Jenkins vs. SonarQube

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Jenkins
Score 8.4 out of 10
N/A
Jenkins is an open source automation server. Jenkins provides hundreds of plugins to support building, deploying and automating any project. As an extensible automation server, Jenkins can be used as a simple CI server or turned into a continuous delivery hub for any project.N/A
SonarQube
Score 8.6 out of 10
N/A
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.
$160
per year per installation
Pricing
JenkinsSonarQube
Editions & Modules
No answers on this topic
Community
Free
Developer EDITION
Starts at $160
per year per installation
Enterprise EDITION
Starts at $21,000
per year per installation
Data Center EDITION
Starts at $136,000
per year per installation
Offerings
Pricing Offerings
JenkinsSonarQube
Free Trial
NoYes
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
JenkinsSonarQube
Considered Both Products
Jenkins
Chose Jenkins
We considered using Gitlab, but after some comparing, we found Jenkins was better in every way!
SonarQube
Chose SonarQube
Jenkins and GitLab are not exact alternatives for SonarQube, however, they do provide functionality for running and executing build pipelines for various languages and generating reports. However, they are not extensible, have no integration with IDEs and not suitable for …
Chose SonarQube
SonarQube identifies significant more thing compared to the built-in suggestions in IntelliJ IDEA. The suggestions how to correct issues are also a lot better with SonarQube. IntelliJ IDEA provides great refactoring support to make it easy to refactor the code to solve issues. …
Chose SonarQube
I have used GitHub more that fortify so I am more familiar with GitHub for checking for vulnerabilities. I have noticed GitHub is good for checking different packages within your project but as far as checking code Quality and coverage Sonar is the better one in my opinion. …
Top Pros
Top Cons
Best Alternatives
JenkinsSonarQube
Small Businesses
GitLab
GitLab
Score 8.9 out of 10
GitLab
GitLab
Score 8.9 out of 10
Medium-sized Companies
GitLab
GitLab
Score 8.9 out of 10
GitLab
GitLab
Score 8.9 out of 10
Enterprises
GitLab
GitLab
Score 8.9 out of 10
GitLab
GitLab
Score 8.9 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
JenkinsSonarQube
Likelihood to Recommend
8.2
(69 ratings)
8.8
(34 ratings)
Usability
5.0
(3 ratings)
7.0
(1 ratings)
Performance
8.9
(6 ratings)
-
(0 ratings)
Support Rating
6.6
(6 ratings)
9.0
(1 ratings)
User Testimonials
JenkinsSonarQube
Likelihood to Recommend
Open Source
Jenkins is a highly customizable CI/CD tool with excellent community support. One can use Jenkins to build and deploy monolith services to microservices with ease. It can handle multiple "builds" per agent simultaneously, but the process can be resource hungry, and you need some impressive specs server for that. With Jenkins, you can automate almost any task. Also, as it is an open source, we can save a load of money by not spending on enterprise CI/CD tools.
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Sonar
SonarQube is excellent if you start using it at the beginning when developing a new system, in this situation you will be able to fix things before they become spread and expensive to correct. It’s a bit less suitable to use on existing code with bad design as it’s usually too expensive to fix everything and only allows you to ensure the situation doesn’t get worse.
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Pros
Open Source
  • Automated Builds: Jenkins is configured to monitor the version control system for new pull requests. Once a pull request is created, Jenkins automatically triggers a build process. It checks out the code, compiles it, and performs any necessary build steps specified in the configuration.
  • Unit Testing: Jenkins runs the suite of unit tests defined for the project. These tests verify the functionality of individual components and catch any regressions or errors. If any unit tests fail, Jenkins marks the build as unsuccessful, and the developer is notified to fix the issues.
  • Code Analysis: Jenkins integrates with code analysis tools like SonarQube or Checkstyle. It analyzes the code for quality, adherence to coding standards, and potential bugs or vulnerabilities. The results are reported back to the developer and the product review team for further inspection.
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Sonar
  • 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.
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Cons
Open Source
  • The UI could be slightly better, it feels kind of like the 90s, but it works well.
  • An easier way to filter jobs other than views on the dashboard.
  • An easier way to read the console logs when tests do fail.
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Sonar
  • 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
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Usability
Open Source
While the day to day use is very easy, the configuration and setting up of the system or new projects can be cumbersome.
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Sonar
It can improve in some user experience and usability parts, like the code view and the way we assign issues it's a bit hidden and not highlighted
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Performance
Open Source
No, when we integrated this with GitHub, it becomes more easy and smart to manage and control our workforce. Our distributed workforce is now streamlined to a single bucket. All of our codes and production outputs are now automatically synced with all the workers. There are many cases when our in-house team makes changes in the release, our remote workers make another release with other environment variables. So it is better to get all of the work in control.
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Sonar
No answers on this topic
Support Rating
Open Source
There is a large development community - but it is shifting as people move towards other tools. A lot of companies still use Jenkins and will build propriety tools, which doesn't help any of the open-source community. Jenkins has a lot of help and support online, but other, more modern, alternatives will have better support for newer tech.
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Sonar
We we easily able to integrate the SonarQube steps into our TFS process via the Microsoft Marektplace, we didn't have the need to call SonarQube support. We've used their online documentation and community forum if we ran into any issues.
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Alternatives Considered
Open Source
Overall, Jenkins is the easiest platform for someone who has no experience to come in and use effectively. We can get a junior engineer into Jenkins, give them access, and point them in the right direction with minimal hand-holding. The competing products I have used (TravisCI/GitLab/Azure) provide other options but can obfuscate the process due to the lack of straightforward simplicity. In other areas (capability, power, customization), Jenkins keeps up with the competition and, in some areas, like customization, exceeds others.
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Sonar
SonarQube is an open-source. It's a scalable product. The costs for this application, for the kind of job it does, are pretty descent. Pipeline scan is more secured in SonarQube. Its a very good tool and its support multiple languages. Its main core competency is of static code analysis and that is why SonarQube exists and it does it exceedingly well. The quality of scan on code convention, best practices, coding standards, unit test coverage etc makes them one of the best competent tool in the market
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Return on Investment
Open Source
  • Faster Time-to-Market: Jenkins automate the build, testing, and deployment process, enabling faster feedback and continuous improvement.
  • Improved Quality: Jenkins automatically run unit tests and integration tests, ensuring that code changes meet the necessary quality standards.
  • Cost Savings: Jenkins is an open-source tool that is free to use
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Sonar
  • Positive ROI from the standpoint of flagging several issues that would have otherwise likely been unaddressed and caused more time to be spent closer to launch
  • Slightly positive ROI from time-saving perspective (it's an automated check which is nice, but depending on the issues it finds, can take developers time to investigate and resolve)
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ScreenShots

SonarQube Screenshots

Screenshot of Application Status.Screenshot of Portfolio Overview.Screenshot of Taint Analysis.