Amazon Redshift vs. Google Cloud BigTable
A side-by-side comparison based on G2 review data.
| Metric | Amazon Redshift | Google Cloud BigTable |
|---|---|---|
| Overall rating | 4.3 | 4.4 |
| Review count | 404 | 41 |
| Ease of use | 8.9 | 8.7 |
| Ease of setup | 8.8 | 8.7 |
| Quality of support | 8.7 | 8.5 |
| Meets requirements | 8.9 | 9.1 |
| NPS | 53.369272 | 67.567568 |
| Small Business | 20.6% | 26.8% |
| Mid-Market | 39.3% | 41.5% |
| Enterprise | 40.0% | 31.7% |
| Total page views | 511 | 165 |
| Total LLM citations | 5,954 | 338 |
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
Google Cloud BigTable
Cloud Bigtable is Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail. Bigtable is designed to handle massive workloads at consistent low latency and high throughput, so it's a great choice for both operational and analytical applications, including IoT, user analytics, and financial data analysis.
- Cloud Storage
- Ease of Use
- Integrations
- Features
- Data Analytics
- User Interface