DatriseAI-first ETL

AWS CloudTrail to MySQL Integration

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

How Datrise loads AWS CloudTrail into MySQL

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

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Optional RANGE partitioning by load date. MySQL collation matters for CRM text, so Datrise lands utf8mb4 to preserve emoji and non-Latin characters.

Ideal for operational reporting and app databases already standardized on MySQL.

Endpoints

AWS CloudTrail: AWS account activity and API audit logging.

MySQL: Widely used OSS relational engine (InnoDB).

How AWS CloudTrail entities map to MySQL

AWS CloudTrail entityMySQL objectNotes
API eventsaws_cloudtrail_api_eventsDATETIME/TIMESTAMP 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_sourcesDATETIME/TIMESTAMP events

FAQ

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

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

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

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.

Related pipelines

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