DatriseAI-first ETL

Amazon DynamoDB to Redash Integration

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

How Datrise loads Amazon DynamoDB into Redash

Datrise syncs Amazon DynamoDB's tables, items, partition keys, sort keys, attributes, and stream records into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.

Ideal for lightweight, query-driven dashboards.

Endpoints

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

Redash: Open-source SQL client for queries, visualizations, and dashboards.

How Amazon DynamoDB entities map to Redash

Amazon DynamoDB entityRedash objectNotes
tablessource_dynamodb_tablesid PK · custom fields → flattened columns for query results
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 Redash?

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

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

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

Early access

Connect Amazon DynamoDB to Redash the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.