Likelihood to Recommend
It works at scale and a large number of accessible pipelines for searching, repository updates and indexing will become easier. JFrog provides end-to-end solutions for all DevOps needs. With this, Jfrog Artifactory specifically implements the management of highly available repositories, with a smooth interface and integration with all the main CI tools on the market.
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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.
Read full review Pros Artifactory Management acting as a repository manager of docker images, application and component dependencies Automate pipelines and thereby releasing changes faster Supports high availability and scalability with multi site replication Read full review 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. Read full review Cons We can always use support for more different types of packages in Artifactory. We also would like to see the Artifactory X-Ray produce continue to mature. Read full review 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 Read full review Usability
The main problem that seems intractable is getting the checksum of the artifact. Managing container artifacts is a game changer for us during project execution, as the container artifact type exposes all base image and Docker file steps. This makes debugging or analysis easier. Jfrog Artifactory provides promotion feature and can automated from one environment repo to another environment repo before the deployment occurs.
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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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Support tickets take days to respond. The most basic of questions that should be knocked out in a few hours don't get answers for days. Tickets are also closed without resolution.
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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.
Read full review Alternatives Considered
JFrog Artifactory has a much more friendly GUI, making package exploration less of a chore to do. Other than that, their features are pretty much comparable to each other. Both support multiple types of packages; both have API that can integrate well with CI/CD pipelines.
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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
Read full review Return on Investment So many times it happens at the time of dependency resolution some of the servers are down e.g NPM, Maven central, PiPy in that cause our builds starts failing. By proxying these repositories with JFrog this is never happened again. It reduced the additional cost of container image registry and management effort. Support of integration with Build, Monitoring, and CI tools resulted in smooth automation and management. Read full review It helps to develop our application feature within the SLA It helps to develop premium standard of application by using it features It helps to save our time and effort to develop the code which can be utilised in another task Read full review ScreenShots