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Jellyfish vs LinearB comparison

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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

Jellyfish
Ranking in Software Development Analytics
2nd
Average Rating
9.6
Reviews Sentiment
7.5
Number of Reviews
2
Ranking in other categories
No ranking in other categories
LinearB
Ranking in Software Development Analytics
3rd
Average Rating
8.0
Reviews Sentiment
6.6
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2026, in the Software Development Analytics category, the mindshare of Jellyfish is 7.9%, up from 3.1% compared to the previous year. The mindshare of LinearB is 15.7%, up from 11.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Software Development Analytics Mindshare Distribution
ProductMindshare (%)
Jellyfish7.9%
LinearB15.7%
Other76.4%
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.
Shehan Faiz - PeerSpot reviewer
Customer success specialist (ex performance marketer) at a tech services company with 51-200 employees
Improved engineering delivery has provided clear metrics and streamlined pull request reviews
LinearB can be improved by making some of the metrics in the platform easier to understand and prioritize. While having a large amount of data is useful, it can be overwhelming when trying to identify the most important improvements for a particular software. Additionally, LinearB needs more flexibility in its reporting capabilities. I give it an eight because the complexity in certain metrics and the amount of data can be overwhelming, especially when trying to identify the most important improvements. The rigidness in certain types of reporting is why I would not give it a ten.

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."
"The dashboards and pull request analytics help my team day-to-day by identifying delays, reducing repetitive coordination work, and making the platform useful for both engineering managers and developers."
 

Cons

"The biggest issue I have with Jellyfish is how it attributes work done by engineers as AI-assisted work."
"Sometimes understanding the metrics is not simple."
"LinearB can be improved by making some of the metrics in the platform easier to understand and prioritize."
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Top Industries

By visitors reading reviews
No data available
Comms Service Provider
15%
Manufacturing Company
13%
Financial Services Firm
13%
Computer Software Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business1
Large Enterprise6
No data available
 

Questions from the Community

What needs improvement with Jellyfish?
The biggest issue I have with Jellyfish is how it attributes work done by engineers as AI-assisted work. It is really making a guess based on whether there are AI signals the day that they do appea...
What is your primary use case for Jellyfish?
In my work, I mostly use Jellyfish to provide clear visibility into my work, eliminating the need for manual tracking. The simple dashboard has been able to make it easy for me to understand perfor...
What advice do you have for others considering Jellyfish?
Jellyfish has been very helpful, especially before I had to go to disparate systems. I had to go to disparate systems such as Jira, GitHub, and LinearB to get data to understand my engineering team...
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Comparisons

 

Overview

Find out what your peers are saying about SonarSource Sàrl, Jellyfish, LinearB and others in Software Development Analytics. Updated: October 2026.
920,769 professionals have used our research since 2012.