Decision Support · Side-by-side
Compare pricing, strengths, and use cases so it is easier to pick the right fit.
Change tools
For most engineering leaders, LinearB wins on day-to-day workflow automation and DORA benchmarking, while Jellyfish is better for large enterprises needing deep resource allocation and executive reporting. The biggest difference: LinearB actively automates PR routing, whereas Jellyfish focuses on passive analytics and forecasting.
Jellyfish
LinearB
Scores at a glance
Choose Jellyfish if
Choose LinearB if
Key differences
Facts side by side
| Jellyfish | LinearB | |
|---|---|---|
| Free plan | ||
| Mobile app | ||
| API access |
Common questions
Yes, if you need granular resource allocation and executive reports. Jellyfish uses HRIS data to map time to people, while LinearB focuses on PR and cycle-time metrics.
No — neither tool has a mobile app. You need a laptop or desktop to view dashboards and configure settings.
LinearB is easier because it only needs Git and project management tool connections. Jellyfish requires HRIS data and board mapping, which is overkill for small teams.
Both integrate with Slack, but LinearB's Slack integration is more powerful — it sends real-time alerts for PR bottlenecks and cycle-time anomalies.
LinearB is more affordable because it has a free tier and per-seat pricing. Jellyfish is enterprise-only and likely costs thousands per month.
LinearB wins for most teams with its PR automation and real-time alerts; Jellyfish is the choice for large enterprises needing deep analytics and executive reporting.
If you're a non-technical leader or manager, start with LinearB — it's easier to set up, gives you actionable alerts in Slack, and has a free tier to test. Only consider Jellyfish if you have a large engineering org and need detailed resource allocation reports for executives.
