Jellyfish vs. Port
A side-by-side comparison based on G2 review data.
| Metric | Jellyfish | Port |
|---|---|---|
| Overall rating | 4.5 | 4.4 |
| Review count | 430 | 41 |
| Ease of use | 8.6 | 8.7 |
| Ease of setup | 8.4 | 8.3 |
| Quality of support | 9.3 | 9.1 |
| Meets requirements | 8.8 | 8.5 |
| NPS | 66.744186 | 53.658537 |
| Small Business | 3.9% | 4.9% |
| Mid-Market | 68.5% | 61.0% |
| Enterprise | 27.6% | 34.1% |
| Total page views | 2,603 | 451 |
| Total LLM citations | 9,032 | 3,472 |
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
Port
Port is an open AI software Factory platform designed for engineering organizations to build, govern, and operate the AI-SDLC at scale. The company’s platform maps services, tools, and standards into a context layer, connects any coding agent through an auto-discovered registry of agents, skills, and MCP servers, and assembles end-to-end factory lines such as idea-to-production, self-healing incidents, and auto-patching CVEs.
- User Interface
- Flexibility
- Ease of Use
- Integrations
- Customization
- Customer Support