SAP Datasphere vs. Elastic Stack
A side-by-side comparison based on G2 review data.
| Metric | SAP Datasphere | Elastic Stack |
|---|---|---|
| Overall rating | 4.2 | 4.5 |
| Review count | 167 | 109 |
| Ease of use | 8.4 | 8.3 |
| Ease of setup | 8.1 | 8.0 |
| Quality of support | 8.7 | 8.4 |
| Meets requirements | 8.9 | 9.1 |
| NPS | 41.358025 | 69.52381 |
| Small Business | 22.8% | 22.2% |
| Mid-Market | 35.8% | 43.5% |
| Enterprise | 41.4% | 34.3% |
| Total page views | 806 | 505 |
| Total LLM citations | 3,182 | 1,347 |
SAP Datasphere
SAP Datasphere is a unified service for data integration, cataloging, semantic modeling, data warehousing, and virtualizing workloads across all your data. It enables every data professional to deliver seamless and scalable access to mission-critical business data. SAP Datasphere, and its open data ecosystem, is the foundation for a business data fabric.
- Ease of Use
- Easy Integrations
- Data Management
- Analytics
- Collaboration
- Integration Support
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