Azure Data Studio is a fantastic tool for database management. The integration with Azure SQL Server is outstanding — connecting to SQL Server instances is seamless, and the query editor with IntelliSense makes writing and optimizing queries very efficient. I particularly appreciate the built-in support for SQL Server extensions, the clean and modern interface, and the ability to manage multiple database connections in one place. It has significantly improved my productivity as a developer working daily with Azure SQL databases. Review collected by and hosted on G2.com.

The initial setup and configuration can sometimes be a bit complex for new users, especially when managing extensions and configuring connections. Performance can also feel sluggish when handling very large query result sets. It would be great to have more built-in templates and better documentation for some advanced features. Review collected by and hosted on G2.com.

I liked how easy it was to use Azure Data Studio. I am new to data analytics but Data Studio allowed me to use what I learned in class right away. Review collected by and hosted on G2.com.

I dislike when Data Studio does not remember my credentials. Review collected by and hosted on G2.com.

Azure Microsoft Data Studio is the best data management tool by Microsoft and it is supported by all types of operating systems. It can be connected with on-premises and cloud databases like SQL, PostgreSQL, etc., and to fetch the data from the database, query languages are used like SQL, Python. I like the GUI and it is easy to use in professional work. Microsoft's service and tools are good in customer support. Review collected by and hosted on G2.com.

I think one dislike is the slow performance and less advanced features compared to SQL Server Management Studio. Rest is all good as I daily use this tool in business work. Review collected by and hosted on G2.com.

Azure data studio has user friendly, interface, integrated terminal, support for data sources and robust query editing capabilities. Review collected by and hosted on G2.com.

Azure Data Studio lacks advanced features, has limited customization, and can be slow with large datasets. It looks nice but sometimes has bugs, and it might take a bit to learn. Review collected by and hosted on G2.com.

It is the best data management and development tool as it can connect with popular cloud and on premises databases like azure SQL,MYSQL,postgreSQL etc. Supported by all type of operating system like Mac,Windows,Linux etc. Able to execute queries against multiple database using different language like SQL,python etc User friendly Graphical user interface with ease to use capability. Review collected by and hosted on G2.com.

Slow performance specially when Azure data studio is working with large dataset. It do not have advanced features as SSMS is having. Review collected by and hosted on G2.com.

It supports various database platforms azure SQL databases, MySQL

Azure data studio provides various tools to perform editing and execution

Ability to execute the queries against the multiple databases simultaneously

Enabling users to interact and manage azure resources directly from the azure data studio

Easy to use interface with customisable dashboards

Works on Linux , windows,macOS Review collected by and hosted on G2.com.

When new users not familiar with its interfaces then it's take learning time for that

Users dislikes it's performance when working with larger datasets

Compare to SQL server management studio some features difficult to find

Stability issues and some unexpected crashes with certain extension Review collected by and hosted on G2.com.

* Intellisense works everytime before where clause

* Fast data loading

* More color attractive theme

*You can have full SQL admin pack Review collected by and hosted on G2.com.

*Huge time with large no of fields loading

*Intellisense goes to holiday after where clause

* Afterall a microsoft application which sucks with BI integration Review collected by and hosted on G2.com.

One of the standout features of Azure Data Studio is its versatility, offering a user-friendly interface that seamlessly integrates with various data sources and supports multiple programming languages, making it a powerful tool for database management, querying, and development tasks. Review collected by and hosted on G2.com.

One common critique of Azure Data Studio is its occasional lack of certain features compared to more established database management tools. Additionally, some users find that certain functionalities may require more polishing or improvements for a smoother user experience. Review collected by and hosted on G2.com.

It's cross platform support is a very nice feature. Azure data studio is an open source tool and available on GitHub It can be integrated seamlessly with other azure services. Jupyter notebook is integrated in data studio. It has robust support for SQL server database. It has built in data integration Users can customise their dashboard. Notebook sharing is I think most interesting features among all Review collected by and hosted on G2.com.

Limited feature set for some database. Learning curve for new user. Resource consumption. Review collected by and hosted on G2.com.

Azure Data Studio is a robust, cross-platform database development and management tool. It offers a user-friendly interface and supports various database platforms, including Microsoft SQL Server, PostgreSQL, and MySQL. Its rich features and extensibility make it an excellent choice for developers and database administrators. Review collected by and hosted on G2.com.

I did not see any bugs in this tool. As of now, everything is working fine. Review collected by and hosted on G2.com.