Google Cloud SQL vs. Amazon Athena
A side-by-side comparison based on G2 review data.
| Metric | Google Cloud SQL | Amazon Athena |
|---|---|---|
| Overall rating | 4.5 | 4.4 |
| Review count | 367 | 173 |
| Ease of use | 9.3 | 9.0 |
| Ease of setup | 9.3 | 9.2 |
| Quality of support | 8.9 | 8.8 |
| Meets requirements | 9.2 | 8.7 |
| NPS | 69.859155 | 61.111111 |
| Small Business | 33.2% | 22.0% |
| Mid-Market | 40.4% | 27.2% |
| Enterprise | 26.4% | 50.9% |
| Total page views | 820 | 181 |
| Total LLM citations | 17,069 | 447 |
Google Cloud SQL
Cloud SQL is a fully-managed managed relational database service for MySQL, PostgreSQL, and SQL Server with rich extension collections, configuration flags, and developer ecosystems.
- Database Management
- Integrations
- Easy Integrations
- Ease of Use
- Scalability
- Features
Amazon Athena
Amazon Athena is a serverless, interactive query service that enables users to analyze large datasets directly in Amazon S3 using standard SQL. With no infrastructure to manage, Athena allows for quick, ad-hoc querying without the need for complex ETL processes. It automatically scales to execute queries in parallel, delivering fast results even for complex queries and large datasets. Key Features and Functionality: - Serverless Architecture: Athena requires no server management, automatically handling infrastructure scaling and maintenance.
- Querying
- Big Data Handling
- Analytics
- Ease of Use
- Data Analysis
- Features