DatriseAI-first ETL

SonarCloud to Databricks SQL Warehouse Integration

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

How Datrise loads SonarCloud into Databricks SQL Warehouse

Datrise syncs SonarCloud's projects, issues, code smells, security hotspots, quality gates, and measures into Databricks SQL Warehouse as a Delta Lake table per source entity. Flexible or custom fields land in VARIANT or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.

Sync is incremental: Datrise uses a Delta MERGE on stable id, with change history available via time travel, so re-runs update only what changed. Delta partitioning by load date with OPTIMIZE/Z-ORDER on query keys. Datrise writes Unity Catalog–governed Delta tables, so lineage and permissions are managed centrally rather than per-notebook.

Ideal for lakehouse analytics and ML feature tables on Databricks.

Endpoints

SonarCloud: Static code quality and security analysis.

Databricks SQL Warehouse: Lakehouse SQL endpoints over Delta tables.

How SonarCloud entities map to Databricks SQL Warehouse

SonarCloud entityDatabricks SQL Warehouse objectNotes
projectssonar_cloud_projectsid PK · custom fields → VARIANT or STRUCT 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 Databricks SQL Warehouse?

Flexible values are stored as VARIANT or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Databricks SQL Warehouse types.

How does the SonarCloud to Databricks SQL Warehouse sync stay up to date?

It runs incrementally — Datrise uses a Delta MERGE on stable id, with change history available via time travel.

Related pipelines

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