Microsoft Azure SQL Database offers significant scalability, cost-effectiveness, and user-friendly features. It excels in high availability, seamless integration with Microsoft ecosystems, and flexible licensing. Users appreciate its efficient cloud-based management, automated backups, performance optimization, and security measures. Its global accessibility, easy deployment, and robust documentation contribute to its widespread adoption. The database's capabilities in handling complex queries, supporting multiple environments, and providing business continuity are highly valued by organizations.
- "Some of the best features of Microsoft Azure SQL Database are its scalability, pricing, and ease of setup."
- "It is quick to set up and easy to scale."
- "My main use case for SQL Azure is for a self-reading application related to portfolio management. In this application, users can have portfolios designed and managed based on recommendations from their brokers. These recommendations are sent to users, and if consumed, they get executed and added to their portfolios, which can be easily maintained through mobile applications. This involves using Kafka for messaging and execution."
Microsoft Azure SQL Database needs improvements in security and cost efficiency. Users seek better integration with other applications and enhanced documentation. The pricing structure is often seen as complex and high. There is a call for improved scalability, user interface enhancements, and more robust support. Many users desire more automation, ease of use for developers, better performance monitoring features, and clearer cost estimation. Compatibility with existing applications and seamless data export are also areas needing attention.
- "The customer support is hard to reach, with Microsoft’s technical support being difficult to get in touch with."
- "One area for improvement is the need for accurate cost estimates."
- "If there are areas for improvement, one aspect could be the user interface. It could be made more user-friendly and similar to Google BigQuery's interface."