Spark SQL vs. IBM Informix
A side-by-side comparison based on G2 review data.
| Metric | Spark SQL | IBM Informix |
|---|---|---|
| Overall rating | 4.6 | 4.5 |
| Review count | 46 | 111 |
| Ease of use | 9.1 | 9.2 |
| Ease of setup | 9.0 | 9.0 |
| Quality of support | 8.6 | 8.7 |
| Meets requirements | 9.0 | 9.3 |
| NPS | 69.565217 | 68.478261 |
| Small Business | 26.1% | 23.4% |
| Mid-Market | 19.6% | 31.5% |
| Enterprise | 54.3% | 45.0% |
| Total page views | 35 | 299 |
| Total LLM citations | 20 | 867 |
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.
IBM Informix
• Harness data with broad functionality and unlimited scalability. IBM Informix is a secure embeddable database, optimized for OLTP and Internet of Things (IoT) data. Informix has the unique ability to seamlessly integrate SQL, NoSQL/JSON, time series and spatial data. Everyone from developers to global enterprises can benefit from its reliability, flexibility, ease of use and low total cost of ownership. • Optimize business decisions Perform analytics close to data sources to enhance local decision making.