Static code analysis tools for your Java
Static code analysis for Java that detects bugs, code smells, and security vulnerabilities—right in your PRs and IDE.
Your Java code standards, covered
Latest Java standards
With each Java version, we create dedicated static analysis rules so you learn shiny, new features and avoid pitfalls.
SonarQube Cloud
The SaaS solution for modern DevOps
A fully managed, elastic SaaS code analysis solution that scales instantly with your team to deliver real-time code quality and security verification directly within your cloud-native workflow.
- Get up and running in minutes
- Zero maintenance and infrastructure management
- Automatic updates and new feature rollouts
- 99.9% uptime SLA with global availability
- SOC 2 Type II certified security
SonarQube Server
Self-managed for maximum control
A self-managed code analysis platform that provides full control over your development environment while delivering deep, deterministic security and quality insights across your entire enterprise.
- Complete data residency and privacy control
- Custom configurations and enterprise integrations
- Air-gapped deployment options available
- Dedicated support and professional services
Own the code security of your Java
Reduce security risk in Java with taint-analysis detection aligned to OWASP Top 10 and CWE Top 25 standards.
- Taint analysis finds real source→sink injection flows across files and functions.
- Standards mapping to OWASP and CWE for auditor-friendly reporting.
- Vulnerabilities covered: SQLi, XSS, command injection, deserialization, SSRF.
Build truly secure, reliable, and maintainable software
Sonar seamlessly integrates with your existing CI/CD pipeline, providing the critical feedback you need to improve code quality and security as you work.
Developer-first code quality, right in your IDE
Everything you need to write better code:
- Real-Time Analysis: Issues are flagged in-line as you type.
- Effortless Remediation: Resolve problems in seconds with automatic quick fixes.
- Zero Configuration: Install from your IDE's marketplace—no setup required.
- Continuous Learning: Improve your skills and learn best practices.
Available on Your Favorite IDE Marketplace:
- Visual Studio | VS Code | JetBrains (IntelliJ, Rider, etc.) | Eclipse
Empower your team with unified code quality
Integrate SonarQube into your workflow for consistent code quality.
- Automated Pull Request Analysis: Automatically scan every pull request to prevent bugs from being merged.
- Consistent Quality Standards: Align your team on a shared definition of quality.
- Visible Quality Gate: Get a clear, objective status on release readiness.
- Seamless DevOps Integration: Embed analysis directly into your existing tools.
Tightly Integrates with Your DevOps Platform:
- GitHub | Bitbucket | Azure DevOps | GitLab
Why teams choose SonarQube for Java
AI-ready development
Ship Java code faster with consistent quality and security checks for human and AI-written work, giving developers quicker feedback and the business more predictable delivery.
Code quality
Catch bugs, code smells, and maintainability issues in Java early so developers fix less later, teams stay consistent, and the business lowers long-term maintenance costs.
Code review
Analyze every Java pull request before merge so developers catch issues in context, teams reduce manual review time, and the business ships with fewer regressions.
Code verification
Verify Java code in the IDE and CI so developers get fast feedback, teams enforce shared standards, and the business avoids expensive late-stage fixes.
Security testing
Find Java security issues before release so developers fix risks earlier, teams improve application security at scale, and the business reduces exposure and remediation cost.
Open source & secrets
Extend Java security beyond first-party code with dependency and secret checks where supported, helping teams reduce risk while keeping delivery efficient and controlled.
"We're not just keeping quality high; we're actually able to go faster … AI makes it easier to deliver velocity, but only if you provide the right context from tools like SonarQube."
Stephen ByrnesDistinguished Engineer
"We're not just keeping quality high; we're actually able to go faster … AI makes it easier to deliver velocity, but only if you provide the right context from tools like SonarQube."
Stephen ByrnesDistinguished Engineer
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Build trust into every line of code
Ready to deliver better, secure code? Get started today with the SonarQube deployment that's right for you.
4.6 / 5
Language Versions
Java LTS 8, 11, 17, 21, and all intermediary versions up to 24 are fully supported
Web/Application Frameworks
Struts, Spring, JSP
Test Frameworks
JUnit 4/5, AssertJ, Mockito, Spring Test, TestNG
ORMs
Hibernate, Spring JDBC Template, JDO, VertX SQL
Build Integrations
Maven, Gradle, Ant
What does SonarQube offer for Java static code analysis?
SonarQube helps identify bugs, code smells, and security vulnerabilities in Java code. It applies a large set of highly accurate rules to evaluate code quality, reliability, and maintainability to help teams to continuously improve Java code through automated analysis.
What types of issues can SonarQube detect in Java code?
SonarQube detects complex bugs, technical debt, also known as code smells, and security vulnerabilities in Java code. It also finds issues aligned with security standards such as OWASP and CWE Top 25 to help uncover common and critical security risks to help meet compliance. SonarQube can catch both obvious and complex issues that are often difficult to identify manually.
How many rules are available for Java analysis in SonarQube?
SonarQube includes over 700 rules for Java, covering a wide range of quality, security and maintainability concerns. These rules enforce coding standards and highlight risky patterns in the codebase. SonarQube’s breadth of coverage in Java is key to maintaining consistent code quality across projects.
Can SonarQube help developers fix Java issues quickly?
Yes, SonarQube provides guidance and Quick Fixes to help developers resolve Java issues efficiently and automatically. It includes clear rule descriptions, contextual insights, and remediation support to explain why an issue matters and how to fix it. In supported environments, developers can apply fixes directly with minimal effort.
Does SonarQube support Java analysis in the IDE?
Yes, SonarQubeQube for IDE enables real-time Java code analysis directly within the integrated development environment. It surfaces issues as developers write code, along with detailed explanations and suggested fixes. SonarQube for IDE helps developers catch issues in code early without requiring additional configuration.
How does SonarQube integrate into Java development workflows?
SonarQube integrates into CI/CD pipelines and pull request workflows to automate Java code reviews. It automatically analyzes branches and pull requests, provides feedback directly in DevOps platform’s pull request comments, and enforces code quality and code security standards using quality gates to prevent substandard code from progressing through the CI/CD pipeline. This helps teams maintain code quality standards seamlessly throughout the development lifecycle.
Does SonarQube support Java frameworks and ecosystems?
Yes, SonarQube supports common Java frameworks and tools used in modern development such as Spring, Struts, and JSP, allowing teams to analyze full applications rather than isolated components. This ensures consistent quality checks across the entire codebase.
What advanced analysis techniques does SonarQube use for Java?
SonarQube uses advanced techniques such as symbolic execution and data flow bug detection to detect complex issues in Java code that are otherwise very difficult to uncover. These methods find deeper bugs and security vulnerabilities that go beyond simple pattern matching tools. The results are presented with context to make them actionable for developers.
Which Java versions are supported by SonarQube?
SonarQube supports Java LTS 8, 11, 17, 21, and all intermediary versions up to 24, allowing teams to analyze both legacy and modern applications. This broad compatibility is important for organizations maintaining diverse codebases and keeping current with modern language constructs. It ensures that teams apply consistent quality standards regardless of Java version and helps developers raise their knowledge to the latest advances Java has to offer.