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    Jellyfish

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    Sold by: Jellyfish 
    Deployed on AWS
    Insights for high performing engineering teams that are aligned with the business
    4.5

    Overview

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    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

    Delivery method

    Deployed on AWS
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    Financing for AWS Marketplace purchases

    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.

    12-month contract (1)

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    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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    Usage information

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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.

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    Product comparison

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    Updated weekly
    By Jellyfish
    By LinearB
    By Allstacks

    Accolades

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    Top
    10
    In Agile Lifecycle Management
    Top
    10
    In Agile Lifecycle Management
    Top
    50
    In Agile Lifecycle Management

    Customer reviews

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    Sentiment is AI generated from actual customer reviews on AWS and G2
    Reviews
    Functionality
    Ease of use
    Customer service
    Cost effectiveness
    57 reviews
    Insufficient data
    Positive reviews
    Mixed reviews
    Negative reviews

    Overview

     Info
    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

    Contract

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    Standard contract
    No
    No

    Customer reviews

    Ratings and reviews

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    4.5
    408 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    69%
    29%
    2%
    0%
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    0 AWS reviews
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    408 external reviews
    External reviews are from G2 .
    damodar s.

    All Key Metrics in One Place for Intuitive, Aligned Team Performance

    Reviewed on Feb 10, 2026
    Review provided by G2
    What do you like best about the product?
    What I like best about Jellyfish is how it brings all the key metrics and insights into one place, making it super easy to track our team’s performance. It’s intuitive and really helps us understand where we’re excelling and where we can improve. It makes planning and decision-making so much smoother, and I love how it keeps everyone aligned on goals.
    What do you dislike about the product?
    What I dislike about Jellyfish is that some of the reports and dashboards could be more customizable. While the default views are helpful, it would be great to have more flexibility in how we can filter and display certain metrics. Additionally, some of the data syncs take a bit longer than expected, which can sometimes cause delays in real-time tracking.
    What problems is the product solving and how is that benefiting you?
    Jellyfish is solving the problem of lack of visibility into engineering performance and progress. Before using it, it was harder to get a clear, data-driven view of how our team was performing across different sprints. Now, Jellyfish helps us track key metrics like cycle time, throughput, and sprint velocity in one place.

    This has been a huge benefit because it allows us to identify bottlenecks early, make more informed decisions about priorities, and align the team on goals. It’s also helped us improve team efficiency and planning accuracy, which ultimately leads to faster and more predictable delivery.
    Pradeep P.

    Comprehensive Insights with Room for Customization

    Reviewed on Feb 04, 2026
    Review provided by G2
    What do you like best about the product?
    I use Jellyfish to track engineering productivity and delivery across teams. It gives me visibility into AI usage, Jira tickets, pull requests, and PR analytics through clear graphs and reports. It also helps me to understand team allocation, investment, and delivery performance across multiple projects, making planning and decision making more data-driven. What I like most about Jellyfish is how it brings everything into one place. Having Jira, PR data, AI usage, and team-level insights with clean graphs makes it much easier to understand what's happening across projects and teams without digging through multiple tools. I really like how Jellyfish makes complex engineering data easy to understand. The initial setup was straightforward, and integrating it with other tools was smooth.
    What do you dislike about the product?
    At times, the amount of data can feel a bit overwhelming, and it takes some time to get used to how certain metrics are calculated. More customization options and simpler onboarding would make the experience smoother.
    What problems is the product solving and how is that benefiting you?
    I use Jellyfish to track engineering productivity, providing visibility into AI usage, Jira tickets, and team allocation with clear graphs, making planning and decision-making data-driven.
    Harrison M.

    Revolutionized Our Capacity Planning

    Reviewed on Jan 31, 2026
    Review provided by G2
    What do you like best about the product?
    I like Jellyfish for its actionable engineering insight recommendations that guide improvement. The initial setup was smooth, which made the transition easier. The way it reveals true team capacity helps with better capacity planning.
    What do you dislike about the product?
    I wish there was an expanded template library.
    What problems is the product solving and how is that benefiting you?
    Jellyfish helps identify process inefficiencies and suggests improvements. It solves poor capacity planning by revealing true team capacity for better planning, and provides actionable engineering insight recommendations that guide improvement.
    Adrian S.

    Fast Setup, Simplifies KPI Reporting

    Reviewed on Jan 31, 2026
    Review provided by G2
    What do you like best about the product?
    I used the Jellyfish platform to build consistent dashboards and KPIs like DORA and SPACE. Jellyfish helps solve problems like manual, time-consuming reporting and reduces manual reporting work. The initial setup of Jellyfish was fast.
    What do you dislike about the product?
    More affordable pricing tiers need
    What problems is the product solving and how is that benefiting you?
    Jellyfish helps solve manual, time-consuming reporting and reduces manual reporting work.
    Pooja E.

    Seamless Work Tracking and Real-Time Team Insights

    Reviewed on Jan 30, 2026
    Review provided by G2
    What do you like best about the product?
    What I like most about Jellyfish is how it brings everything into one place. Having Jira tickets, PR data, AI usage, and team-level insights presented with clean graphs makes it much easier to understand what’s happening across projects and teams, without having to dig through multiple tools.
    What do you dislike about the product?
    Some reports and metrics take time to fully understand, and the sheer volume of data can feel overwhelming at times. I think the overall experience would improve with more customization options and clearer, more straightforward explanations in certain dashboards, especially where the information is dense.
    What problems is the product solving and how is that benefiting you?
    Jellyfish addresses the problem of scattered engineering data by bringing Jira activity, pull requests, AI usage, and delivery metrics into a single, unified view. It helps teams and leadership better understand where time and investment are going, which makes planning and delivery decisions more data-driven and transparent.
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