CircleCI to Birst Integration
AI-first ETL from CircleCI into Birst. Governed entities, incremental sync, typed landing tables.
How Datrise loads CircleCI into Birst
Datrise syncs CircleCI's pipelines, workflows, jobs, builds, test results, and artifacts into Birst as warehouse tables for Birst's automated star schema. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the source tables Birst ingests, so re-runs update only what changed. Date-partitioned facts. Birst builds its own semantic layer, so Datrise lands conformed, well-keyed tables it can automate against.
Ideal for networked, governed enterprise BI.
Endpoints
CircleCI: Continuous integration and delivery pipelines.
Birst: Cloud BI with networked analytics and enterprise semantic layers.
How CircleCI entities map to Birst
| CircleCI entity | Birst object | Notes |
|---|---|---|
| pipelines | circle_ci_pipelines | id PK · custom fields → flattened columns |
| 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 Birst?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Birst types.
How does the CircleCI to Birst sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.
Related pipelines
More destinations for CircleCI
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