DatriseAI-first ETL

CircleCI to ThoughtSpot Integration

AI-first ETL from CircleCI into ThoughtSpot. Governed entities, incremental sync, typed landing tables.

How Datrise loads CircleCI into ThoughtSpot

Datrise syncs CircleCI's pipelines, workflows, jobs, builds, test results, and artifacts 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

CircleCI: Continuous integration and delivery pipelines.

ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.

How CircleCI entities map to ThoughtSpot

CircleCI entityThoughtSpot objectNotes
pipelinescircle_ci_pipelinesid PK · custom fields → flattened columns for searchable fields
workflowscircle_ci_workflowsid PK · linked to circle_ci_pipelines
jobscircle_ci_jobsid PK · linked to circle_ci_pipelines
buildscircle_ci_buildsid PK · linked to circle_ci_pipelines

FAQ

How does Datrise handle CircleCI'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 CircleCI to ThoughtSpot sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the indexed tables.

Related pipelines

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