DatriseAI-first ETL

Microsoft SharePoint to Amazon DynamoDB Integration

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

How Datrise loads Microsoft SharePoint into Amazon DynamoDB

Datrise syncs Microsoft SharePoint's sites, lists, list items, documents, libraries, and permissions into Amazon DynamoDB as an item per source record in a table per entity. Flexible or custom fields land in nested map/list attributes, and timestamps such as created, updated, and status changes are typed as ISO-8601 string or epoch number attributes.

Sync is incremental: Datrise uses PutItem/UpdateItem keyed on a partition key derived from the entity id, so re-runs update only what changed. Partition-key design on the entity id to spread throughput evenly. DynamoDB rewards access-pattern-first key design, so Datrise sets partition/sort keys from your entity ids rather than scan-heavy defaults.

Ideal for serverless apps needing single-digit-millisecond key lookups on CRM data.

Endpoints

Microsoft SharePoint: Document libraries and team site content.

Amazon DynamoDB: Serverless key-value and document store on AWS.

How Microsoft SharePoint entities map to Amazon DynamoDB

Microsoft SharePoint entityAmazon DynamoDB objectNotes
sitesmicrosoft_sharepoint_sitesid PK · custom fields → nested map/list attributes
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 Amazon DynamoDB?

Flexible values are stored as nested map/list attributes, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon DynamoDB types.

How does the Microsoft SharePoint to Amazon DynamoDB sync stay up to date?

It runs incrementally — Datrise uses PutItem/UpdateItem keyed on a partition key derived from the entity id.

Related pipelines

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