YugabyteDB vs. Spark SQL
A side-by-side comparison based on G2 review data.
| Metric | YugabyteDB | Spark SQL |
|---|---|---|
| Overall rating | 4.5 | 4.6 |
| Review count | 65 | 46 |
| Ease of use | 9.2 | 9.1 |
| Ease of setup | 8.7 | 9.0 |
| Quality of support | 9.6 | 8.6 |
| Meets requirements | 9.3 | 9.0 |
| NPS | 70.967742 | 69.565217 |
| Small Business | 41.3% | 26.1% |
| Mid-Market | 46.0% | 19.6% |
| Enterprise | 12.7% | 54.3% |
| Total page views | 595 | 35 |
| Total LLM citations | 3,746 | 20 |
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
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.