Sold by: Jellyfish
Deployed on AWS
Insights for high performing engineering teams that are aligned with the business
4.5
Overview
Jellyfish is the leading Engineering Management Platform that enables engineering teams to align engineering work with strategic business objectives. By analyzing engineering signals and contextual business data, Jellyfish provides actionable insights into engineering organizations, the work they do, and how they operate. With Jellyfish, teams can optimize the allocation and operations of engineering resources to focus on what matters most to the business.
Highlights
- Measure the investment of engineering efforts to improve business & engineering decision-making
- Continuously improve engineering operations & delivery processes to accelerate the delivery of value
- Monitor, communicate, & facilitate the progress of engineering projects and deliverables in flight
Details
Sold by
Delivery method
Deployed on AWS
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Users | Jellyfish application seats | $1,000,000.00 |
Vendor refund policy
Refund policy included in contract
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
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Updated weekly
Top
10
In Agile Lifecycle Management
Top
10
In Agile Lifecycle Management
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50
In Agile Lifecycle Management
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Engineering Signals Analysis
Analyzes engineering signals and contextual business data to provide actionable insights into engineering organizations and their operations
Resource Allocation Optimization
Optimizes allocation and operations of engineering resources to align with strategic business objectives
Engineering Investment Measurement
Measures investment of engineering efforts to improve business and engineering decision-making
Project Progress Monitoring
Monitors, communicates, and facilitates progress of engineering projects and deliverables
Operations and Delivery Process Improvement
Continuously improves engineering operations and delivery processes to accelerate value delivery
Metrics Aggregation and Visualization
Aggregates metrics from multiple tools to identify and resolve workflow bottlenecks through intuitive dashboards providing contextual insights for team management.
Workflow Automation
Implements policy as code and automation mechanisms to streamline pull request processes and create efficient workflows across the organization.
Resource Cost Tracking
Visualizes team member costs and project delivery status to align resources with business priorities.
Engineering Operations Analytics
Translates R&D data into quantifiable business impact through software delivery management analytics.
Context-Rich Notifications
Delivers context-rich notifications to support active improvement of engineering operations and team performance.
Multi-Source Data Integration
Ingests engineering data from git-based SCM tools including GitLab and GitHub, build tools such as Jenkins and CircleCI, and portfolio management tools like Jira
Value Stream Metrics and Visualization
Transforms engineering data throughout the SDLC into meaningful metrics and visualizations to measure and visualize the flow of value
Work Completion Forecasting
Provides intelligent forecasting capabilities to predict work completion dates and enable more predictable release planning
Delivery Visibility and Monitoring
Delivers complete visibility into the state of deliverables and overall team performance across the engineering organization
Process Health Analytics
Measures and analyzes process health indicators to identify opportunities for continuous improvement and organizational change
Standard contract
No
No
Customer reviews
Derek P.
Transforms Engineering into Measurable Value
Reviewed on Apr 08, 2026
Review provided by G2
What do you like best about the product?
I like how Jellyfish turns engineering into a measurable business function, not just a technical black box. The initial setup was fast.
What do you dislike about the product?
I think Jellyfish could improve by providing context-aware insights that automatically explain why a metric changes, not just what changes.
What problems is the product solving and how is that benefiting you?
Jellyfish helps turn engineering into a measurable business function, proving its value beyond a cost center and aiding in ROI storytelling for board meetings.
Denison Chimp
Data-driven metrics have boosted our scrum efficiency and improved cross-team visibility
Reviewed on Apr 07, 2026
Review from a verified AWS customer
What is our primary use case?
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 and boost team performance.
A specific example of how Jellyfish helped my team save hours or improve scrums is that it gives us a holistic picture of data collected from various systems, regardless of the tech stack teams use. It is superior to other vendor products available in terms of customization, offering organization when necessary.
Jellyfish can collect data from various development teams and provide analysis without intervention.
How has it helped my organization?
Jellyfish has positively impacted our organization as it helps us grow our team efficiency at work. The documentation is excellent to start working with the product.
It helped my team grow efficiency through its easy setup, which takes time to learn, but is overall easy to use once you get the hang of it.
What is most valuable?
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.
What needs improvement?
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.
Sometimes understanding the metrics is not simple. I also believe they should keep improving the user interface.
The individual developer metrics are not very useful and make the interface feel cluttered, which is an improvement that Jellyfish needs.
For how long have I used the solution?
I have been using Jellyfish for five years.
What do I think about the stability of the solution?
Jellyfish is stable and has been reliable for our organization.
What do I think about the scalability of the solution?
Jellyfish's scalability is good, as it handles our growth effectively.
How are customer service and support?
The customer support is very responsive and proactive, and I have had good experiences with their support team.
Which solution did I use previously and why did I switch?
How was the initial setup?
My experience with pricing, setup cost, and licensing is that everything was excellent, straightforward, and the cost is very cost-effective compared to other alternatives.
What was our ROI?
I have seen a return on investment as it is easy to set up and a great tool. It is a great tool because it is easy to identify waste within our process.
Which other solutions did I evaluate?
Before choosing Jellyfish, I evaluated other options such as Miro.
What other advice do I have?
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 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. I would rate this product a 9 overall.
Which deployment model are you using for this solution?
Hybrid Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Jim T.
Clear Visibility Into Team Work and AI Rollout Effectiveness
Reviewed on Mar 30, 2026
Review provided by G2
What do you like best about the product?
Jellyfish really helps me understand where my teams are working and how effective our roll out of AI has been.
What do you dislike about the product?
Jellyfish can sometime be confusing when linked with complex jira projects and it takes some extra digging to find. Sometimes we also struggle with the accounting sides of the house. We had a $100k swing and we still can't seem to figure out why as we didn't have any changes on our side.
What problems is the product solving and how is that benefiting you?
Jellyfish helps us understand both our spend from what can and can't be capitalized, where we're spending our time, ktlo, infra, features, etc. It also has been great for us to understand how our AI tooling rollout has gone.
Jackson G.
Efficient Metric Tracking with Stellar UI and Support
Reviewed on Mar 30, 2026
Review provided by G2
What do you like best about the product?
I use Jellyfish for tracking engineering metrics like sprint reviews and throughput. I appreciate the customer service, especially Andrey, who is quick to respond and help. I like the UI of the platform as well. It saves me time going through Jira and building manual views because Jellyfish consolidates and standardizes the information well.
What do you dislike about the product?
Jellyfish is not very flexible at this time. I would like to be able to report directly from Jellyfish. I think this feature is to come with Datahub.
What problems is the product solving and how is that benefiting you?
Jellyfish consolidates and standardizes engineering metrics, eliminating the need for manual reports in Jira. It saves me time by automating sprint reviews and throughput tracking.
Ryan E.
Powerful Productivity Insights, AI Impact Needs Improvement
Reviewed on Mar 30, 2026
Review provided by G2
What do you like best about the product?
I like the ability of Jellyfish to tie into the current tools we're using across our SDLC, like Jira and GitHub, and bring them together. It's great for understanding our kind of overall development productivity across teams and measuring it at various levels like group and org level. What stands out for me is how it can assess what's actually happening and how we deliver product or value back to our customers. The integration helps us tie metrics from different platforms, like linking a Jira ticket to a GitHub pull request and tying that to an Azure pipeline run. This brings a lot of value across the SDLC as it's crucial to see the bigger picture, not just isolated metrics. I also think the AI impact feature has been a starting point that gets my team and organization thinking differently in the era of AI.
What do you dislike about the product?
I'd love to see Jellyfish spend more time developing tools for understanding AI workflows, which I feel are lacking today. Although I know there's active work in that space, it's important to be able to visualize how we use AI beyond just individual tools in an IDE. It would be great if Jellyfish could be configured to centralize our internal AI workflow metrics so everyone can use them, instead of managing them separately.
What problems is the product solving and how is that benefiting you?
I use Jellyfish to understand overall development productivity across teams, identify throughput bottlenecks, and manage team opportunities. It helps me assess AI tool use and impact, though I wish it delved more into workflow visualization.