DatriseAI-first ETL

Google Analytics 4 to Amazon DynamoDB Integration

AI-first ETL from Google Analytics 4 into Amazon DynamoDB. Governed entities, incremental sync, typed landing tables.

How Datrise loads Google Analytics 4 into Amazon DynamoDB

Datrise syncs Google Analytics 4's events, users, sessions, traffic sources, conversions, and audiences 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 4: Event-based web and app analytics from Google.

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

How Google Analytics 4 entities map to Amazon DynamoDB

Google Analytics 4 entityAmazon DynamoDB objectNotes
eventsga4_eventsISO-8601 string or epoch number attributes events
usersga4_usersid PK · linked to ga4_events
sessionsga4_sessionsid PK · linked to ga4_events
traffic sourcesga4_traffic_sourcesid PK · linked to ga4_events

FAQ

How does Datrise handle Google Analytics 4'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 4 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

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