Spark SQL vs. InterSystems IRIS
A side-by-side comparison based on G2 review data.
| Metric | Spark SQL | InterSystems IRIS |
|---|---|---|
| Overall rating | 4.6 | 4.6 |
| Review count | 46 | 74 |
| Ease of use | 9.1 | 8.2 |
| Ease of setup | 9.0 | 8.0 |
| Quality of support | 8.6 | 8.9 |
| Meets requirements | 9.0 | 9.1 |
| NPS | 69.565217 | 74.603175 |
| Small Business | 26.1% | 47.9% |
| Mid-Market | 19.6% | 35.2% |
| Enterprise | 54.3% | 16.9% |
| Total page views | 35 | 468 |
| Total LLM citations | 20 | 2,027 |
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.
InterSystems IRIS
InterSystems IRIS is a complete cloud-first data platform that includes a multi-model transactional data management engine, an application development platform, and interoperability engine, and an open analytics platform. It is the next generation of our proven data management software.It includes the capabilities of InterSystems Cache and Ensemble, plus a wealth of exciting new capabilities to make it easy to build and deploy cloud based, analytics-intensive enterprise applications with even greater performance and scalability.
- Features
- Ease of Use
- Performance
- Useful
- Easy Integrations
- Speed