Spark SQL vs. Cloudera
A side-by-side comparison based on G2 review data.
| Metric | Spark SQL | Cloudera |
|---|---|---|
| Overall rating | 4.6 | 4.2 |
| Review count | 46 | 205 |
| Ease of use | 9.1 | 8.6 |
| Ease of setup | 9.0 | 8.4 |
| Quality of support | 8.6 | 8.4 |
| Meets requirements | 9.0 | 8.9 |
| NPS | 69.565217 | 45.641026 |
| Small Business | 26.1% | 34.3% |
| Mid-Market | 19.6% | 27.5% |
| Enterprise | 54.3% | 38.2% |
| Total page views | 35 | 964 |
| Total LLM citations | 20 | 1,693 |
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.
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