DatriseAI-first ETL

SonarCloud to Chartio Integration

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

How Datrise loads SonarCloud into Chartio

Datrise syncs SonarCloud's projects, issues, code smells, security hotspots, quality gates, and measures into Chartio as SQL tables a visual-SQL explorer connects to. Flexible or custom fields land in flattened columns for visual SQL, 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. Visual-SQL tools build joins from your schema, so Datrise lands clearly related tables with stable id columns.

Ideal for drag-and-drop charting over a database.

Endpoints

SonarCloud: Static code quality and security analysis.

Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.

How SonarCloud entities map to Chartio

SonarCloud entityChartio objectNotes
projectssonar_cloud_projectsid PK · custom fields → flattened columns for visual SQL
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 Chartio?

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

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

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

Related pipelines

Early access

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