Google Analytics → Amazon DynamoDB
AI-first ETL from Google Analytics into Amazon DynamoDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Analytics into Amazon DynamoDB
Datrise syncs Google Analytics's sessions, events, channels, conversions, and behavior cohorts 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 Analytics: Web and product analytics for behavior and traffic insights.
Amazon DynamoDB: Serverless key-value and document store on AWS.
How Google Analytics entities map to Amazon DynamoDB
| Google Analytics entity | Amazon DynamoDB object | Notes |
|---|---|---|
| sessions | google_analytics_sessions | id PK · custom fields → nested map/list attributes |
| events | google_analytics_events | ISO-8601 string or epoch number attributes events |
| channels | google_analytics_channels | id PK · linked to google_analytics_sessions |
| conversions | google_analytics_conversions | id PK · linked to google_analytics_sessions |
FAQ
How does Datrise handle Google Analytics'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 Analytics 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 Analytics
- Google Analytics → Looker
- Google Analytics → Looker Studio
- Google Analytics → Microsoft Power BI
- Google Analytics → Tableau
- Google Analytics → Apache Superset
- Google Analytics → Metabase
- Google Analytics → Amazon QuickSight
- Google Analytics → Domo
- Google Analytics → Sisense
- Google Analytics → ThoughtSpot
- Google Analytics → Qlik
- Google Analytics → Mode
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Early access
Connect Google Analytics 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.