Jellyfish is an intelligence platform for AI-Integrated Engineering. According to the vendor, the solution assists over 1,000 companies—including DraftKings, Box, and Blue Yonder—in utilizing Artificial Intelligence to manage software development lifecycles. By aggregating engineering data and contextual intelligence, Jellyfish is designed to help Research and Development (R&D) organizations measure impact, adopt industry practices, and support decision-making across AI adoption, project…
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LinearB
Score 7.8 out of 10
N/A
LinearB is a tool for software development organizations that allows for improved productivity based on objective data driven insights. Founded in 2018, Los Angeles-based LinearB promises a fresh approach to software development project management and metrics, for example helping developer teams correlate project issues with data from their code, Git, projects, and more. LinearB promises to bring context to the metrics, helping engineering leaders understand what is happening across a…
$0
(8 devs included)
Pricing
Jellyfish
LinearB
Editions & Modules
No answers on this topic
Free
$0
(8 devs included)
Pro
$10
Per dev per month to start
Enterprise
$45
Per dev per month
Offerings
Pricing Offerings
Jellyfish
LinearB
Free Trial
No
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Jellyfish
LinearB
Considered Both Products
Jellyfish
Verified User
Anonymous
Chose Jellyfish
GitHub provided a lot of issues for us from an end-user point of view. Overall, Jellyfish is more intuitive; although it does come with its struggles and downfalls, these are something that just takes time to figure out. GitHub was more focused on developing metrics ONLY, and a …
The really cool thing about Jellyfish is the integrations that it has with the other tools, which are also very common within the software development industry. Consolidating all this data and being able to see graphs, numbers, and percentages in one place gives you a better …
I really recommend using Jellyfish; if this is something that your company is looking for, definitely give it a try. The Jellyfish team is also very responsive and supportive while updating, changing, or modifying required data. Having metrics from different tools in one place is very useful, especially when you have several engineering teams.
It gives you an amazing dashboard with graphs and data that helps in analyzing our work. Through cycle metric tracking, the throughput of your teams is great as compared to agile metrics such as Scrum Velocity.
UI and navigation aren't very intuitive and require additional research before being able to use.
The individual developer metrics are not very useful and make the interface feel cluttered.
Overall, it takes time for the end-user to truly learn how to use the platform and navigate. There is so much information/data available that although the above is a con, we felt it still made sense, despite the learning curve.
GitHub provided a lot of issues for us from an end-user point of view. Overall, Jellyfish is more intuitive; although it does come with its struggles and downfalls, these are something that just takes time to figure out. GitHub was more focused on developing metrics ONLY, and a lot of these metrics were black and white, which resulted in a failure to analyze the bigger picture. GitHub's metrics were mostly unreliable. After using Jellyfish for the past 2ish years, we love it so much better. Despite the learning curve to understand how to use the interface, overall, this provides so much more insights and analytics in a way that allows us to be strategic with our business goals.