DatriseAI-first ETL

AWS CloudTrail to Birst Integration

AI-first ETL from AWS CloudTrail into Birst. Governed entities, incremental sync, typed landing tables.

How Datrise loads AWS CloudTrail into Birst

Datrise syncs AWS CloudTrail's API events, identities, resources, event sources, error codes, and request parameters into Birst as warehouse tables for Birst's automated star schema. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the source tables Birst ingests, so re-runs update only what changed. Date-partitioned facts. Birst builds its own semantic layer, so Datrise lands conformed, well-keyed tables it can automate against.

Ideal for networked, governed enterprise BI.

Endpoints

AWS CloudTrail: AWS account activity and API audit logging.

Birst: Cloud BI with networked analytics and enterprise semantic layers.

How AWS CloudTrail entities map to Birst

AWS CloudTrail entityBirst objectNotes
API eventsaws_cloudtrail_api_eventsdate/time dimensions events
identitiesaws_cloudtrail_identitiesid PK · linked to aws_cloudtrail_api_events
resourcesaws_cloudtrail_resourcesid PK · linked to aws_cloudtrail_api_events
event sourcesaws_cloudtrail_event_sourcesdate/time dimensions events

FAQ

How does Datrise handle AWS CloudTrail's custom fields in Birst?

Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Birst types.

How does the AWS CloudTrail to Birst sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.

Related pipelines

Early access

Connect AWS CloudTrail to Birst 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.