Microsoft SharePoint to Snowflake Integration
AI-first ETL from Microsoft SharePoint into Snowflake. Governed entities, incremental sync, typed landing tables.
How Datrise loads Microsoft SharePoint into Snowflake
Datrise syncs Microsoft SharePoint's sites, lists, list items, documents, libraries, and permissions into Snowflake as a typed table per source entity. Flexible or custom fields land in VARIANT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP_TZ.
Sync is incremental: Datrise uses staged loads merged on stable id with MERGE, so credits scale with change volume, not table size, so re-runs update only what changed. Automatic micro-partitioning, with optional clustering keys on high-cardinality ids. Snowflake upper-cases unquoted identifiers, so Datrise standardizes on lower-case quoted names to keep column references stable.
Ideal for central analytics warehouses feeding BI and AI workloads.
Endpoints
Microsoft SharePoint: Document libraries and team site content.
Snowflake: Cloud data warehouse with separated compute and storage.
How Microsoft SharePoint entities map to Snowflake
| Microsoft SharePoint entity | Snowflake object | Notes |
|---|---|---|
| sites | microsoft_sharepoint_sites | id PK · custom fields → VARIANT columns |
| lists | microsoft_sharepoint_lists | id PK · linked to microsoft_sharepoint_sites |
| list items | microsoft_sharepoint_list_items | id PK · linked to microsoft_sharepoint_sites |
| documents | microsoft_sharepoint_documents | id PK · linked to microsoft_sharepoint_sites |
FAQ
How does Datrise handle Microsoft SharePoint's custom fields in Snowflake?
Flexible values are stored as VARIANT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Snowflake types.
How does the Microsoft SharePoint to Snowflake sync stay up to date?
It runs incrementally — Datrise uses staged loads merged on stable id with MERGE, so credits scale with change volume, not table size.
Related pipelines
More destinations for Microsoft SharePoint
- Microsoft SharePoint → Google BigQuery
- Microsoft SharePoint → Amazon Redshift
- 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
Early access
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