DataSet (by SentinelOne) vs. Elastic Observability
A side-by-side comparison based on G2 review data.
| Metric | DataSet (by SentinelOne) | Elastic Observability |
|---|---|---|
| Overall rating | 4.6 | 4.3 |
| Review count | 42 | 138 |
| Ease of use | 8.7 | 8.1 |
| Ease of setup | 9.0 | 7.7 |
| Quality of support | 9.5 | 8.4 |
| Meets requirements | 9.1 | 8.9 |
| NPS | 71.794872 | 55.645161 |
| Small Business | 33.3% | 23.5% |
| Mid-Market | 40.5% | 37.5% |
| Enterprise | 26.2% | 39.0% |
| Total page views | 98 | 894 |
| Total LLM citations | 169 | 8,774 |
DataSet (by SentinelOne)
DataSet is the LIVE data analytics platform that enables teams to quickly get answers from all of their data, across different use cases and from all time periods – streaming or historical. Teams choose DataSet to elastically scale to petabytes of data while delivering real-time performance at a fraction of the cost.
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