IBM Cloud Pak for Data vs. Elastic Stack
A side-by-side comparison based on G2 review data.
| Metric | IBM Cloud Pak for Data | Elastic Stack |
|---|---|---|
| Overall rating | 4.3 | 4.5 |
| Review count | 89 | 109 |
| Ease of use | 8.3 | 8.3 |
| Ease of setup | 7.6 | 8.0 |
| Quality of support | 8.5 | 8.4 |
| Meets requirements | 8.7 | 9.1 |
| NPS | 49.295775 | 69.52381 |
| Small Business | 27.3% | 22.2% |
| Mid-Market | 21.6% | 43.5% |
| Enterprise | 51.1% | 34.3% |
| Total page views | 161 | 505 |
| Total LLM citations | 1,152 | 1,347 |
IBM Cloud Pak for Data
IBM Cloud Pak® for Data is a fully integrated data and AI platform that modernizes how businesses collect, organize and analyze data, forming the foundation to infuse AI across their organization. Running on Red Hat OpenShift and available on any cloud, this unified platform helps companies automate the end-to-end AI lifecycle.
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