Spark SQL vs. Knack
A side-by-side comparison based on G2 review data.
| Metric | Spark SQL | Knack |
|---|---|---|
| Overall rating | 4.6 | 4.3 |
| Review count | 46 | 116 |
| Ease of use | 9.1 | 8.9 |
| Ease of setup | 9.0 | 8.7 |
| Quality of support | 8.6 | 8.4 |
| Meets requirements | 9.0 | 8.6 |
| NPS | 69.565217 | 59.821429 |
| Small Business | 26.1% | 58.4% |
| Mid-Market | 19.6% | 31.0% |
| Enterprise | 54.3% | 10.6% |
| Total page views | 35 | 432 |
| Total LLM citations | 20 | 6,165 |
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.
Knack
Knack is an AI-powered no-code platform for building custom, database-driven applications, internal tools, and portals. Businesses use Knack to create systems that manage data, automate workflows, and support day-to-day operations, all in one place. The platform combines a built-in relational database, AI app builder, customizable forms, and workflow automation. Users can define their data model, create user roles, and control access with granular permissions. Applications can be deployed as internal tools or external portals, and embedded into existing websites.
- Ease of Use
- Intuitive
- Ease of Learning
- Simplicity
- Easy Setup
- Customer Support