Spark SQL vs. Progress OpenEdge
A side-by-side comparison based on G2 review data.
| Metric | Spark SQL | Progress OpenEdge |
|---|---|---|
| Overall rating | 4.6 | 4.0 |
| Review count | 46 | 49 |
| Ease of use | 9.1 | 8.7 |
| Ease of setup | 9.0 | 8.2 |
| Quality of support | 8.6 | 7.5 |
| Meets requirements | 9.0 | 8.3 |
| NPS | 69.565217 | 29.72973 |
| Small Business | 26.1% | 16.3% |
| Mid-Market | 19.6% | 36.7% |
| Enterprise | 54.3% | 46.9% |
| Total page views | 35 | 213 |
| Total LLM citations | 20 | 1,248 |
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.
Progress OpenEdge
OpenEdge 12 provides the performance, availability, agility and security you need to facilitate your application evolution effort. Read about the exceptional enhancements and new features in OpenEdge 12 that will help you easily pivot to meet market demands, scale the application as your business requires, and dramatically improve performance, allowing the organization to accelerate time to market, increase efficiencies, save expenses, increase availability and continue to compete effectively.