DatriseAI-first ETL

Amazon DynamoDB to Amazon QuickSight Integration

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

How Datrise loads Amazon DynamoDB into Amazon QuickSight

Datrise syncs Amazon DynamoDB's tables, items, partition keys, sort keys, attributes, and stream records into Amazon QuickSight as warehouse tables or a SPICE-loaded dataset. Flexible or custom fields land in flattened columns for analyses, and timestamps such as created, updated, and status changes are typed as date/time fields.

Sync is incremental: Datrise uses incremental refresh of the tables behind SPICE or direct query, so re-runs update only what changed. Date-partitioned facts to bound SPICE refresh. QuickSight SPICE is an in-memory copy, so Datrise keeps the backing tables incremental so refreshes stay cheap.

Ideal for AWS-native dashboards with pay-per-session pricing.

Endpoints

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

Amazon QuickSight: AWS serverless BI with SPICE and embedded analytics.

How Amazon DynamoDB entities map to Amazon QuickSight

Amazon DynamoDB entityAmazon QuickSight objectNotes
tablessource_dynamodb_tablesid PK · custom fields → flattened columns for analyses
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 Amazon QuickSight?

Flexible values are stored as flattened columns for analyses, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon QuickSight types.

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

It runs incrementally — Datrise uses incremental refresh of the tables behind SPICE or direct query.

Related pipelines

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