DatriseAI-first ETL

Amazon DynamoDB to Spreadsheets Integration

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

How Datrise loads Amazon DynamoDB into Spreadsheets

Datrise syncs Amazon DynamoDB's tables, items, partition keys, sort keys, attributes, and stream records into Spreadsheets as a tab per source entity. Flexible or custom fields land in JSON-stringified cells for nested fields, and timestamps such as created, updated, and status changes are typed as ISO-8601 text or serial date cells.

Sync is incremental: Datrise uses refreshes the tab's rows each run, preserving header order, so re-runs update only what changed. Sheets caps out around the low millions of cells, so Datrise lands a curated column set rather than every raw field.

Ideal for lightweight, shareable reporting for non-technical teams.

Endpoints

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

Spreadsheets: Business-friendly spreadsheet destination for collaborative analysis.

How Amazon DynamoDB entities map to Spreadsheets

Amazon DynamoDB entitySpreadsheets objectNotes
tablessource_dynamodb_tablesid PK · custom fields → JSON-stringified cells for nested fields
itemssource_dynamodb_itemsid PK · linked to source_dynamodb_tables
partition keyssource_dynamodb_partition_keysid PK · linked to source_dynamodb_tables
sort keyssource_dynamodb_sort_keysid PK · linked to source_dynamodb_tables

FAQ

How does Datrise handle Amazon DynamoDB's custom fields in Spreadsheets?

Flexible values are stored as JSON-stringified cells for nested fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Spreadsheets types.

How does the Amazon DynamoDB to Spreadsheets sync stay up to date?

It runs incrementally — Datrise uses refreshes the tab's rows each run, preserving header order.

Related pipelines

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