Jellyfish vs. Sleuth
A side-by-side comparison based on G2 review data.
| Metric | Jellyfish | Sleuth |
|---|---|---|
| Overall rating | 4.5 | 4.6 |
| Review count | 430 | 41 |
| Ease of use | 8.6 | 8.9 |
| Ease of setup | 8.4 | 8.1 |
| Quality of support | 9.3 | 9.5 |
| Meets requirements | 8.8 | 8.8 |
| NPS | 66.744186 | 68.292683 |
| Small Business | 3.9% | 27.5% |
| Mid-Market | 68.5% | 52.5% |
| Enterprise | 27.6% | 20.0% |
| Total page views | 2,603 | 66 |
| Total LLM citations | 9,032 | 292 |
Jellyfish
Jellyfish is the leading intelligence platform for AI-Integrated engineering, helping more than 1,000 companies including DraftKings, Keller Williams and Blue Yonder, leverage AI to transform how they build software. By combining the industry’s deepest engineering dataset with context-rich intelligence, Jellyfish helps R&D organizations understand what’s driving impact, adopt proven industry best practices, and make smarter decisions across AI adoption, planning, delivery, and engineering performance. Learn more at jellyfish.co.
- Metrics
- Team Collaboration
- Metrics Analysis
- Insights
- Tracking
- Ease of Use
Sleuth
Sleuth helps Engineering leaders achieve business alignment and ensure predictable delivery with operational excellence. It does that by offering all three key components of a highly successful Engineering metrics program: Metrics, Reviews, and Automations. Metrics that Sleuth delivers include quantitative ones such as DORA metrics, as well as qualitative ones such as DevEx score that fit frameworks like SPACE. Reviews are Sleuth's secret sauce for turning metric insights into real outcomes and ultimately business value.
- Metrics Analysis
- Customer Support
- Easy Integrations
- Metrics
- Integrations
- Ease of Use