AWS CloudTrail to ThoughtSpot Integration
AI-first ETL from AWS CloudTrail into ThoughtSpot. Governed entities, incremental sync, typed landing tables.
How Datrise loads AWS CloudTrail into ThoughtSpot
Datrise syncs AWS CloudTrail's API events, identities, resources, event sources, error codes, and request parameters into ThoughtSpot as warehouse tables ThoughtSpot indexes for search. Flexible or custom fields land in flattened columns for searchable fields, and timestamps such as created, updated, and status changes are typed as date/time columns.
Sync is incremental: Datrise uses incremental refresh of the indexed tables, so re-runs update only what changed. Date-partitioned facts for live-query performance. ThoughtSpot search relies on clear names and relationships, so Datrise lands well-named, joinable tables.
Ideal for natural-language search analytics over a warehouse.
Endpoints
AWS CloudTrail: AWS account activity and API audit logging.
ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.
How AWS CloudTrail entities map to ThoughtSpot
| AWS CloudTrail entity | ThoughtSpot 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 ThoughtSpot?
Flexible values are stored as flattened columns for searchable fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native ThoughtSpot types.
How does the AWS CloudTrail to ThoughtSpot sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the indexed tables.
Related pipelines
More destinations for AWS CloudTrail
More sources for ThoughtSpot
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