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Jellyfish v LinearB

Jellyfish v. LinearB

LinearB focuses on tactical aspects of team productivity, but Jellyfish takes it further by addressing challenges across the entire engineering organization. With its patented Work Allocations Model and the industry’s largest benchmarking dataset, Jellyfish is the preferred option for companies of all sizes, further standing out in terms of flexible self-serve configuration, financial reporting and top-tier security.

Jellyfish sees the bigger picture

LinearB, in its emphasis on productivity, overlooks crucial engineering issues, failing to see the forest from the trees. The fastest team is neither effective nor healthy if they’re disconnected from leaders and stakeholders – causing project overspending, false starts, or unrealized features. Jellyfish prioritizes bridging those gaps through shared language and shared visibility –  empowering healthier, more effective teams.

See how we compare

Jellyfish
LinearB
Ready for large and scaling companies
Jellyfish supports organizations of all sizes, but stands out as the ideal solution for large or growing organizations. We adapt to our customer’s needs offering a range of configuration and security features. (e.g Role-based access control, robust SKIM, on-premise agent controls, cross-domain identity management, and SOC-1 Financial Compliance).
LinearB
LinearB serves a limited customer base and lacks some essential functionalities necessary for success in larger organizations. Whether you are already a sizable company or looking to grow, LinearB has room for improvement in enterprise-grade configuration and security features. LinearB also requires access to your source code which can be an infosec challenge or non-starter.
Solutions that fit any organization
Jellyfish meets our customers where they are, offering support in even the most complex organizational landscapes. Our platform’s robust data ingestion and configuration options guarantee insights that fit your organization. Combined with our team of integration specialists, we not only manage complex instances, but understand and help them meet their business needs.
LinearB
Many LinearB customers cite data quality issues and inconsistencies with their data. While LinearB might get you in quickly, many discover later they only work well under a limited set of conditions and don’t actually fit their workflows.
Data that works
At Jellyfish, we recognize that simply counting issues and PRs fails to provide a comprehensive picture. Teams work in diverse ways and use different sizes for story points; that’s why, we introduced our patented Work Allocations Model. We can present a unified view in Full-Time Equivalents (FTEs), offering the closest representation of time allocation in the market. This is a level of insight that cannot be recreated by performing calculations in a spreadsheet or dashboard yourself.
LinearB
LinearB uses conventional methods, counting tickets, PRs, or commits for cross-team insights, aligning with practices achievable by in-house dashboards or spreadsheet calculations. Challenges continue to exist therefore when standardizing units across teams, considering them over time, or relying on story points, results in unreliable representation of data.
Robust Financial Reporting
Finance professionals at publicly traded companies rely on Jellyfish’s DevFinOps tool for their software capitalization and tax credit (e.g., SR&ED) reporting. Backed by SOC-1 compliance, automation features, and configurability, Jellyfish stands out as the top choice for trust, time savings, and ease of use.
LinearB
LinearB lacks SOC-1 compliance, automation features, and configurability. Additionally, its trivial method of relying on counting to quantify the cost of software projects compels finance teams to invest significant time resolving data inconsistencies, resulting in reports that are less defensible during audits.
No Repo Cloning Needed
Jellyfish delivers results without needing your proprietary source code. Additionally, we offer a diverse array of permissioning and security options to meet the needs of security-conscious organizations.
LinearB
LinearB demands access to your highly sensitive source code for delivering insights, posing a potential headache or unnecessary risk for your security team.

Data-driven engineering teams love Jellyfish