal for AWS-native warehouses already using the Redshift ecosystem.
Endpoints
Microsoft Sharepoint: SaaS or API data source for analytics and warehouse sync.
Amazon Redshift: AWS petabyte-scale warehouse with Spectrum.
How Microsoft Sharepoint entities map to Amazon Redshift
| Microsoft Sharepoint entity | Amazon Redshift object | Notes |
|---|---|---|
| records | microsoft_sharepoint_records | id PK · custom fields → SUPER columns |
| events | microsoft_sharepoint_events | TIMESTAMPTZ events |
| configuration objects | microsoft_sharepoint_configuration_objects | id PK · linked to microsoft_sharepoint_records |
FAQ
How does Datrise handle Microsoft Sharepoint's custom fields in Amazon Redshift?
Flexible values are stored as SUPER columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon Redshift types.
How does the Microsoft Sharepoint to Amazon Redshift sync stay up to date?
It runs incrementally — Datrise uses COPY from staged files, then a delete-and-insert merge on stable id.
Related pipelines
More destinations for Microsoft Sharepoint
- Microsoft Sharepoint → Databricks SQL Warehouse
- Microsoft Sharepoint → ClickHouse
- Microsoft Sharepoint → DuckDB
- Microsoft Sharepoint → Amazon Athena
- Microsoft Sharepoint → Amazon S3 Data Lake
- Microsoft Sharepoint → Azure Data Lake Storage
- Microsoft Sharepoint → Azure Synapse
- Microsoft Sharepoint → Spreadsheets
- Microsoft Sharepoint → Airtable
- Microsoft Sharepoint → CSV Files
- Microsoft Sharepoint → MongoDB
- Microsoft Sharepoint → Supabase
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Early access
Connect Microsoft Sharepoint to Amazon Redshift the easy way
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