DatriseAI-first ETL

SonarCloud to Yellowfin Integration

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

How Datrise loads SonarCloud into Yellowfin

Datrise syncs SonarCloud's projects, issues, code smells, security hotspots, quality gates, and measures 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

SonarCloud: Static code quality and security analysis.

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

How SonarCloud entities map to Yellowfin

SonarCloud entityYellowfin objectNotes
projectssonar_cloud_projectsid PK · custom fields → flattened columns
issuessonar_cloud_issuesid PK · linked to sonar_cloud_projects
code smellssonar_cloud_code_smellsid PK · linked to sonar_cloud_projects
security hotspotssonar_cloud_security_hotspotsid PK · linked to sonar_cloud_projects

FAQ

How does Datrise handle SonarCloud'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 SonarCloud to Yellowfin sync stay up to date?

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

Related pipelines

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