Honeycomb vs. OpenObserve
A side-by-side comparison based on G2 review data.
| Metric | Honeycomb | OpenObserve |
|---|---|---|
| Overall rating | 4.5 | 4.8 |
| Review count | 37 | 22 |
| Ease of use | 8.7 | 9.3 |
| Ease of setup | 8.6 | 9.4 |
| Quality of support | 9.5 | 9.4 |
| Meets requirements | 9.2 | 9.6 |
| NPS | 72.222222 | 100 |
| Small Business | 13.5% | 59.1% |
| Mid-Market | 45.9% | 36.4% |
| Enterprise | 40.5% | 4.5% |
| Total page views | 530 | 550 |
| Total LLM citations | 3,030 | 138 |
Honeycomb
Honeycomb is the observability platform that enables engineering teams to find and solve problems they couldn't before. Honeycomb’s approach is fundamentally different from other tools that claim observability, and is built to help teams answer novel questions about their ever-evolving cloud applications. Honeycomb is a modern observability platform built to help engineering teams quickly find and fix issues, including the ones they didn’t know to look for.
- Ease of Use
- Insights
- Customer Support
- Tracing Tools
- Flexibility
- Real-time Monitoring
OpenObserve
OpenObserve is a modern, full-stack observability platform. What sets OpenObserve (O2) apart is OpenTelemetry-native, unified logs, metrics, traces, RUM, AI SRE, and LLM observability, running in the cloud, on-prem, or in hybrid environments. O2 is open source, backed by a large community of users and contributors, with up to 140x lower storage costs than Elasticsearch, no proprietary query language, and native integration with AI-native workflows.