Spark SQL vs. YugabyteDB
A side-by-side comparison based on G2 review data.
| Metric | Spark SQL | YugabyteDB |
|---|---|---|
| Overall rating | 4.6 | 4.5 |
| Review count | 46 | 65 |
| Ease of use | 9.1 | 9.2 |
| Ease of setup | 9.0 | 8.7 |
| Quality of support | 8.6 | 9.6 |
| Meets requirements | 9.0 | 9.3 |
| NPS | 69.565217 | 70.967742 |
| Small Business | 26.1% | 41.3% |
| Mid-Market | 19.6% | 46.0% |
| Enterprise | 54.3% | 12.7% |
| Total page views | 35 | 595 |
| Total LLM citations | 20 | 3,746 |
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.
YugabyteDB
YugabyteDB is AI-ready, turbocharged PostgreSQL for business-critical transactional applications. 100% open source, it offers built-in resilience, on-demand scaling, and more! YugabyteDB eliminates the tradeoffs you get with legacy databases by uniquely combining enterprise-grade RDBMS capabilities with the horizontal scalability and resilience of cloud native architectures. YugabyteDB delivers a single logical database that can span across any cloud (private, public or hybrid).
- Scalability
- Reliability
- High Availability
- Performance
- Availability
- Ease of Use