DatriseAI-first ETL

AWS CloudTrail to PostgreSQL Integration

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

How Datrise loads AWS CloudTrail into PostgreSQL

Datrise syncs AWS CloudTrail's API events, identities, resources, event sources, error codes, and request parameters into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

AWS CloudTrail: AWS account activity and API audit logging.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How AWS CloudTrail entities map to PostgreSQL

AWS CloudTrail entityPostgreSQL objectNotes
API eventsaws_cloudtrail_api_eventstimestamptz 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_sourcestimestamptz events

FAQ

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

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

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

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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