Google Cloud BigQuery vs. Amazon Redshift
A side-by-side comparison based on G2 review data.
| Metric | Google Cloud BigQuery | Amazon Redshift |
|---|---|---|
| Overall rating | 4.5 | 4.3 |
| Review count | 1,223 | 404 |
| Ease of use | 8.9 | 8.9 |
| Ease of setup | 8.9 | 8.8 |
| Quality of support | 8.6 | 8.7 |
| Meets requirements | 9.0 | 8.9 |
| NPS | 67.744755 | 53.369272 |
| Small Business | 27.7% | 20.6% |
| Mid-Market | 34.3% | 39.3% |
| Enterprise | 38.1% | 40.0% |
| Total page views | 5,950 | 511 |
| Total LLM citations | 27,007 | 5,954 |
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
Amazon Redshift
Tens of thousands of customers use Amazon Redshift, a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to efficiently analyze all your data using your existing business intelligence tools. It is optimized for datasets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.
- Integrations
- Ease of Use
- Fast Querying
- Scalability
- Easy Integrations
- Performance