Spark SQL vs. ClickHouse
A side-by-side comparison based on G2 review data.
| Metric | Spark SQL | ClickHouse |
|---|---|---|
| Overall rating | 4.6 | 4.3 |
| Review count | 46 | 56 |
| Ease of use | 9.1 | 8.8 |
| Ease of setup | 9.0 | 8.4 |
| Quality of support | 8.6 | 8.4 |
| Meets requirements | 9.0 | 9.1 |
| NPS | 69.565217 | 50.909091 |
| Small Business | 26.1% | 44.6% |
| Mid-Market | 19.6% | 42.9% |
| Enterprise | 54.3% | 12.5% |
| Total page views | 35 | 513 |
| Total LLM citations | 20 | 5,808 |
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.
ClickHouse
ClickHouse is the fastest and most resource efficient real-time database and data warehouse. ClickHouse is optimized to serve a wide range of data-intensive workloads, from powering interactive user-facing dashboards to running ad-hoc historical analysis over petabytes of data. Today, ClickHouse Cloud is used by enterprises all over the world, including Lyft, Sony, IBM, GitLab, Twilio, HubSpot, and many more. ClickHouse is available open-source or through cloud services on AWS, GCP, and soon, Azure.
- Query Speed
- Speed
- Easy Integrations
- Integrations
- Query Efficiency
- Large Datasets