Spark SQL vs. Stackby
A side-by-side comparison based on G2 review data.
| Metric | Spark SQL | Stackby |
|---|---|---|
| Overall rating | 4.6 | 4.6 |
| Review count | 46 | 85 |
| Ease of use | 9.1 | 9.1 |
| Ease of setup | 9.0 | 9.5 |
| Quality of support | 8.6 | 9.4 |
| Meets requirements | 9.0 | 9.0 |
| NPS | 69.565217 | 81.927711 |
| Small Business | 26.1% | 92.8% |
| Mid-Market | 19.6% | 6.0% |
| Enterprise | 54.3% | 1.2% |
| Total page views | 35 | 259 |
| Total LLM citations | 20 | 1,232 |
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.
Stackby
Stackby is a no-code work management platform that brings the best of spreadsheets and databases to enable anyone to create their own collaborative workflows for their teams. No-coding or training needed. Stackby merges spreadsheet functionalities with the capabilities of a relational database, offering search, filtering, grouping and sorting options, as well as the ability to generate custom forms and views. It is designed for teams of any size from one to over 1000, making it scalable for fast growing startups.
- Ease of Use
- Flexibility
- Customization
- Features
- Automation
- Team Collaboration