Elastic Observability vs. Knowi
A side-by-side comparison based on G2 review data.
| Metric | Elastic Observability | Knowi |
|---|---|---|
| Overall rating | 4.3 | 4.9 |
| Review count | 138 | 28 |
| Ease of use | 8.1 | 9.2 |
| Ease of setup | 7.7 | 9.6 |
| Quality of support | 8.4 | 9.8 |
| Meets requirements | 8.9 | 9.7 |
| NPS | 55.645161 | 96.428571 |
| Small Business | 23.5% | 48.1% |
| Mid-Market | 37.5% | 40.7% |
| Enterprise | 39.0% | 11.1% |
| Total page views | 894 | 235 |
| Total LLM citations | 8,774 | 278 |
Elastic Observability
OpenTelemetry-native observability for fast, AI-driven root cause analysis Search, analyze, and act with logs, metrics, and traces. SRE leaders aim to proactively prevent downtime, simplify tool stacks, and reduce toil, but multi-cloud complexity and fragmented toolsets create visibility gaps that make it hard to stay ahead. OTel-native and AI-powered, Elastic Observability ingests and correlates petabytes of telemetry across your applications, services, and infrastructure, in real-time.
- Ease of Use
- Monitoring
- Alerting System
- Log Management
- Metrics
- Features
Knowi
Knowi is the agentic analytics platform for teams whose data does not sit in one warehouse. Dashboards, AI agents, embedded analytics, and apps run in one place, on your data where it already lives, without any data movement. Knowi’s AI agents work inside the data layer, not as a chatbot on top of finished dashboards. They connect directly to schemas and the query engine, allowing teams to build queries, widgets, and dashboards from plain-English questions. What teams use Knowi for: 1.
- Customer Support
- Business Growth
- Automation
- AI Capabilities
- Ease of Use
- Ease of Learning