Gleap vs. Lightrun
A side-by-side comparison based on G2 review data.
| Metric | Gleap | Lightrun |
|---|---|---|
| Overall rating | 4.6 | 4.8 |
| Review count | 66 | 67 |
| Ease of use | 9.1 | 9.2 |
| Ease of setup | 9.2 | 9.1 |
| Quality of support | 9.9 | 9.7 |
| Meets requirements | 9.3 | 9.4 |
| NPS | 82.8125 | 89.552239 |
| Small Business | 83.6% | 26.2% |
| Mid-Market | 16.4% | 44.6% |
| Enterprise | 0.0% | 29.2% |
| Total page views | 431 | 199 |
| Total LLM citations | 2,966 | 673 |
Gleap
Turn customer feedback into shipped software. Gleap is your AI software team: one platform connecting AI-native customer support, feedback and coding agents. Built for teams developing and supporting software, Gleap keeps customer conversations, technical evidence and implementation connected. Start with customer support and connect the rest as you need it. A shared inbox, knowledge base, in-app bug reports and feedback tools give your team and AI agents the context to answer questions, investigate issues and act on customer requests.
- Ease of Use
- Features
- Helpful
- Automation
- Simple
- User Interface
Lightrun
Named 2021 Gartner Cool Vendor, Lightrun builds an IDE-native observability & debugging platform that enables developers to securely add logs, metrics and traces to production and staging environments in real time, on demand. No hotfixes, redeployments or restarts required. Developers use Lightrun for multiple code-level observability needs, including: * Code-level alerts (Java, Node.js, Python, .NET) * Feature verification * Testing / debugging in production * Troubleshooting cloud native apps, Serverless, and more * Log optimization capabilities through a Log Optimizer(TM) By eliminating
- Ease of Use
- Debugging
- Debugging Tools
- Real-time Monitoring
- Efficiency
- Response Time