Try our new research platform with insights from 80,000+ expert users

Cycode vs Snyk comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Aug 21, 2024
 

Categories and Ranking

Cycode
Ranking in Software Composition Analysis (SCA)
19th
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
Static Application Security Testing (SAST) (33rd), Software Supply Chain Security (10th), Application Security Posture Management (ASPM) (4th)
Snyk
Ranking in Software Composition Analysis (SCA)
3rd
Average Rating
8.2
Reviews Sentiment
7.3
Number of Reviews
43
Ranking in other categories
Application Security Tools (4th), Container Security (7th), Software Development Analytics (2nd), DevSecOps (1st)
 

Mindshare comparison

As of November 2024, in the Software Composition Analysis (SCA) category, the mindshare of Cycode is 1.1%, up from 0.5% compared to the previous year. The mindshare of Snyk is 18.0%, up from 17.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Software Composition Analysis (SCA)
 

Featured Reviews

Jayashree Acharyya - PeerSpot reviewer
Used for image scanning and identifying vulnerabilities, but its integration with other services could be improved
The solution has improved or streamlined our process a lot for securing container images. We wanted to make sure we are deploying the secure Docker images. Snyk allowed us to check whether it is following our standard of docker images or not. We use Azure DevOps as our platform, and Snyk's integration with Azure DevOps was okay. However, Snyk's integration with JFrog Artifactory didn't go well. We use JFrog Artifactory to store the artifacts we download. We wanted to integrate Snyk with JFrog Artifactory to scan the binary artifacts we downloaded, but that broke our JFrog Artifactory for some reason. Instead of using it there, we are calling it directly from the pipeline. Snyk's automation features significantly reduced remediation times a couple of times. Sometimes, our developers scan the code from the environment and find some Java vulnerabilities. We fixed those vulnerabilities in the lower environment itself. The solution does not require any maintenance. The accuracy of Snyk's vulnerability detection is pretty good compared to other tools. I rate the solution's vulnerability detection feature an eight out of ten. I would recommend Snyk to other users because it is easy to implement and integrate with Azure DevOps and GitHub. Overall, I rate the solution a seven out of ten.
report
Use our free recommendation engine to learn which Software Composition Analysis (SCA) solutions are best for your needs.
816,406 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
15%
Manufacturing Company
13%
Computer Software Company
10%
Insurance Company
6%
Financial Services Firm
15%
Computer Software Company
15%
Manufacturing Company
9%
Insurance Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

Ask a question
Earn 20 points
How does Snyk compare with SonarQube?
Snyk does a great job identifying and reducing vulnerabilities. This solution is fully automated and monitors 24/7 to find any issues reported on the internet. It will store dependencies that you a...
What do you like most about Snyk?
The most effective feature in securing project dependencies stems from its ability to highlight security vulnerabilities.
What needs improvement with Snyk?
I'm not responsible for the tool. As far as I know, there are no major concerns or features that we lack. We had some issues integrating into our pipeline, however, they were resolved.
 

Comparisons

 

Learn More

Video not available
 

Overview

 

Sample Customers

Information Not Available
StartApp, Segment, Skyscanner, DigitalOcean, Comic Relief
Find out what your peers are saying about Black Duck, Veracode, Snyk and others in Software Composition Analysis (SCA). Updated: November 2024.
816,406 professionals have used our research since 2012.