Allstacks uses machine learning models to analyze SDLC data for delivery risks and projected outcomes for engineering leaders. The value stream intelligence platform illuminates insights across projects and tools so users can build better processes, create a better culture, and shape better outcomes for a business and its customers. Allstacks gathers and analyzes past work data and behavior from the tools a team is already using, like Jira, GitHub, and Bitbucket. The vendor states…
$400
per year per user
Jellyfish
Score 8.7 out of 10
N/A
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…
We combined a lot of tools, customized reports, and excel spreadsheets into a single perspective to demonstrate progress, efficiency, and trends in our delivery operations. Allstacks have all the things compared to any other tool in the market.
One of the greatest feature of Allstacks is that it provides predictive analysis for the deployed software in case it will fail. It helps Software Developers a lot of time debugging the error and thus improves efficiency. Another great feature is that it uses historical work data and uses Machine Learning and AI to build predictive model.
Jellyfish allows us to understand the allocation of our efforts without time tracking. We are also able to integrate this platform with our existing ticket tracking system and can see analytics instantly! Jellyfish works well for our teams because it has an opinionated view. Jellyfish understands that the metrics for an engineering team should help you understand what your organization values and is actively working on. We can use Jellyfish in a strategic way compared to other tools like this.
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.
We combined a lot of tools, customized reports, and excel spreadsheets into a single perspective to demonstrate progress, efficiency, and trends in our delivery operations. Allstacks have all the things compared to any other tool in the market.
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 way to analyze and define better solutions to improve your software development processes.