Elastic Stack vs. Cloudera
A side-by-side comparison based on G2 review data.
| Metric | Elastic Stack | Cloudera |
|---|---|---|
| Overall rating | 4.5 | 4.2 |
| Review count | 109 | 205 |
| Ease of use | 8.3 | 8.6 |
| Ease of setup | 8.0 | 8.4 |
| Quality of support | 8.4 | 8.4 |
| Meets requirements | 9.1 | 8.9 |
| NPS | 69.52381 | 45.641026 |
| Small Business | 22.2% | 34.3% |
| Mid-Market | 43.5% | 27.5% |
| Enterprise | 34.3% | 38.2% |
| Total page views | 505 | 964 |
| Total LLM citations | 1,347 | 1,693 |
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
Cloudera
Cloudera is the only hybrid data and AI platform company that large organizations trust to bring AI to their data anywhere it lives. Unlike other providers, Cloudera delivers a consistent cloud experience that converges public clouds, on-prem data centers, and the edge, leveraging a proven open-source foundation. As the pioneer in big data, Cloudera empowers businesses to apply AI and assert control over 100% of their data, in all forms, improving security, governance, and real-time and predictive insights.
- Ease of Use
- Scalability
- Security
- Features
- Performance
- Data Management