DatriseAI-first ETL

SonarCloud to Domo Integration

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

How Datrise loads SonarCloud into Domo

Datrise syncs SonarCloud's projects, issues, code smells, security hotspots, quality gates, and measures into Domo as datasets in Domo's cloud store via connector. Flexible or custom fields land in flattened columns for Magic ETL, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses partitioned dataset updates rather than full replaces, so re-runs update only what changed. Domo dataset partitions keyed on load date. Domo stores its own copy of data, so Datrise sends incremental partitions to avoid re-uploading whole datasets.

Ideal for all-in-one cloud BI with built-in ETL.

Endpoints

SonarCloud: Static code quality and security analysis.

Domo: Cloud BI platform combining data integration and executive dashboards.

How SonarCloud entities map to Domo

SonarCloud entityDomo objectNotes
projectssonar_cloud_projectsid PK · custom fields → flattened columns for Magic ETL
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 Domo?

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

How does the SonarCloud to Domo sync stay up to date?

It runs incrementally — Datrise uses partitioned dataset updates rather than full replaces.

Related pipelines

Early access

Connect SonarCloud to Domo 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.