Spark SQL vs. IBM Db2
A side-by-side comparison based on G2 review data.
| Metric | Spark SQL | IBM Db2 |
|---|---|---|
| Overall rating | 4.6 | 4.1 |
| Review count | 46 | 684 |
| Ease of use | 9.1 | 8.3 |
| Ease of setup | 9.0 | 8.0 |
| Quality of support | 8.6 | 8.3 |
| Meets requirements | 9.0 | 8.7 |
| NPS | 69.565217 | 36 |
| Small Business | 26.1% | 13.2% |
| Mid-Market | 19.6% | 20.8% |
| Enterprise | 54.3% | 66.0% |
| Total page views | 35 | 632 |
| Total LLM citations | 20 | 3,844 |
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 Db2
Built to run the world’s mission-critical workloads. Designed by the world’s leading database experts, IBM Db2 empowers developers, enterprise architects, and data engineers to run low-latency transactions and real-time analytics equipped for the most demanding workloads. From microservices to AI workloads, Db2 is the tested, resilient, and hybrid database providing the extreme availability, built-in refined security, effortless scalability, and intelligent automation for systems that run the world.
- Performance
- Reliability
- Scalability
- Ease of Use
- Security
- Customer Support