DatriseAI-first ETL

CircleCI to Amazon QuickSight Integration

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

How Datrise loads CircleCI into Amazon QuickSight

Datrise syncs CircleCI's pipelines, workflows, jobs, builds, test results, and artifacts into Amazon QuickSight as warehouse tables or a SPICE-loaded dataset. Flexible or custom fields land in flattened columns for analyses, and timestamps such as created, updated, and status changes are typed as date/time fields.

Sync is incremental: Datrise uses incremental refresh of the tables behind SPICE or direct query, so re-runs update only what changed. Date-partitioned facts to bound SPICE refresh. QuickSight SPICE is an in-memory copy, so Datrise keeps the backing tables incremental so refreshes stay cheap.

Ideal for AWS-native dashboards with pay-per-session pricing.

Endpoints

CircleCI: Continuous integration and delivery pipelines.

Amazon QuickSight: AWS serverless BI with SPICE and embedded analytics.

How CircleCI entities map to Amazon QuickSight

CircleCI entityAmazon QuickSight objectNotes
pipelinescircle_ci_pipelinesid PK · custom fields → flattened columns for analyses
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 Amazon QuickSight?

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

How does the CircleCI to Amazon QuickSight sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the tables behind SPICE or direct query.

Related pipelines

Early access

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