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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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    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.
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    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
    427 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    69%
    28%
    2%
    0%
    0%
    1 AWS reviews
    |
    426 external reviews
    External reviews are from G2 .
    Isaac G.

    Intuitive Interface and Powerful Jira Integration for Organizational Insights

    Reviewed on May 20, 2026
    Review provided by G2
    What do you like best about the product?
    I really like the interface and how easy it is to navigate through the data. If you have your hierarchy set up and use Jira effectively, the integration lets you move up and down through the different levels of your organization and see how data from smaller units rolls up into the larger picture.
    What do you dislike about the product?
    There was a bit of a learning curve at first as I got used to the navigation, but once I understood where to find the information I needed, I could use favorites, bookmarks, and stars to quickly access the information I rely on regularly.
    What problems is the product solving and how is that benefiting you?
    Jellyfish provides visibility into our information in a way we couldn’t get anywhere else. In particular, it shows where developers are actually spending their time, not just where they plan to spend it. The signals Jellyfish captures give us a clearer view of reality than our other planning tools. It also enables capitalization tracking without forcing us to rely on time tracking across our work.
    David A.

    DevFinOps and DORA Metrics That Transformed Our Engineering Operations

    Reviewed on May 08, 2026
    Review provided by G2
    What do you like best about the product?
    The DevFinOps capabilities and DORA metrics have changed the way we operate as an engineering organization.
    What do you dislike about the product?
    I wish there was more in the way of ‘engaging’ users, driving them to the platform.
    What problems is the product solving and how is that benefiting you?
    Labor capitalization, DORA metrics, AI Impact, synthesizing Jira, Gitlab, and Cursor data.
    Padma S.

    Clear Visibility Enhances QA Performance Tracking

    Reviewed on Apr 30, 2026
    Review provided by G2
    What do you like best about the product?
    I like that Jellyfish provides clear visibility into my work, eliminating the need for manual tracking. The simple dashboards make it easy to understand performance trends quickly. It's incredibly useful for identifying delays in testing or review cycles, which helps me improve consistency and maintain accountability. The setup was straightforward, with smooth integration of tools like Jira and Git, and it was easy to start using. Switching to Jellyfish from more manual tracking methods made performance tracking more structured and data-driven. I appreciate how it gives me a clear view of my work and contributions while using it alongside other tools like Git, Jira, and CI/CD pipelines.
    What do you dislike about the product?
    The AI insights could be more detailed and tailored to QA needs, like providing insights on test coverage gaps, identifying flaky tests, and recurring defect patterns. It would also be beneficial if the AI could suggest clear actions on where to improve tests or highlight potential risks in upcoming releases.
    What problems is the product solving and how is that benefiting you?
    I use Jellyfish to track my QA performance with clear dashboards, helping me quickly identify delays in testing cycles. It improves consistency and accountability by providing visibility into my time usage and contributions.
    Kamlesh K.

    Team Pulse and Stats Make Retrospectives Clear and Actionable

    Reviewed on Apr 29, 2026
    Review provided by G2
    What do you like best about the product?
    You can look at Team Pulse, Team Summary and Individual statistics during Retrospective for what went well, didn't go well.
    What do you dislike about the product?
    AI Impact was not integrated successfully with Amazon Q.
    What problems is the product solving and how is that benefiting you?
    The biggest advantage is categorizing where the time is being spent by the developers, i.e. we have decided categories for each epic and defect.
    Kyle L.

    Comprehensive Team Monitoring Made Easy

    Reviewed on Apr 29, 2026
    Review provided by G2
    What do you like best about the product?
    Jellyfish is very easy to use and has a lot of documentation, which is great. I love the look and feel of the service. I appreciate the ability to assign team priorities and see how a single individual is doing. The Daily Team Digest to Slack is vital for monitoring across teams, and the Team Summary Dashboard offers an excellent snapshot of team performance and an insight into sprint trends. The initial setup, especially with the ingestion of the Jira team structure, was very smooth and handled changes well.
    What do you dislike about the product?
    - Sprints: We use t-shirt sizes and time estimation instead of story points, and there isn't currently an option to handle that. - Daily Team Digest: The list of stale Jira tasks operates on the last update date, but because we are doing sprints, the oldest anything gets is 14 days before the sprint changes. Those tickets are still in the same status but their last changed date has been refreshed. Something in the same status for 100 days may only show as 7 days on the report. If the section of the digest is about being stuck in a status, we should be able to configure what date it operates on.
    What problems is the product solving and how is that benefiting you?
    Jellyfish compiles data from different locations into one platform, helping me monitor my team's progress and manage priorities more effectively. The Daily Team Digest and Team Summary Dashboard features are especially useful for overseeing team activity and researching sprint trends.
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