CircleCI to Redash Integration
AI-first ETL from CircleCI into Redash. Governed entities, incremental sync, typed landing tables.
How Datrise loads CircleCI into Redash
Datrise syncs CircleCI's pipelines, workflows, jobs, builds, test results, and artifacts into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.
Ideal for lightweight, query-driven dashboards.
Endpoints
CircleCI: Continuous integration and delivery pipelines.
Redash: Open-source SQL client for queries, visualizations, and dashboards.
How CircleCI entities map to Redash
| CircleCI entity | Redash object | Notes |
|---|---|---|
| pipelines | circle_ci_pipelines | id PK · custom fields → flattened columns for query results |
| workflows | circle_ci_workflows | id PK · linked to circle_ci_pipelines |
| jobs | circle_ci_jobs | id PK · linked to circle_ci_pipelines |
| builds | circle_ci_builds | id PK · linked to circle_ci_pipelines |
FAQ
How does Datrise handle CircleCI's custom fields in Redash?
Flexible values are stored as flattened columns for query results, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Redash types.
How does the CircleCI to Redash sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for CircleCI
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