Overview
What is SonarQube?
SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code.
SonarQube: The mandatory tool to elevate your code quality quality
Code Quality is a Must!
Sonarqube - The ultimate tool for end to end code analysis
SonarQube, you don't need to search more!
SonarQube- A perfect QC for Reviewers
SonarQube: Helper of Dev and organisation for better code quality and security practices.
Easy to use DecSecOps application
SonarQube - solid static code analysis tool
Easy to use DevSecOps tool
Let the SonarQube guide your devs towards a better future.
Cost effective way to find and correct issues early
Don't Skip Static Analysis with Sonar!
SonarQube your free & friendly DevSecOps tool
SonarQube Must in Code Pipeline
SonarQube: A great solution for code quality management and analysis
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Reviewer Pros & Cons
Pricing
Community
Free
Developer EDITION
Starts at $150
Enterprise EDITION
Starts at $20,000
Entry-level set up fee?
- No setup fee
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting / Integration Services
Product Demos
Understanding Issues with Multiple Locations
Lightning fast SonarQube analysis with Jenkins
GitHub: Block the Merge of a Pull Requests
Product Details
- About
- Integrations
- Competitors
- Tech Details
- Downloadables
- FAQs
What is SonarQube?
SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code. SonarQube integrates into the developers' CI/CD pipeline and DevOps platform to detect and help fix issues in the code while performing continuous inspection of projects.
Supported by the Sonar Clean as You Code methodology, only code that meets the defined quality standard can be released to production. SonarQube analyzes the most popular programming languages, frameworks, and infrastructure technologies and supports over 5,000 Clean Code rules.
Sonar states that SonarQube is used by7 million developers and 400,000 organizations globally to clean more than half a trillion lines of code.
SonarQube Features
- Supported: Clean Code
- Supported: Developer workflow integration
- Supported: Clear go/no-go Sonar Quality Gates
- Supported: 30+ languages, frameworks & IaC platforms
- Supported: High operability
- Supported: Fast analysis
- Supported: Critical security rules for vital languages
- Supported: Shared, unified configurations
- Supported: IDE integration
SonarQube Screenshots
SonarQube Video
SonarQube Integrations
SonarQube Competitors
SonarQube Technical Details
Deployment Types | On-premise, Software as a Service (SaaS), Cloud, or Web-Based |
---|---|
Operating Systems | Windows, Linux, Mac, Cloud |
Mobile Application | No |
Supported Countries | Global |
Supported Languages | Community localization plugins support several languages. |
SonarQube Downloadables
Frequently Asked Questions
Comparisons
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Reviews and Ratings
(86)Attribute Ratings
Reviews
(1-25 of 34)SonarQube: The mandatory tool to elevate your code quality quality
- Code complexity detection
- Code smell detection
- Provides good default rules
- Huge language support
- Easy setup
- Easy integration with common build tools
- Great fix proposals, and issues description
- It doesn't provide automatic pull request with fixes
- It doesn't provide insights about the libraries of the projects
- The administration management user interface could be simplified
- It doesn't provide an order to fix issues, like archives with more and frequent commits have top priority
- The default rules "Sonar Way" are pretty good and provide good insights
- I consider it a mandatory tool for any serious project.
- You can use offline tools like error-prone, spotbugs, or PMD, but Sonar analysis is more complete and it has more features.
Code Quality is a Must!
- Ongoing code quality management
- Increase developer skills.
- Detect and report problems.
- Scale with business needs
- Optimize the quality
- it is sustainable
- The main “disadvantage” is code maintenance, being more expensive, it also takes more time, as well as producing “false positives”.
In addition, it performs a calculation of the technical debt. It can be used in any scenario.
In order to use SonarQube, you need to install a server component, where the engine that performs the analysis and stores the results is located, and the analysis must be invoked in some way, which can be done with a client called SonarQube Scanner.
You can also integrate the analysis into the IDE you are using, with a plugin called SonarLint!.
Sonarqube - The ultimate tool for end to end code analysis
- Easy integration with all coding languages
- Plugin integration ensures easy extensibility
- Detects code smells and vulnerabilities
- Generate test coverage reports
- Custom quality gates to ensure no bad code is merged
- Learning curve is steep
- Report generation is often very time consuming
- Works particularly well for Java, but not so good for Python and R
- Initial setup is quite complicated
SonarQube, you don't need to search more!
- Easily setup quality gate for code analysis and tests.
- Quick reports for vulnerabilities and good practices.
- Easy setup of vulnerabilities level requirements.
- Credentials manager, like managing users, groups and permissions is complex.
- UI for code review can be improved, feels old but is useful nonetheless.
- The ticket management system can also be improved.
SonarQube- A perfect QC for Reviewers
- You can set your own rules for almost all the languages
- Most of the rules are already defined you just need to use them
- It helps us on Security aspects too.
- you can place a gate on Code coverage too.
- UI part of reporting needs more improvement.
- Simple tooltips can be there for the users to understand better instead of reading documents.
- For report extraction in Excel or Pdf you need Enterprise version
SonarQube: Helper of Dev and organisation for better code quality and security practices.
- Static Code Scanning
- Code Coverage reports, User Friendly Dashboard
- Integration with various tools in order to maintain code quality
- Pre-built as well as Custom Quality Gates
- Detect Bugs & Vulnerabilities, Review Security Hotspots, Track Code Smells
- Also has many plugins to interact with
- As in SonarQube community edition they should enable the after scanning report generation
- other security reports like, vulnerability with preferred solution
- Guide on scalability, backups, resiliency as well
- small report type UI on other tools as well like Jenkins
Easy to use DecSecOps application
- Automatic code analysis
- Checking Security vulnerabilities
- Easy integration with devops applications
- Need more examples for different programming language codes
- Better documentation
- Easy to Integrate with different DevOps platforms for CI/CD automation
- To detect application security vulnerabilities
- For automation static code checks / analysis in order to detect bugs
- Can be used for variety of programming language applications
Improvement areas:
- Better documentation
- More programming language specific examples
SonarQube - solid static code analysis tool
- Works well with .Net
- Has a nice extension that allows us to run it in our IDE (visual studio)
- Is customizable in the sense that you can write your own rule set that you want SonarQube to analyze the code against
- Often it finds errors that aren't really errors that have impact, takes a lot of time to sort through those cases
- It's a good screener, but by no means can it catch all bugs or be the sole predictor of code quality, so the metrics that it provides need to be caveated when reporting to leadership, etc
Easy to use DevSecOps tool
- code analysis
- code smell detection
- security issues with code
- syntax highlighting for different languages
- Setup steps can be explained a bit better
It clearly segregates issues under Reliability, Security and Maintainability buckets.
It also suggests solutions to fix issues with the code with up to date standards.
Let the SonarQube guide your devs towards a better future.
- Gives advice on coding practices
- Rates our code over time
- Highlights worst offending code to make prioritization easier
- Helps improve our code over time
- Notifications based on findings needs a lot of work. Options are extremely basic so far.
- Integration of Dependency Check is very basic and could use some UX love.
- Making it easier to turn down the noise of problems so teams can focus on the highest priority first without getting bogged down.
Cost effective way to find and correct issues early
- Identify bugs in code
- Identify bad design choices in the code
- Give suggestions how to solve bad design choices
- Could provide more configuration templates for suitable warning levels
- Improved possibility to escalate repeated errors to architects and management
- Easy way to deactivate a warning in a specific file
Don't Skip Static Analysis with Sonar!
- Scanning source code for a defined set of quality gates and rules
- Reporting security issues with static scans
- Managing portfolios application in the enterprise edition
- The scanner is a bit heavy and can be rewritten in a lighter language (like Go or rust)
- Scans can take a bit of time
- Some languages like C++ are much harder to scan than others
SonarQube your free & friendly DevSecOps tool
SonarQube is easy to use once installed and recently we've been using the cloud version (SonarCloud) even easier to integrate with our current tools and infrastructure.
- SAST
- DEVSECOPS
- BUGS
- SECURITY BEST PRACTICES
- Not easy to install
- No support on free version
- Community Support
SonarQube Must in Code Pipeline
- For finding the code smell
- For finding the code threat
- Helping in improving code quality
- Mandate to follow best practices
- some code smell identification algo can be improved
- Best practices should be upto date
Common use cases for SonarQube include:
- Identifying and fixing bugs and vulnerabilities in code
- Improving code readability and maintainability
- Increasing code coverage and testing
- Measuring code quality and compliance with industry standards
- Keeping track of technical debt
- Detecting bugs and vulnerabilities: SonarQube can identify a wide range of bugs and vulnerabilities in code, such as null pointer exceptions, SQL injection, and cross-site scripting (XSS) attacks. It uses static analysis to analyze the code and identify potential issues, and it can also integrate with dynamic analysis tools to provide even more detailed analysis.
- Measuring code quality: SonarQube can measure a wide range of code quality metrics, such as cyclomatic complexity, duplicated code, and code coverage. This can help teams understand the quality of their code and identify areas that need improvement.
- Providing actionable insights: SonarQube provides detailed information about issues in the code, including the file and line number where the issue occurs and the severity of the issue. This makes it easy for developers to understand and address issues in the code.
- Integrating with other tools: SonarQube can be integrated with a wide range of development tools and programming languages, such as Git, Maven, and Java. This allows teams to use SonarQube in their existing development workflow and take advantage of its powerful code analysis capabilities.
- Managing technical debt: SonarQube provides metrics and insights on the technical debt on the codebase, enabling teams to better prioritize issues to improve the quality of the code.
- Compliance with coding standards: SonarQube can check the code against industry standards like OWASP, CWE and more, making sure the code is compliant with security and coding standards.
- Complexity of setup and configuration: SonarQube can be quite complex to set up and configure, especially for organizations that have a large codebase or use a variety of different programming languages. This can make it difficult for teams to get started with the tool and may require specialized expertise.
- Limited support for certain languages: While SonarQube supports a wide range of programming languages, it may not have full support for some languages, particularly newer or less common languages. This can limit the tool's usefulness for teams that use these languages.
- Lack of integration with certain development tools: While SonarQube can be integrated with a wide range of development tools, it may not have integration with certain IDEs or build tools. This can make it difficult for teams to use SonarQube in their existing development workflow.
- False-positive and False-negative issues: As with any static code analysis tool, SonarQube can generate a number of false positives, where it reports an issue that is not actually a problem, or false negatives, where it fails to report an issue that is actually a problem. This can make it difficult for teams to trust the tool's analysis results and may require manual review.
- Limited scalability: For large codebase, SonarQube's performance and scalability can be an issue. It may take longer for the analysis to finish and the results may not be as accurate.
- Limited collaboration capabilities: While SonarQube allows teams to view and track code quality issues, it has limited capabilities to collaborate and discuss those issues.
- Large codebase: The tool's static analysis capabilities can help teams quickly identify and fix bugs, vulnerabilities, and code smells in large codebases.
- Compliance and security: The tool can check the code against industry standards or regulations, such as OWASP and CWE, and identify any issues that need to be addressed.
- Agile development: SonarQube can be integrated with CI/CD pipelines allowing teams to continuously monitor and improve code quality throughout the development process.
- Teams using multiple languages: Teams that use multiple programming languages can benefit from using SonarQube, as the tool supports a wide range of languages and can be integrated with a variety of development tools.
Scenarios where SonarQube may be less appropriate:
- Small codebase: Organizations with a small codebase may not see the full benefits of using SonarQube, as the tool's static analysis capabilities may be overkill for a smaller codebase.
- Limited resources: Organizations with limited resources may find it difficult to set up and configure SonarQube, as the tool can be complex and may require specialized expertise.
- Limited integration: Organizations that use development tools or IDEs that are not supported by SonarQube may find it difficult to integrate the tool into their existing development workflow.
- Limited scalability: Large organizations with millions of lines of code may find SonarQube's performance and scalability to be an issue. It may take longer for the analysis to finish and the results may not be as accurate.
Great Code Analysis Tool
- Static code analysis
- Code best practices
- Quality profile selection
It is also useful to create custom Quality Profiles to educate new developers that join the company.
SonarQube to make your project secure
- Code coverage
- Shows potential fixes
- Speed
- Sometimes the messages can be long and for someone's first time seeing this it can be hard to find what to look for
- Sometimes potential fixes are not available
- Documentation on setting up with Jenkins was hard to follow at some parts
Quick and easy static analysis and bug detection
- Standardized scanning tools to make sure code doesn't use obvious code smells
- Enfrocement of standardized naming conventions in code
- Identification of potentially needlessly complicated code
- Identify code smells
- Low level bugs
- Basic static analysis
- Reports can take a bit of time
- Custom rules can be a bit annoying to setup
- Static analysis
- Code coverage
- Code smells
- Configuration management
- Reporting
- Rules deactivation flexibility
SonarQube review by a Hybris Developer
One business problem I mostly faced was that if we had run the server once, and tried to run it again if we closed it, then it does not run and closes automatically. To run the server again we have to restart the system, then only it works, so those issues can be resolved.
The scope of my case is to generate the code quality report for the codebase in our project according to the custom quality profile we add in SonarQube.
- Generating code quality report
- Calculates junit coverage of the codebase very efficiently and precisely
- Highlights the bugs and vulnerabilities in our codebase
- Informs the user of the improvements which can be done to the code to make it cleaner
- SonarQube also suggests remediation and resolution of the problems it highlights
- Importing a new custom quality profile on SonarQube is a bit tricky, it can be made easier
- Every second time when we want to rerun the server, we have to restart the whole system, otherwise, the server stops and closes automatically
- When we generate a new report a second time and try to access the report, it shows details of the old report only and takes a lot of time to get updated with the details of the new and fresh report generated
SonarQube, the best choice for a Static Code Analysis tool leveraging application security at large
It being used in our Azure devops Continuous Integration pipeline to identify the vulnerabilities in code and provides detailed issue descriptions and code highlights that explain why your code is at risk.
- Identify Security Vulnerabilities and highlights the code
- Highlight suspicious code snippets that developers should review
- Providing security feedback during code review
- Identify technical debts in code
- The community version have some issues, example Integrating with Azure or Single Sign On
- Automation scripts can be improved. At times you have to configure some of the rules in the detection
- It takes time to configure and create profiles
Using SonarQube professionally for more than 7 years and fully recommend it to any Software Engineer
- Static Code Analysis
- Security Vulnerabilities Scan
- Multi software language support
- Configurable quality gates for PR analysis
- Better IDE integration and support
- Easier GitHub actions integration and support
- Better support and integration for dynamic code analysis during automated tests
Code Quality Improvements Made Easy
- Easy to Use
- Code Quality Improvements
- Code Suggestions
- Lacks custom rule sets
- Expensive
- Smaller / Less active user community
SonarQube wins!
- Static code analysis
- Code coverage
- Scan security vulnerability
- Technical support
- Better documentation
- Scan for third party tools
An important tool to implement Secure SDLC practices
- Customizable Ruleset
- Support multiple programming stacks
- Ease of integration with multiple CI/CD tools
- Admin Portal could have more usability
- Enhanced Reporting
- More live examples and samples