Spark SQL vs. Fauna
A side-by-side comparison based on G2 review data.
| Metric | Spark SQL | Fauna |
|---|---|---|
| Overall rating | 4.6 | 4.4 |
| Review count | 46 | 25 |
| Ease of use | 9.1 | 8.0 |
| Ease of setup | 9.0 | 8.4 |
| Quality of support | 8.6 | 9.0 |
| Meets requirements | 9.0 | 8.4 |
| NPS | 69.565217 | 56 |
| Small Business | 26.1% | 64.0% |
| Mid-Market | 19.6% | 24.0% |
| Enterprise | 54.3% | 12.0% |
| Total page views | 35 | 31 |
| Total LLM citations | 20 | 85 |
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.
Fauna
Fauna is a truly serverless operational database that empowers teams to ship applications faster. It combines the flexibility of a document model with the strong consistency and rich querying power of relational systems—all built on a serverless, distributed architecture that scales automatically, without the complexity of manual provisioning, sharding, or replication. Over 80,000 development teams choose Fauna to build and scale modern transactional applications including teams from Tyson Foods, Unilever, Lexmark, Intelliculture, Hannon Hill, Cloaked, DTLR, and Insights.gg.
- Scalability
- Ease of Use
- Flexibility
- Reliability
- Easy Integrations
- Customer Support