Elastic Stack vs. Cribl
A side-by-side comparison based on G2 review data.
| Metric | Elastic Stack | Cribl |
|---|---|---|
| Overall rating | 4.5 | 4.6 |
| Review count | 109 | 166 |
| Ease of use | 8.3 | 8.7 |
| Ease of setup | 8.0 | 8.5 |
| Quality of support | 8.4 | 9.0 |
| Meets requirements | 9.1 | 8.9 |
| NPS | 69.52381 | 68.75 |
| Small Business | 22.2% | 27.7% |
| Mid-Market | 43.5% | 15.7% |
| Enterprise | 34.3% | 56.6% |
| Total page views | 505 | 573 |
| Total LLM citations | 1,347 | 79 |
Elastic Stack
The Elastic Stack, commonly known as the ELK Stack, is a comprehensive suite of open-source tools designed for ingesting, storing, analyzing, and visualizing data in real-time. It comprises Elasticsearch, Kibana, Beats, and Logstash, enabling users to handle data from any source and in any format efficiently. Key Features and Functionality: - Elasticsearch: A distributed, JSON-based search and analytics engine that allows for rapid storage, search, and analysis of large volumes of data.
- Ease of Use
- Log Management
- Versatility
- Search Efficiency
- Flexibility
- Dashboard Usability
Cribl
Cribl is the AI Platform for Telemetry, giving organizations a flexible way to collect, process, route, store, search, and analyze the logs, metrics, traces, events, and other machine data generated across modern IT and security environments. Built for the volume, variety, and changing value of telemetry, Cribl helps teams make better use of the data customers already have without forcing them into a single vendor, destination, data format, or architecture.