AWS CloudTrail to Looker Studio Integration
AI-first ETL from AWS CloudTrail into Looker Studio. Governed entities, incremental sync, typed landing tables.
How Datrise loads AWS CloudTrail into Looker Studio
Datrise syncs AWS CloudTrail's API events, identities, resources, event sources, error codes, and request parameters into Looker Studio as warehouse tables Looker Studio connects to. Flexible or custom fields land in flattened columns for chart fields, and timestamps such as created, updated, and status changes are typed as date dimension columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned tables to keep extract refresh fast. Looker Studio performs best on pre-aggregated tables, so Datrise lands tidy, report-shaped tables rather than raw API payloads.
Ideal for free, shareable dashboards on Google data sources.
Endpoints
AWS CloudTrail: AWS account activity and API audit logging.
Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).
How AWS CloudTrail entities map to Looker Studio
| AWS CloudTrail entity | Looker Studio object | Notes |
|---|---|---|
| API events | aws_cloudtrail_api_events | date dimension columns events |
| identities | aws_cloudtrail_identities | id PK · linked to aws_cloudtrail_api_events |
| resources | aws_cloudtrail_resources | id PK · linked to aws_cloudtrail_api_events |
| event sources | aws_cloudtrail_event_sources | date dimension columns events |
FAQ
How does Datrise handle AWS CloudTrail's custom fields in Looker Studio?
Flexible values are stored as flattened columns for chart fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Looker Studio types.
How does the AWS CloudTrail to Looker Studio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for AWS CloudTrail
- AWS CloudTrail → Microsoft Power BI
- AWS CloudTrail → Tableau
- AWS CloudTrail → Apache Superset
- AWS CloudTrail → Metabase
- AWS CloudTrail → Amazon QuickSight
- AWS CloudTrail → Domo
- AWS CloudTrail → Sisense
- AWS CloudTrail → ThoughtSpot
- AWS CloudTrail → Qlik
- AWS CloudTrail → Mode
- AWS CloudTrail → Redash
- AWS CloudTrail → Chartio
More sources for Looker Studio
- Azure Table Storage → Looker Studio
- Azure Blob Storage → Looker Studio
- Babelforce → Looker Studio
- BigCommerce → Looker Studio
- Google BigQuery → Looker Studio
- Branch → Looker Studio
- Braze → Looker Studio
- Bronto → Looker Studio
- CallRail → Looker Studio
- Campaign Monitor → Looker Studio
- Cart → Looker Studio
- ChartMogul → Looker Studio
Early access
Connect AWS CloudTrail to Looker Studio 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.