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Jellyfish vs SonarQube comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Feb 8, 2026

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

Jellyfish
Ranking in Software Development Analytics
5th
Average Rating
9.6
Reviews Sentiment
7.5
Number of Reviews
3
Ranking in other categories
No ranking in other categories
SonarQube
Ranking in Software Development Analytics
1st
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
139
Ranking in other categories
Application Security Tools (1st), Static Application Security Testing (SAST) (1st)
 

Mindshare comparison

As of October 2026, in the Software Development Analytics category, the mindshare of Jellyfish is 7.6%, up from 2.8% compared to the previous year. The mindshare of SonarQube is 19.0%, down from 34.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Software Development Analytics Mindshare Distribution
ProductMindshare (%)
SonarQube19.0%
Jellyfish7.6%
Other73.4%
Software Development Analytics
 

Featured Reviews

Denison Chimp - PeerSpot reviewer
Project Manager at Target
Data-driven metrics have boosted our scrum efficiency and improved cross-team visibility
In my opinion, the best features Jellyfish offers are data collection, its lightweight nature, and the wonderful Jellyfish team. When I mention data collection, Jellyfish stands out in that it can collect data from various development teams and provide analysis without intervention, helping us to make data-driven decisions easily. It is very lightweight, easy to configure, and provides accurate intelligent predictions. The Jellyfish team is wonderful, knowledgeable, and practical in resolving our queries on time. Jellyfish provides a very excellent and intuitive user interface that helps to understand where time is being spent across our organization and is integratable with other platforms and software we use daily.
Vitthal Gole - PeerSpot reviewer
Devops Engineer at AIQOD
Automated code checks have improved quality gates and prevent weak code from reaching production
SonarQube could improve by reducing false positives in its static code analysis; while its detection capabilities are strong, some findings require manual verification, increasing developers' workload. More accurate analysis would enhance productivity, and SonarQube would benefit from enhanced AI-powered recommendations for fixing issues. For instance, in our pipeline, if it fails during SonarQube stage, we could check the dashboard for identified issues involving code smells, bugs, or duplicacy. An AI feature should be integrated into SonarQube to resolve issues quickly; optimizing scanning performance for very large repositories and providing faster analysis times would enhance the developer experience, especially in large code bases with frequent commits. For anyone planning to implement SonarQube, I advise starting by defining coding standards first and integrating Quality Gates into the pipeline. You can customize quality profiles to match project requirements; rather than relying entirely on default rules, you can adjust settings for stronger detection and enforcement. Organizations with advanced security, branch analysis, and governance features might consider commercial editions based on their needs.

Quotes from Members

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

Pros

"The intuitive interface and the actionable insights help my team to identify bottlenecks and improve performance, and it also makes it very easy to use, even for non-technical users."
"In my opinion, the best features Jellyfish offers are data collection, its lightweight nature, and the wonderful Jellyfish team."
"Jellyfish provides visibility into our information in a way we could not get anywhere else, as it shows where developers are actually spending their time, not just where they plan to spend it."
"The ability to tailor metrics tracking with SonarQube Server (formerly SonarQube) has been beneficial to my team and stakeholders as we are able to get portfolio reports and project-wise reports, though there are areas for improvement."
"Some of the static code analysis capabilities are the most beneficial."
"This product has helped us improve the quality of code within the business and ensure all new developers keep to a similar code convention per project."
"SonarQube plays a key role in this endeavour and provides Senior Management oversight across multiple project teams and business deliveries."
"I like that it has a better dashboard compared to Clockwork. It's also stable."
"It is a very good tool for analysis despite its limitations."
"If you are looking for full coverage and quality improvement then it is the best product to use."
"SonarQube is a very good tool; it is lightweight and very cost effective as compared to IBM AppScan, and the dashboard is really neat and easy to operate, giving a lot of information that makes it very easy for the developers."
 

Cons

"I find the custom dashboarding challenging, although I acknowledge that the team is moving in the right direction."
"Sometimes understanding the metrics is not simple."
"The biggest issue I have with Jellyfish is how it attributes work done by engineers as AI-assisted work."
"SonarQube needs to improve its support model. They do not work 24/7, and they do not provide weekend support in case things go wrong. They only have a standard 8:00 am to 5:00 pm support model in which you have to raise a support ticket and wait. The support model is not effective for premium customers."
"When that one place has a low coverage for the most basic rules (OWASP top 10 for example) it starts to lose its value add."
"This is a well-rounded solution, however, some features could be made available on the free version. The price of the solution could be reduced."
"We had some issues scanning the master branch but when we upgraded to version 7.9 we noticed it does scan the master branch but we had to do a workaround for it to happen. This process could be improved in a future release."
"The handling of the contents of Docker container images could be better."
"During the setup process, we only had one issue related to the number of available files. To perform the analysis, you have quite a lot of available file handles, so we had to increase that limit."
"SonarQube can improve by scanning the internal library which currently it does not do. We are looking for a solution for this."
"From a reporting perspective, we sometimes have problems interpreting the vulnerability scan reports."
 

Pricing and Cost Advice

Information not available
"My guess is that we have a yearly subscription. We use it quite extensively, so a monthly license wouldn't make sense. Yearly subscriptions are usually cheaper. In addition to the standard licensing fee, there is just the cost of running the hardware where it is hosted."
"The tool's pricing is reasonable."
"While not extremely cheap, it aligns well with market standards and offers good value."
"SonarQube is a fairly affordable solution for a larger scale if you have a specific role or specific department for secure code."
"A low cost long-term solution for non-critical situations."
"On the pricing side, it's 3,000 Euros for 1 million lines of code."
"SonarQube enterprise, I am not sure of the price but from what I understand they are charging a fee. It's is not clear if it is an annual fee or a one-off."
"As a user and a consumer of this solution, it can be pricey for my company to support and use, even though there are many benefits. For this reason, we use the free version. In the future, as our product cycles develop and evolve at a more steady pace, we hope to invest in the licensing for this tool."
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Top Industries

By visitors reading reviews
No data available
Manufacturing Company
13%
Financial Services Firm
12%
Computer Software Company
10%
Comms Service Provider
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business1
Large Enterprise6
By reviewers
Company SizeCount
Small Business45
Midsize Enterprise25
Large Enterprise81
 

Questions from the Community

What needs improvement with Jellyfish?
To improve Jellyfish, I suggest adding the view on the return on investment, making it easy to identify waste within our processes. It is a great way to see engineering overall results and measure....
What is your primary use case for Jellyfish?
My main use case for Jellyfish is that it has helped us save several hours of work each month for leaders. It incorporates detailed metrics that give us an idea about how the scrums can be improved...
What advice do you have for others considering Jellyfish?
My advice to others looking into using Jellyfish is that I really recommend using it. If this is something your company is looking for, definitely give it a try. The Jellyfish team is also very res...
Is SonarQube the best tool for static analysis?
I am not very familiar with SonarQube and their solutions, so I can not answer. But if you are asking me about which tools that are the best for for Static Code Analysis, I suggest you have a look...
Which gives you more for your money - SonarQube or Veracode?
SonarQube is easy to deploy and configure, and also integrates well with other tools to do quality code analysis. SonarQube has a great community edition, which is open-source and free. Easy to use...
How would you decide between Coverity and Sonarqube?
We researched Coverity, but in the end, we chose SonarQube. SonarQube is a tool for reviewing code quality and security. It helps to guide our development teams during code reviews by providing rem...
 

Comparisons

 

Also Known As

No data available
Sonar, SonarQube Cloud
 

Interactive Demo

Demo not available
 

Overview

 

Sample Customers

Information Not Available
Snowflake, Booking.com, Deutsche Bank, AstraZeneca, and Ford Motor Company.
Find out what your peers are saying about Jellyfish vs. SonarQube and other solutions. Updated: October 2026.
919,894 professionals have used our research since 2012.