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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Planview Verify
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Planview Verify is a test environment management product that gives IT teams centralized coordination and orchestration of pre-production test environments. It replaces manual scheduling, spreadsheets, and ad-hoc handoffs with a single system for booking, change management, conflict detection, and environment health monitoring across the full path to production, from developer machine through integration testing, user acceptance testing, staging, and into production.
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Jellyfish
Planview Verify
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Jellyfish
Planview Verify
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Community Pulse
Jellyfish
Planview Verify
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.
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.