DatriseAI-first ETL

Jenkins to Yellowfin Integration

AI-first ETL from Jenkins into Yellowfin. Governed entities, incremental sync, typed landing tables.

How Datrise loads Jenkins into Yellowfin

Datrise syncs Jenkins's jobs, builds, stages, test results, artifacts, and build logs into Yellowfin as warehouse tables Yellowfin builds views on. 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 connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.

Ideal for dashboards with automated data storytelling.

Endpoints

Jenkins: Self-hosted build automation and CI jobs.

Yellowfin: BI suite with dashboards, automated insights, and data storytelling.

How Jenkins entities map to Yellowfin

Jenkins entityYellowfin objectNotes
jobsjenkins_jobsid PK · custom fields → flattened columns
buildsjenkins_buildsid PK · linked to jenkins_jobs
stagesjenkins_stagesid PK · linked to jenkins_jobs
test resultsjenkins_test_resultsid PK · linked to jenkins_jobs

FAQ

How does Datrise handle Jenkins's custom fields in Yellowfin?

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 Yellowfin types.

How does the Jenkins to Yellowfin sync stay up to date?

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

Related pipelines

Early access

Connect Jenkins to Yellowfin the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.