Google Ecommerce to Amazon DynamoDB Integration
AI-first ETL from Google Ecommerce into Amazon DynamoDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Ecommerce into Amazon DynamoDB
Datrise syncs Google Ecommerce's transactions, products, product impressions, checkout steps, revenue, and refunds 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
Google Ecommerce: Ecommerce reporting from Google Analytics.
Amazon DynamoDB: Serverless key-value and document store on AWS.
How Google Ecommerce entities map to Amazon DynamoDB
| Google Ecommerce entity | Amazon DynamoDB object | Notes |
|---|---|---|
| transactions | google_ecommerce_transactions | id PK · custom fields → nested map/list attributes |
| products | google_ecommerce_products | id PK · linked to google_ecommerce_transactions |
| product impressions | google_ecommerce_product_impressions | id PK · linked to google_ecommerce_transactions |
| checkout steps | google_ecommerce_checkout_steps | id PK · linked to google_ecommerce_transactions |
FAQ
How does Datrise handle Google Ecommerce'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 Google Ecommerce 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
More destinations for Google Ecommerce
- Google Ecommerce → Looker
- Google Ecommerce → Looker Studio
- Google Ecommerce → Microsoft Power BI
- Google Ecommerce → Tableau
- Google Ecommerce → Apache Superset
- Google Ecommerce → Metabase
- Google Ecommerce → Amazon QuickSight
- Google Ecommerce → Domo
- Google Ecommerce → Sisense
- Google Ecommerce → ThoughtSpot
- Google Ecommerce → Qlik
- Google Ecommerce → Mode
More sources for Amazon DynamoDB
- Google PageSpeed Insights → Amazon DynamoDB
- Greenhouse → Amazon DynamoDB
- Gridly → Amazon DynamoDB
- Harness → Amazon DynamoDB
- Harvest Forecast → Amazon DynamoDB
- Heap → Amazon DynamoDB
- Hellobaton → Amazon DynamoDB
- Heroku → Amazon DynamoDB
- PostgreSQL → Amazon DynamoDB
- Hubplanner → Amazon DynamoDB
- Impact → Amazon DynamoDB
- Import API → Amazon DynamoDB
Early access
Connect Google Ecommerce to Amazon DynamoDB 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.