@RISK vs. Google Cloud BigQuery
A side-by-side comparison based on G2 review data.
| Metric | @RISK | Google Cloud BigQuery |
|---|---|---|
| Overall rating | 4.2 | 4.5 |
| Review count | 11 | 1,223 |
| Ease of use | 8.6 | 8.9 |
| Ease of setup | 9.3 | 8.9 |
| Quality of support | 7.9 | 8.6 |
| Meets requirements | 8.6 | 9.0 |
| NPS | 45.454545 | 67.744755 |
| Small Business | 18.2% | 27.7% |
| Mid-Market | 63.6% | 34.3% |
| Enterprise | 18.2% | 38.1% |
| Total page views | 353 | 5,950 |
| Total LLM citations | 2,007 | 27,007 |
@RISK
Probabilistic Risk Analysis in Excel From the financial to the scientific, anyone who faces uncertainty in their quantitative analyses can benefit from @RISK. @RISK integrates directly into Microsoft Excel and employs Monte Carlo simulation to map out all possible scenarios and the probability they will occur – taking the guesswork out of big decisions. With @RISK, you can calculate the chances of making money on your next venture, staying within budget, and more to plan strategies with confidence. Buy now or request a free trial to start uncovering new opportunities.
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