Azure Machine Learning vs. SAP HANA Cloud
A side-by-side comparison based on G2 review data.
| Metric | Azure Machine Learning | SAP HANA Cloud |
|---|---|---|
| Overall rating | 4.3 | 4.3 |
| Review count | 90 | 619 |
| Ease of use | 8.7 | 8.4 |
| Ease of setup | 8.6 | 8.1 |
| Quality of support | 8.8 | 8.4 |
| Meets requirements | 8.7 | 8.9 |
| NPS | 48.275862 | 52.5 |
| Small Business | 33.3% | 12.2% |
| Mid-Market | 26.7% | 26.0% |
| Enterprise | 40.0% | 61.8% |
| Total page views | 239 | 1,062 |
| Total LLM citations | 1,035 | 2,975 |
Azure Machine Learning
Azure Machine Learning is an enterprise-grade service that facilitates the end-to-end machine learning lifecycle, enabling data scientists and developers to build, train, and deploy models efficiently. Key Features and Functionality: - Data Preparation: Quickly iterate data preparation on Apache Spark clusters within Azure Machine Learning, interoperable with Microsoft Fabric. - Feature Store: Increase agility in shipping your models by making features discoverable and reusable across workspaces.
- Features
- Ease of Use
- Customer Support
- Data Management
- Implementation Ease
- Efficiency
SAP HANA Cloud
SAP HANA Cloud is a modern database-as-a-service (DBaaS) powering the next generation of intelligent data applications. SAP HANA Cloud offers a competitive edge by incorporating advanced machine learning and predictive tools grounded in modern data science. Its powerful in-memory performance safeguards efficient data processing. By securely storing vast amounts of data with its integrated multitier storage and handling various types on a single copy in its native multi-model database, SAP HANA Cloud simplifies data management and connects to other data sources.
- Ease of Use
- Easy Integrations
- Integrations
- Speed
- Scalability
- Performance Efficiency