ClusterControl vs. Azure Data Studio
A side-by-side comparison based on G2 review data.
| Metric | ClusterControl | Azure Data Studio |
|---|---|---|
| Overall rating | 4.4 | 4.5 |
| Review count | 16 | 35 |
| Ease of use | 8.8 | 9.1 |
| Ease of setup | 8.8 | 8.8 |
| Quality of support | 8.7 | 9.3 |
| Meets requirements | 8.6 | 9.3 |
| NPS | 75 | 62.857143 |
| Small Business | 31.3% | 40.0% |
| Mid-Market | 31.3% | 17.1% |
| Enterprise | 37.5% | 42.9% |
| Total page views | 111 | 145 |
| Total LLM citations | 310 | 792 |
ClusterControl
ClusterControl enables you to implement full lifecycle automation for your open-source database footprints in on-premises, in the cloud, or in hyrbrid environments. ClusterControl supports MongoDB, Elasticsearch, TimescaleDB, Redis, Vlakey, Galera, SQL Server on Linux, PostgreSQL, MariaDB and MySQL.
- Helpful
- Ease of Use
- Documentation
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