We performed a comparison between GitLab and JFrog Xray based on real PeerSpot user reviews.
Find out in this report how the two Software Composition Analysis (SCA) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The solution's most valuable feature is that it is compatible with GitHub. The product's integration capabilities are sufficient for our small company of 35 people."
"GitLab is kind of an image of GitHub, so it gives us the flexibility to monitor our changes in the repos."
"I have had no problem with the stability of the solution."
"Key features allow creation of well-presented Wiki that includes ideas, development, and domains."
"The stability is good."
"We're only using the basic features of GitLab and haven't used any advanced features. The solution works fine, so that's what we like about GitLab. We're party using GitHub and GitLab. We have a GitHub server, while we use GitLab locally or only within our team, and it works okay. We don't have any significant problems with the solution. We also found the straightforward setup, stability, and scalability of GitLab valuable."
"I have found the most valuable features of GitLab are the GitClone, GitPush, GitPull, GitMatch, GitMit, GitCommit, and GitStatus."
"GitLab's best feature is Actions."
"I would say that this solution has helped our organization by allowing us to automate a lot of the processes."
"The most valuable feature of JFrog Xray is the display of the entire internal dependencies hierarchy."
"Good reporting functionalities."
"JFrog Xray shows us a list of vulnerabilities that can impact our code."
"The solution is stable and reliable."
"If multiple dependencies and vulnerabilities are found in a project, JFrog Xray is intelligent enough to tell you which vulnerability to target first."
"JFrog Xray's reporting feature has a lot of options in it, including scanning."
"We'd like to see better integration with the Atlassian ecosystem."
"The documentation could be improved to help newcomers better understand things like creating new branches."
"Reporting could be improved."
"When deploying the solution on cloud and the CI/CD pipeline, we have to define the steps and it becomes confusing."
"The price of GitLab could improve, it is high."
"The user interface could be more user-friendly. We do most of our operations through the website interface but it could be better."
"The solution does not have many built-in functions or variables so scripting is required."
"Perhaps the integration could be better."
"JFrog Xray's documentation and error logging could be improved."
"Since we have been using the solution via APIs, there are some limitations in the APIs."
"The speed of JFrog Xray should improve. Other solutions have better performance."
"JFrog Xray does not have a dashboard."
"Reporting is crucial, but it is lacking in the current tool. Every organization seeks specific data points rather than general information. Therefore, we require customized reports from the Xray tool."
"Lacks deeper reporting, the ability to compare things."
"I think that the user interface should be expanded to provide customers with a better dashboard for reviewing their feedback regarding their images and the vulnerabilities that are associated with the images."
GitLab is ranked 6th in Software Composition Analysis (SCA) with 70 reviews while JFrog Xray is ranked 7th in Software Composition Analysis (SCA) with 7 reviews. GitLab is rated 8.6, while JFrog Xray is rated 8.2. The top reviewer of GitLab writes "Powerful, mature, and easy to set up and manage". On the other hand, the top reviewer of JFrog Xray writes "An intelligent solution that prioritizes which vulnerability to target first in your project". GitLab is most compared with Microsoft Azure DevOps, SonarQube, Bamboo, AWS CodePipeline and Tekton, whereas JFrog Xray is most compared with Black Duck, Snyk, Mend.io, Veracode and CoreOS Clair. See our GitLab vs. JFrog Xray report.
See our list of best Software Composition Analysis (SCA) vendors.
We monitor all Software Composition Analysis (SCA) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
