SonarCloud to Mode Integration

How Datrise loads SonarCloud into Mode

Datrise syncs SonarCloud's projects, issues, code smells, security hotspots, quality gates, and measures into Mode as warehouse tables Mode queries with SQL. Flexible or custom fields land in flattened columns for SQL and notebooks, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned facts for report queries. Mode runs analyst-written SQL, so Datrise lands stable, documented tables that won't break saved reports.

Ideal for SQL-first analysis with Python and R notebooks.

Endpoints

SonarCloud: Static code quality and security analysis.

Mode: Collaborative analytics workspace for SQL, Python, and shared reports.

How SonarCloud entities map to Mode

SonarCloud entity	Mode object	Notes
projects	`sonar_cloud_projects`	id PK · custom fields → flattened columns for SQL and notebooks
issues	`sonar_cloud_issues`	id PK · linked to sonar_cloud_projects
code smells	`sonar_cloud_code_smells`	id PK · linked to sonar_cloud_projects
security hotspots	`sonar_cloud_security_hotspots`	id PK · linked to sonar_cloud_projects

FAQ

How does Datrise handle SonarCloud's custom fields in Mode?

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

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

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

Related pipelines

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