Google Cloud BigQuery vs. KX
A side-by-side comparison based on G2 review data.
| Metric | Google Cloud BigQuery | KX |
|---|---|---|
| Overall rating | 4.5 | 4.6 |
| Review count | 1,223 | 51 |
| Ease of use | 8.9 | 7.2 |
| Ease of setup | 8.9 | 8.7 |
| Quality of support | 8.6 | 8.9 |
| Meets requirements | 9.0 | 9.0 |
| NPS | 67.744755 | 76 |
| Small Business | 27.7% | 25.5% |
| Mid-Market | 34.3% | 17.6% |
| Enterprise | 38.1% | 56.9% |
| Total page views | 5,950 | 273 |
| Total LLM citations | 27,007 | 1,239 |
Google Cloud BigQuery
BigQuery is an AI-ready, petabyte-scale, and cost-effective data warehouse that lets you run analytics over vast amounts of data in near real time. Store 10 GiB of data and run up to 1 TiB of queries for free per month.
- Ease of Use
- Speed
- Integrations
- Fast Querying
- Query Efficiency
- Scalability
KX
We power the time-aware data-driven decisions that enable fast-moving organizations to realize the full potential of their AI investments and outpace competitors. Our technology delivers transformational value by addressing data challenges around completeness, timeliness, and efficiency. We enable organizations to understand change over time and generate faster, more accurate insights — at any scale, and with cost efficiency.
- Speed
- Performance
- Tool Power
- Fast Processing
- Efficiency
- Powerful Tools