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SonarQube has proven to be invaluable for software engineering companies looking to ensure code quality and prevent the release of faulty …
Starting at $160 per year per installation
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What is SonarQube?
SonarQube is a code quality and vulnerability solution for development teams that integrates with CI/CD pipelines to ensure the software you produce is secure, reliable, and maintainable.
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Free
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Starts at $160
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per year per installation
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Starts at $21,000
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per year per installation
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Starting price (does not include set up fee)
- $160 per year per installation
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What is SonarQube?
SonarQube is a self-managed open-source platform that helps developers create code devoid of quality and vulnerability issues. By integrating with DevOps platforms in the Continuous Integration (CI) pipeline, SonarQube continuously inspects projects across multiple programming languages, providing immediate status feedback while coding. SonarQube’s quality gates become part of the release pipeline, displaying pass/fail results for new code based on quality profiles that can be customized to a company's standards. Following Sonar’s Clean as You Code methodology guarantees that only software of the highest quality makes it to production. At its core, SonarQube includes a static code analyzer that identifies bugs, security vulnerabilities, hidden secrets, and code smells. The platform guides the user through issue resolution, fostering a culture of continuous improvement. SonarQube’s reporting helps dev teams to monitor their codebase's overall health and quality across multiple projects in their portfolio. UltimatelySonarQube aims to enable users to achieve a state of Clean Code, leading to secure, reliable, and maintainable software.
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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. |
Frequently Asked Questions
SonarQube is a code quality and vulnerability solution for development teams that integrates with CI/CD pipelines to ensure the software you produce is secure, reliable, and maintainable.
SonarQube starts at $160.
The most common users of SonarQube are from Enterprises (1,001+ employees).
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TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!
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SonarQube has proven to be invaluable for software engineering companies looking to ensure code quality and prevent the release of faulty software. Users have utilized SonarQube for a wide range of use cases, including generating code quality reports, detecting bugs, vulnerabilities, and code smells, and analyzing code coverage for JUnit tests. The software serves as a static application security tool, helping to identify and fix security issues and vulnerabilities in code. It is seamlessly integrated into Azure DevOps Continuous Integration pipelines, providing detailed issue descriptions and code highlights to identify vulnerabilities. With its comprehensive analysis of the codebase, SonarQube helps in enforcing good practices and preventing bugs, serving as a quality gate for software development. By utilizing static code analysis, SonarQube helps developers create bug-free code and detect vulnerabilities early on, saving valuable time in the development process. Additionally, SonarQube aids in maintaining code quality, improving coding structure, and ensuring code reliability and security. Beyond these primary use cases, users have found value in using SonarQube to check code coverage, follow coding suggestions, manage technical debt, monitor unit test coverage for C++ projects, track bugs and code quality while the security team focuses on vulnerability scanning, and adhere to industry standards. Its customization options allow users to tailor the rules to their specific needs and enable toll-gating to prevent bad code from reaching production. The plugin-based framework of SonarQube ensures extensibility for new use cases and has been highly regarded by users who find it easy to integrate with existing tools and infrastructure. Whether it's identifying design flaws before committing or merging code or tracking legacy code issues and offering solutions for improvement, SonarQube plays a crucial role in improving the overall quality of software development projects across various industries.
Efficient and Precise Code Quality Reports: Multiple users have praised SonarQube for its highly efficient and precise code quality reports. This feature has allowed them to gain a comprehensive understanding of their code's quality, identify areas for improvement, and enhance the overall quality of their code.
Detection of Bugs and Vulnerabilities: Reviewers have found SonarQube's ability to highlight bugs and vulnerabilities in the codebase to be a valuable asset. This feature has helped them identify potential issues early on, enabling them to take proactive measures to improve the code's quality and security.
Valuable Code Remediation Suggestions: Many users have expressed appreciation for SonarQube's suggestions for code remediation and resolution. These suggestions have proven extremely valuable in helping them make their code cleaner, more maintainable, and ultimately improving long-term code quality.
Tricky Importing of Custom Quality Profile: Reviewers have found that importing a new custom quality profile on SonarQube can be challenging and tricky, causing frustration during the setup process.
Inconvenient Server Restart Requirement: Some users have reported the inconvenience of having to restart the server every second time in order to rerun it, which disrupts their workflow and wastes time.
Slow Report Generation and Updating: Several reviewers have mentioned that generating a new report on SonarQube takes a significant amount of time. Additionally, they have experienced delays in updating the details of the new report, as it continues to display information from previous reports instead.
Based on user feedback, here are the most common recommendations for using SonarQube:
Consider using SonarQube if your team size is above 10. For smaller groups, it is recommended to use the community version or integrate Sonarlint with IDE for free.
Integrate SonarQube with CI servers like Cloudbees and Jenkins, as well as version control and testing tools like UFT. This will make the development process smoother and more efficient.
Leverage SonarQube's features, such as code coverage analysis, testing, and code health monitoring. Users find these features valuable for understanding code conventions, maintaining code quality, and identifying security issues or code smells in applications.
Attribute Ratings
Reviews
(1-14 of 14)Companies can't remove reviews or game the system. Here's why
February 06, 2023
SonarQube: The mandatory tool to elevate your code quality quality
We use SonarQube to analyze our codebase, the main goals are detection of code smells, security vulnerabilities, and performance issues, also to measure our test coverage. It is part of the continuous integration process. We perform analysis in different languages like Java, JavaScript, Typescript, and Python. We are planning to include new ones, like scala and PHP.
- 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
January 26, 2023
SonarQube, you don't need to search more!
It's used as a quality gate for software development in the feature implementation, as well as a security barrier for bugs and good practices enforcer.
- 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.
January 24, 2023
SonarQube- A perfect QC for Reviewers
We are a product based Company where we are using SonarQube to keep an eye on the Code quality of our all the projects. It really reduced the workload of the reviewers and helped a lot to improved our code quality and efficiency of the project. It helped us a lot where we can define our own set of rules in all the languages. It has helped us to identify the static code which reduced our deployment efforts.
- 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
January 20, 2023
Easy to use DecSecOps application
SonarQube is a freeware used for checking security vulnerabilities, inspection of automatic code quality checks and for CI/CD automation. In our organization we used this application as an integrated service plugin with Microsoft Azure's DevOps for CI/CD automation. It is very helpful application for inspection of applications developed using a variety of programming languages.
- Automatic code analysis
- Checking Security vulnerabilities
- Easy integration with devops applications
- Need more examples for different programming language codes
- Better documentation
January 19, 2023
Easy to use DevSecOps tool
We use SonarQube to scan our source code whenever we push changes to github. SonarQube helps in identifying code smells and security issues in the code with detailed explanation and intuitive reports.
- code analysis
- code smell detection
- security issues with code
- syntax highlighting for different languages
- Setup steps can be explained a bit better
January 18, 2023
Cost effective way to find and correct issues early
We use SonarQube as a component in our development and continuous integration environment when developing IT systems. The main purpose of our usage is to be able to identify and find bad design choices and mistakes at an early development stage. Developers use it both in their development environment to be able to find things before committing code and also in the CI environment after committing code to a feature branch but before merging it to master branch.
- 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
January 18, 2023
Don't Skip Static Analysis with Sonar!
In my company, we started using the SonarCloud (the SaaS version) a couple of years ago, and then quickly switched for the enterprise edition of SonarQube. This edition offered several governance features that were not available in the other types of Sonar subscription.
Since then, we made automated Sonar scanning mandatory for all projects, integrated directly in our CI/CD pipelines
- 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
The main business problem that SonarQube addresses is ensuing our software is of high quality and free of defects. We use SonarQube to identify and fix issues in our code during development and integration before they become a bigger problem, thus reducing the risk of costly bugs and vulnerabilities.
Common use cases for SonarQube include:
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.
January 18, 2023
Great Code Analysis Tool
It's always best to catch bugs and other code issues as soon as possible, especially when people from different teams and time zones touch the same code. While code reviews are obviously still necessary, SonarQube does filter the code seamlessly so that obvious issues are immediately detected and resolved. In some cases, there is customisation required for the general best practice rules and SonarQube accommodates this.
- Static code analysis
- Code best practices
- Quality profile selection
January 18, 2023
SonarQube to make your project secure
We use Sonar in order to ensure our code is secure. We have used it on APIs and on our Frontend. We have also used the Sonar lint for Android. We have a plug in for our Jenkins account which will check our project code coverage etc in Sonar if this fails then our code cannot go live or merged into master
- 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
January 18, 2023
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
May 08, 2022
SonarQube review by a Hybris Developer
We use SonarQube in our project to basically calculate the code quality report mostly, in that report we test for the bugs, vulnerabilities, code smells, code issues, criticals, blockers, major & minor issues, and also calculate the code coverage of junits. We also set the quality profile which contains the rules which we set according to the rules we follow in our project and on that basis, we generate the junit coverage report.
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.
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
June 20, 2021
SonarQube: The go-to tool for code quality
SonarQube is currently used in silos in our organizations. One of our departments is using it full-time for all their code repositories whereas in the other department we are slowly ramping up from a POC to full-blown organization-wide usage. For us it solves the problems of Code quality, figuring out static code issues, bad coding practices, and mostly enabling toll-gating on our side to prevent bad code from making it to the production environments.
- Ability to provide static code coverage in integration with Jenkins CI/CD pipeline.
- Ability to define custom rule sets, based on our organizational requirements.
- Ability to add custom toll-gating for different applications.
- Enterprise license is very costly.
- Runs only on Java 11.
- Another major issue is the way elastic search is used in Sonarqube, it makes it slightly challenging to run on a cloud environment like AWS.
April 30, 2021
Great tool to keep your code clean
We use SonarQube to scan our code for vulnerabilities and code "smells." SonarQube is wired into our continuous integration software Jenkins, so it scans the code every time a build runs.
- Finding security flaws.
- Finding code that does not follow best practices and standards.
- Looking for code coverage.
- For code "smells" it would be nice to have different levels of issues.
- It could be easier to define policies for different levels of code "smells."
- Prioritize different types of code "smells."