SonarQube Server
by SonarSource
SonarQube Server analyzes code on infrastructure the team controls and keeps the results per project and branch: issues by type and severity, measures such as coverage, duplication and technical debt, quality gate status and security hotspots awaiting review. Bringing those results into DataMind turns code quality into a trend that engineering leaders can track by team and relate to delivery and incident data.
- Category
- Developer Tools
- Type
- Code quality
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- Access token, Username and password
02Data
What you can sync.
- Projects
- Issues
- Measures
- Quality gates
- Hotspots
Join SonarQube Server projects with product usage and revenue to see what each release changed.
Need more? Name any other SonarQube Server data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- An access token
- A username and password
SonarQube Server uses an access token or a username and password. You add the credentials once, when the AI asks for them, and it tells you where to create them in SonarSource if you need help.
04Questions
Questions you can answer.
Once SonarQube Server data is in your Lake, ask an AI Mind in plain words or build the answer in DataPrism BI.
- How have technical debt and test coverage changed per project over the last six months?
- Which projects failed their quality gate on the main branch this month, and on which conditions?
- How many security hotspots are still waiting for review, and how old are they?
- How many new blocker and critical issues did each team introduce per release?
- Which projects have duplication above 5 percent?
05How it works
How it works in DataMind.
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Pick SonarQube Server.
Open Lake, pick SonarQube Server in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the SonarQube Server API docs.
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Answer a few questions.
The AI reads the SonarQube Server documentation, then asks which credentials you will use, which data to sync (for example projects and issues), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
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Your data lands in Lake.
It builds the connector, tests it and shows you sample rows. Then SonarQube Server data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
06Pairs
Works well with SonarQube Server.
Sources teams join with SonarQube Server in the Warehouse, each one connected the same way.
