Google Analytics 4 to Amazon Athena Integration

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

How Datrise loads Google Analytics 4 into Amazon Athena

Datrise syncs Google Analytics 4's events, users, sessions, traffic sources, conversions, and audiences into Amazon Athena as partitioned Parquet in S3 exposed as an Athena table. Flexible or custom fields land in struct/map columns in Parquet, and timestamps such as created, updated, and status changes are typed as timestamp.

Sync is incremental: Datrise uses writes new Parquet partitions and registers them in the Glue Data Catalog, so re-runs update only what changed. Hive-style partitioning by load date so Athena scans only new data. Athena bills per byte scanned and small files hurt, so Datrise compacts to right-sized Parquet rather than many tiny objects.

Ideal for serverless SQL over an S3 lake without a running warehouse.

Endpoints

Google Analytics 4: Event-based web and app analytics from Google.

Amazon Athena: Serverless SQL over S3 data lake tables.

How Google Analytics 4 entities map to Amazon Athena

Google Analytics 4 entity	Amazon Athena object	Notes
events	`ga4_events`	timestamp events
users	`ga4_users`	id PK · linked to ga4_events
sessions	`ga4_sessions`	id PK · linked to ga4_events
traffic sources	`ga4_traffic_sources`	id PK · linked to ga4_events

FAQ

How does Datrise handle Google Analytics 4's custom fields in Amazon Athena?

Flexible values are stored as struct/map columns in Parquet, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon Athena types.

How does the Google Analytics 4 to Amazon Athena sync stay up to date?

It runs incrementally — Datrise uses writes new Parquet partitions and registers them in the Glue Data Catalog.

Related pipelines

More destinations for Google Analytics 4

More sources for Amazon Athena

Early access

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