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Checkmarx One vs Query.ai comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Checkmarx One
Ranking in AI Security
1st
Average Rating
7.8
Reviews Sentiment
6.6
Number of Reviews
81
Ranking in other categories
Application Security Tools (2nd), Static Application Security Testing (SAST) (2nd), Vulnerability Management (16th), Container Security (15th), Static Code Analysis (2nd), API Security (4th), Dynamic Application Security Testing (DAST) (2nd), DevSecOps (2nd), Risk-Based Vulnerability Management (10th), Application Security Posture Management (ASPM) (3rd)
Query.ai
Ranking in AI Security
119th
Average Rating
8.0
Reviews Sentiment
4.3
Number of Reviews
3
Ranking in other categories
Security Analytics (6th), AI Data Analysis (23rd)
 

Mindshare comparison

As of May 2026, in the AI Security category, the mindshare of Checkmarx One is 2.0%, down from 14.3% compared to the previous year. The mindshare of Query.ai is 0.4%. It is calculated based on PeerSpot user engagement data.
AI Security Mindshare Distribution
ProductMindshare (%)
Checkmarx One2.0%
Query.ai0.4%
Other97.6%
AI Security
 

Featured Reviews

Shahzad Shahzad - PeerSpot reviewer
Senior Solution Architect | L3+ Systems & Cloud Engineer | SRE Specialist at Canada Cloud Solution
Enable secure development workflows while identifying opportunities for faster scans and improved AI guidance
Checkmarx One is a very strong platform, but there are several areas where it can improve to support modern DevSecOps workflows even better. For example, better real-time developer guidance is needed. The IDE plugin should offer richer AI-powered auto-fixes similar to SNYK Code or GitHub Copilot Security, as current guidance is good but not deeply contextual for large-scale enterprise codebases. This matters because it reduces developer friction and accelerates shift-left adoption. More transparency control over the correlation engines is another need. The correlation engine is powerful but not fully transparent. Users want to understand why vulnerabilities were correlated or de-prioritized, which helps AppSec teams trust the prioritization logic. Faster SAST scan and more language coverage is needed since SAST scan can still be slow for very large mono-repos and there is limited deep support for new language frameworks like Rust and Go, along with advanced coverage for serverless-specific frameworks. This matters because large organizations want sub-minute scans in CI/CD as cloud-native ecosystems evolve fast. A strong API security module is another area for enhancement. API security scanning could be improved with active testing, API discovery, full Swagger, OpenAPI, drift detection, and schema-based fuzzing. This is important as API attacks are one of the biggest AppSec risks in 2025. Checkmarx One is strong, but I see a few areas for improvement including faster SAST scanning for large mono-repos, deeper language framework support, more transparent correlation logic, and stronger API security that includes discovery and runtime context. The IDE plugin could offer more AI-assisted fixes, and the SBOM lifecycle tracking can evolve further. Enhancing integration with SIEM and SOAR would also make enterprise adoption smoother, and these improvements would help developers and AppSec teams move faster with more accuracy.
reviewer2834415 - PeerSpot reviewer
DevSecOps engineer at a financial services firm with 10,001+ employees
Query automation has reduced investigation time and frees our team to focus on complex DevOps tasks
The best features Query.ai offers make anything with queries much easier, and it ensures that it is very optimistically correct with whatever it is doing. It also delivers access throughout real-time and historical data, making it really quick and fast to act upon. The real-time and historical data access from Query.ai helps me in my work by allowing me to go through queries quicker, so even if there are errors anywhere, detection happens pretty fast. Because it is on automation and the investigation is done really quickly, it saves a lot of my time. Query.ai has positively impacted my organization by being very appreciative for what it has done and how there is lesser work task on ourselves, and we could be focusing on more things because as DevOps, we have a lot of work. The reduction in workload due to Query.ai has made things easier, especially every time we need to investigate why an SQL query is not loading or if it is duplicating. It is especially effective during access management to either provision or de-provision access for users.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The setup is fairly easy. We didn't struggle with the process at all."
"Checkmarx One has definitely helped us to save time and reduce the need for additional security resources, meaning employees."
"The most valuable feature is that it actually identifies the different criteria you can set to meet whatever standards you're trying to get your system accredited for."
"Providing the scanning ability that shows the errors at the source code level is critical to have effective development of any critical application."
"The product's most valuable feature is static code and supply chain effect analysis. It provides a lot of visibility."
"The most valuable features are the easy to understand interface, and it 's very user-friendly."
"We have used this product to verify the dev department's code in order to minimize security holes."
"The license is fairly costly but worth the investment."
"Query.ai has positively impacted my organization by being very appreciative for what it has done and how there is lesser work task on ourselves, and we could be focusing on more things because as DevOps, we have a lot of work."
"Time saving and accuracy are the main benefits; in my data mart and data lakes project, Query.ai has been very useful, with all transformations automated, which had a huge impact on our entire project."
"Query.ai helps reduce costs and improve security in my organization, though I do not have the actual numbers, but the impact was significant."
 

Cons

"Unfortunately, Checkmarx doesn't do any automated backups which is quite inconvenient."
"Checkmarx One can be improved on the side of faster scans, especially when our CI pipelines are scanning for vulnerabilities."
"The lack of ability to review compiled source code. It would then be able to compete with other scanning tools, such as Veracode."
"I expect application security vendors to cover all aspects of application security, including SAST, DAST, and even mobile application security testing."
"Checkmarx could be improved with more integration with third-party software."
"The resolutions should also be provided. For example, if the user faces any problem regarding an installation due to the internal security policies of their company, there should be a resolution offered."
"Checkmarx isn't accredited by the US government for DOD networks, so we've been forced to remove it from the network."
"Creating and editing custom rules in Checkmarx is difficult because the license for the editor comes at an additional cost, and there is a steep learning curve."
"Query.ai performs well, but there are other software options that do auditing a little better."
"I felt the pricing is somewhat higher."
"Probably Query.ai could be a little more optimized, but it is good."
 

Pricing and Cost Advice

"The number of users and coverage for languages will have an impact on the cost of the license."
"We have purchased an annual license to use this solution. The price is reasonable."
"It is not expensive, but sometimes, their pricing model or licensing model is not very clear. There are similar variables, such as projects or developers, and sometimes, it is a little bit confusing."
"The pricing is competitive and provides a lower TCO (total cost of ownership) for achieving application security."
"The solution is costly."
"The average deal size was usually anywhere between $120K to $175K on an annual basis, which could be divided across 12 months."
"Before implementing the product I would evaluate if it is really necessary to scan so many different languages and frameworks. If not, I think there must be a cheaper solution for scanning Java-only applications (which are 90% of our applications)."
"It's relatively expensive."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Manufacturing Company
9%
Computer Software Company
8%
Government
5%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business32
Midsize Enterprise9
Large Enterprise46
No data available
 

Questions from the Community

What alternatives are there for Fortify WebInspect and Fortify SCA?
I would like to recommend Checkmarx. With Checkmarx, you are able to have an all in one solution for SAST and SCA as well. Veracode is only a cloud solution. Hope this helps.
What is your experience regarding pricing and costs for Checkmarx?
Checkmarx One is a premium solution, so budget accordingly. Make sure you understand how licensing scales with additional applications and users. I advise negotiating multi-year contracts or bundle...
What needs improvement with Checkmarx?
One way Checkmarx One could be improved is if it could automatically run scans every month after implementation. If it is possible to set it in the SAST portal to scan the repositories automaticall...
What is your experience regarding pricing and costs for Query.ai?
My experience with pricing, setup cost, and licensing was good. I felt the pricing is somewhat higher.
What needs improvement with Query.ai?
I think integrating some LLM would be good because nowadays AI has a very huge impact. Additionally, I think it would be good if you add Amazon QuickSight for the reporting functionality.
What is your primary use case for Query.ai?
My main use case for Query.ai is connecting to data lakes and data marts using Amazon S3. I have been connecting my data to Query.ai data lakes and data marts while doing some transformation, creat...
 

Comparisons

 

Overview

 

Sample Customers

YIT, Salesforce, Coca-Cola, SAP, U.S. Army, Liveperson, Playtech Case Study: Liveperson Implements Innovative Secure SDLC
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Find out what your peers are saying about Checkmarx One vs. Query.ai and other solutions. Updated: April 2026.
894,738 professionals have used our research since 2012.