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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Features and programs
Financing for AWS Marketplace purchases
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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
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
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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
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
Top
10
In Agile Lifecycle Management
Top
10
In Agile Lifecycle Management
Top
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
Richard G.
Streamlined Signal Management, Needs User Segmentation
Reviewed on Apr 16, 2026
Review provided by G2
What do you like best about the product?
I like the bird's eye view of signals that Jellyfish provides. The easy integration with APIs is a big plus for me, and I really appreciate the AI adoption in the platform. It saves me a lot of time compared to maintaining bespoke Excel files. The initial setup was very easy, with a presales engineer fully setting it up before the agreement was signed.
What do you dislike about the product?
FinOps needs user/group segmentation. I no longer have access to the full picture of org compensation and augmented resource billing. The CTO is the only one besides Finance with full visibility, which is not the best use of his time. Finance doesn’t like managing in more than one place, especially with less familiar tooling. We need SVP/se director level input of compensation with ACL to keep other divisions separate.
What problems is the product solving and how is that benefiting you?
I use Jellyfish for managing signals from Jira, Bitbucket, Confluence, and AI coding. It makes yardstick and conversations consistent, providing a bird's eye view of signals and easy integration with APIs, saving lots of time from maintaining bespoke Excel files.
Consumer Services
Clear Committed vs Delivered Insights and Helpful DORA Metrics
Reviewed on Apr 10, 2026
Review provided by G2
What do you like best about the product?
Overview about committed vs delivered work
General DORA metrics showing the evolution of cycle time, etc
General DORA metrics showing the evolution of cycle time, etc
What do you dislike about the product?
MCP integration with oauth is missing right now. This would make it far more useful to managers to use with their Agentic platforms.
The planning features don't enable to split by roles further beyond frontend and backend. We support 3 different platforms and as a results we are not using any of the planning features.
The planning features don't enable to split by roles further beyond frontend and backend. We support 3 different platforms and as a results we are not using any of the planning features.
What problems is the product solving and how is that benefiting you?
Helps team track their progress and optimize their processes.
Enables us to capitalize our work.
Enables us to capitalize our work.
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.