AWS CloudTrail to Domo Integration
AI-first ETL from AWS CloudTrail into Domo. Governed entities, incremental sync, typed landing tables.
How Datrise loads AWS CloudTrail into Domo
Datrise syncs AWS CloudTrail's API events, identities, resources, event sources, error codes, and request parameters into Domo as datasets in Domo's cloud store via connector. Flexible or custom fields land in flattened columns for Magic ETL, and timestamps such as created, updated, and status changes are typed as date/time columns.
Sync is incremental: Datrise uses partitioned dataset updates rather than full replaces, so re-runs update only what changed. Domo dataset partitions keyed on load date. Domo stores its own copy of data, so Datrise sends incremental partitions to avoid re-uploading whole datasets.
Ideal for all-in-one cloud BI with built-in ETL.
Endpoints
AWS CloudTrail: AWS account activity and API audit logging.
Domo: Cloud BI platform combining data integration and executive dashboards.
How AWS CloudTrail entities map to Domo
| AWS CloudTrail entity | Domo object | Notes |
|---|---|---|
| API events | aws_cloudtrail_api_events | date/time 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/time columns events |
FAQ
How does Datrise handle AWS CloudTrail's custom fields in Domo?
Flexible values are stored as flattened columns for Magic ETL, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Domo types.
How does the AWS CloudTrail to Domo sync stay up to date?
It runs incrementally — Datrise uses partitioned dataset updates rather than full replaces.
Related pipelines
More destinations for AWS CloudTrail
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