Microsoft SharePoint to Neon Integration
AI-first ETL from Microsoft SharePoint into Neon. Governed entities, incremental sync, typed landing tables.
How Datrise loads Microsoft SharePoint into Neon
Datrise syncs Microsoft SharePoint's sites, lists, list items, documents, libraries, and permissions into Neon as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.
Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.
Ideal for serverless Postgres workloads that scale to zero between syncs.
Endpoints
Microsoft SharePoint: Document libraries and team site content.
Neon: Serverless Postgres destination with branching and autoscaling.
How Microsoft SharePoint entities map to Neon
| Microsoft SharePoint entity | Neon object | Notes |
|---|---|---|
| sites | microsoft_sharepoint_sites | id PK · custom fields → jsonb 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 Neon?
Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Neon types.
How does the Microsoft SharePoint to Neon sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.
Related pipelines
More destinations for Microsoft SharePoint
- Microsoft SharePoint → PlanetScale
- Microsoft SharePoint → Amazon DynamoDB
- Microsoft SharePoint → Looker
- Microsoft SharePoint → Looker Studio
- Microsoft SharePoint → Microsoft Power BI
- Microsoft SharePoint → Tableau
- Microsoft SharePoint → Apache Superset
- Microsoft SharePoint → Metabase
- Microsoft SharePoint → Amazon QuickSight
- Microsoft SharePoint → Domo
- Microsoft SharePoint → Sisense
- Microsoft SharePoint → ThoughtSpot
Early access
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