We performed a comparison between Black Duck and CAST Highlight 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."We didn't have a central inventory to quickly identify issues or determine how many products were affected. Now under Black Duck, it's all consolidated. You search for a component and immediately see which products use it."
"Policy management is a valuable feature."
"We accidentally use third-party library APIs, which may not be secure. Our technical team may not have the end time or expertise to figure it out. Black Duck helps us with that and saves us time."
"The installation is very easy."
"The solution is very good at scanning and evaluating open source software."
"The UI is the solution's most valuable feature since it allows for easy pipeline integration."
"The solution is stable."
"I like the fact that the product auto analyzes components."
"The most valuable features of CAST Highlight are automation and speed."
"It offers good performance."
"CAST Highlight is easy to use and has a good dashboard."
"The most valuable features of the CAST Highlight are the interface and there are three notations that are very simple to understand and communicate with."
"The way it tells you which codebase is more ready for the cloud and which codebase is less ready is very valuable. It works seamlessly with most languages."
"The tool needs to improve its pricing. Its configuration is complex and can be improved."
"The initial setup could be simplified. It was somewhat complex."
"We're not too sure about the extension of the firewall. It never shows up in the Hub."
"The solution's pricing model and documentation areas of concern where improvement is needed."
"Black Duck can improve the time it takes for a scan. Most of the time it's not ideal when integrated with the live DevSecOps pipeline. We have to create a separate job to scan the library because it takes a couple of hours to scan all those libraries. The scanning could be faster."
"I would like to see more integration with other solutions, such as IntelliJ IDEA."
"The scanner client is limited by the size of software it can handle."
"It needs to be more user-friendly for developers and in general, to ensure compliance."
"Its price should be better. It is a pretty costly tool. They have two products: CAST Highlight and CAST AIP. I would expect CAST Highlight to have the Help dashboard and the Engineering dashboard. These dashboards are currently a part of CAST AIP, and if these are made available in CAST Highlight, customers won't have to use two different products all the time."
"There's a bit of a learning curve at the outset."
"CAST Highlight could improve to allow us to comment and do a deep analysis by ourselves."
"The reports that describe the issues of concern are rather abstract and the issues should be more clearly described to the user."
"The ease of configuration and customization could be improved in CAST Highlight."
Black Duck is ranked 1st in Software Composition Analysis (SCA) with 19 reviews while CAST Highlight is ranked 10th in Software Composition Analysis (SCA) with 5 reviews. Black Duck is rated 7.8, while CAST Highlight is rated 7.8. The top reviewer of Black Duck writes "Enables applications to be secure, but it must provide more open APIs". On the other hand, the top reviewer of CAST Highlight writes "Easy to set up with optimized and automated insights". Black Duck is most compared with Snyk, Fortify Static Code Analyzer, JFrog Xray, Mend.io and Sonatype Repository Firewall, whereas CAST Highlight is most compared with SonarQube, Snyk, Veracode, Checkmarx One and GitLab. See our Black Duck vs. CAST Highlight 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.