Amazon DynamoDB to Looker Integration
AI-first ETL from Amazon DynamoDB into Looker. Governed entities, incremental sync, typed landing tables.
How Datrise loads Amazon DynamoDB into Looker
Datrise syncs Amazon DynamoDB's tables, items, partition keys, sort keys, attributes, and stream records into Looker as governed warehouse tables with LookML-ready naming. Flexible or custom fields land in flattened columns (nested fields expanded for modeling), and timestamps such as created, updated, and status changes are typed as date/time dimension columns.
Sync is incremental: Datrise uses incremental refresh of the underlying warehouse tables Looker explores, so re-runs update only what changed. Date-partitioned fact tables for PDT performance. Looker models live in LookML on top of SQL, so Datrise lands clean, stable column names rather than churn that would break your views.
Ideal for governed, version-controlled BI on a warehouse.
Endpoints
Amazon DynamoDB: Serverless key-value and document store on AWS.
Looker: Google Cloud BI with LookML semantic models and governed dashboards.
How Amazon DynamoDB entities map to Looker
| Amazon DynamoDB entity | Looker object | Notes |
|---|---|---|
| tables | source_dynamodb_tables | id PK · custom fields → flattened columns (nested fields expanded for modeling) |
| items | source_dynamodb_items | id PK · linked to source_dynamodb_tables |
| partition keys | source_dynamodb_partition_keys | id PK · linked to source_dynamodb_tables |
| sort keys | source_dynamodb_sort_keys | id PK · linked to source_dynamodb_tables |
FAQ
How does Datrise handle Amazon DynamoDB's custom fields in Looker?
Flexible values are stored as flattened columns (nested fields expanded for modeling), so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Looker types.
How does the Amazon DynamoDB to Looker sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the underlying warehouse tables Looker explores.
Related pipelines
More destinations for Amazon DynamoDB
- Amazon DynamoDB → Looker Studio
- Amazon DynamoDB → Microsoft Power BI
- Amazon DynamoDB → Tableau
- Amazon DynamoDB → Apache Superset
- Amazon DynamoDB → Metabase
- Amazon DynamoDB → Amazon QuickSight
- Amazon DynamoDB → Domo
- Amazon DynamoDB → Sisense
- Amazon DynamoDB → ThoughtSpot
- Amazon DynamoDB → Qlik
- Amazon DynamoDB → Mode
- Amazon DynamoDB → Redash
Early access
Connect Amazon DynamoDB to Looker 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.