Azure Data Studio vs. Amazon Athena
A side-by-side comparison based on G2 review data.
| Metric | Azure Data Studio | Amazon Athena |
|---|---|---|
| Overall rating | 4.5 | 4.4 |
| Review count | 35 | 173 |
| Ease of use | 9.1 | 9.0 |
| Ease of setup | 8.8 | 9.2 |
| Quality of support | 9.3 | 8.8 |
| Meets requirements | 9.3 | 8.7 |
| NPS | 62.857143 | 61.111111 |
| Small Business | 40.0% | 22.0% |
| Mid-Market | 17.1% | 27.2% |
| Enterprise | 42.9% | 50.9% |
| Total page views | 145 | 181 |
| Total LLM citations | 792 | 447 |
Azure Data Studio
Azure Data Studio is a lightweight, cross-platform data management and development tool designed for data professionals. It offers a modern editor experience with features like IntelliSense, code snippets, source control integration, and an integrated terminal, facilitating efficient database management and development. Supporting Windows, macOS, and Linux, Azure Data Studio allows connections to various databases, including Azure SQL, SQL Server, MySQL, PostgreSQL, and Cosmos DB.
- Analytics
- Ease of Use
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