Spark SQL vs. SAP HANA Cloud
A side-by-side comparison based on G2 review data.
| Metric | Spark SQL | SAP HANA Cloud |
|---|---|---|
| Overall rating | 4.6 | 4.3 |
| Review count | 46 | 619 |
| Ease of use | 9.1 | 8.4 |
| Ease of setup | 9.0 | 8.1 |
| Quality of support | 8.6 | 8.4 |
| Meets requirements | 9.0 | 8.9 |
| NPS | 69.565217 | 52.5 |
| Small Business | 26.1% | 12.2% |
| Mid-Market | 19.6% | 26.0% |
| Enterprise | 54.3% | 61.8% |
| Total page views | 35 | 1,062 |
| Total LLM citations | 20 | 2,975 |
Spark SQL
Spark SQL lets you query structured data inside Spark programs, using either SQL or a familiar DataFrame API. Usable in Java, Scala, Python and R.
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