Oracle Logging Analytics vs. Elastic Stack
A side-by-side comparison based on G2 review data.
| Metric | Oracle Logging Analytics | Elastic Stack |
|---|---|---|
| Overall rating | 4.3 | 4.5 |
| Review count | 11 | 109 |
| Ease of use | 8.4 | 8.3 |
| Ease of setup | 7.1 | 8.0 |
| Quality of support | 8.8 | 8.4 |
| Meets requirements | 8.3 | 9.1 |
| NPS | 70 | 69.52381 |
| Small Business | 27.3% | 22.2% |
| Mid-Market | 36.4% | 43.5% |
| Enterprise | 36.4% | 34.3% |
| Total page views | 59 | 505 |
| Total LLM citations | 52 | 1,347 |
Oracle Logging Analytics
Oracle Log Analytics Cloud Service monitors, aggregates, indexes, and analyzes all log data from your applications and infrastructure – enabling users to search, explore, and correlate this data to troubleshoot problems faster, derive operational insight, and make better decisions. This service is built on Oracle Management Cloud's secure, unified big data platform.
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