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DbSchema vs Microsoft SQL Server Management Studio: What are the differences?
Introduction
In this comparison, we will highlight the key differences between DbSchema and Microsoft SQL Server Management Studio (SSMS).
User Interface: DbSchema offers a more intuitive and user-friendly interface with visually appealing diagramming tools for designing and manipulating databases. On the other hand, SSMS has a more traditional and text-based interface that may require a steeper learning curve for new users.
Platform Compatibility: DbSchema is a cross-platform tool that can be used on Windows, Mac OS, and Linux operating systems, providing flexibility for users with different preferences. In contrast, SSMS is primarily designed for Windows operating systems, limiting its usability for users on other platforms.
Database Support: While SSMS is specifically tailored to work with Microsoft SQL Server databases, DbSchema supports a wider range of databases including MySQL, Oracle, PostgreSQL, and SQLite. This makes DbSchema a more versatile tool for users working with diverse database environments.
Schema Visualization: DbSchema excels in schema visualization capabilities, allowing users to easily create and modify complex database schemas through its graphical representation. SSMS, on the other hand, focuses more on query execution and database administration tasks, with limited schema visualization features.
Collaboration Features: DbSchema offers collaborative features such as schema synchronization and version control, making it easier for teams to work together on database projects. SSMS lacks robust collaboration tools, which may be a drawback for teams requiring extensive collaboration in their database development process.
Query Building and Execution: SSMS provides more advanced query building and execution capabilities compared to DbSchema, offering features like query plan analysis, performance tuning, and debugging tools. Users requiring in-depth query optimization and performance tuning may find SSMS more suitable for their needs.
In Summary, DbSchema and Microsoft SQL Server Management Studio have notable differences in their user interface, platform compatibility, database support, schema visualization, collaboration features, and query building capabilities, catering to different user preferences and needs.
I am looking to build an azure database that connects to my power bi application. Initially, I attempted to create an Azure SQL database, then realized I needed to have SQL Server Management Service in order to manage and connect between Azure SQL <=> Power BI, but since I am on a Mac, I had to use the complex installation as a workaround.
If MySQL Workbench can solve this (as the product is available on Mac), I am more than happy to proceed with this approach if it can achieve the same goal of connecting an azure database with my Power BI application
What I am trying to achieve is fairly simple: have an online cloud database that connects to my Power BI application
I am open to any other solutions as well
Thank you
As others have noted, MySQL Workbench cannot be used instead of Microsoft SQL Manager to manage Azure SQL (MS-SQL Server, I hate that Microsoft uses generic category names for their products).
If you're considering switching to MySQL (Possibly using Azure MySQL managed database), then please not that unlike MS-SQL Server, you do not need the MySQL Workbench to connect your application to MysQL: just use the correct driver for your stack, and you're all set (if your stack is using the .Net platform, use MySQL Connector/NET from: https://dev.mysql.com/downloads/connector/net/ ).
If you do want to use a graphical interface to maintain your MySQL database, then MySQL Workbench is a great choice, but you are not limited to it - as others have mentioned, there is a plethora of competing graphical database management tools that would work just as well with MySQL - one of the advantages of choosing MySQL for your stack is the huge eco-system that is built around it.
Microsoft provides an application known as Azure Data Studio that runs on Windows, Mac and Linux machines. It provides the ability to manage an Azure SQL database, as well as connecting to standard SQL Server databases. https://docs.microsoft.com/en-us/sql/azure-data-studio/what-is?view=sql-server-ver15
As far as I know, MySQL Workbench doesn't handle Microsoft connections, including Azure, you should try Microsoft solutions such as MS VS Code.
Hi Aashwiin, Looking at your stack (https://stackshare.io/aashwiin82347/my-stack), it seems you are using Azure SQL Databases. I'll infer this is Microsoft SQL Server. Therefore, it certainly makes sense you stick with some of the official Microsoft Tooling to connect to it, query and administer it. You'd only be looking at MySQL Query Workbench, if you were running and connecting to a MySQL Database. - That said, could Azure MySQL (https://docs.microsoft.com/en-us/azure/mysql/overview) be an option for you a this point? MySQL offers great performance. I have been running it at various companies (under AWS/RDS and AWS/Aurora) and have no reason to switch over to anything else. - Decision making-wise, how much do your want your local sql/mysql client to influence/weigh in your architecture/technology decisions, though? This can be a slippery slope. - Alternatively, other clients exist, such as "Table Plus" and allow you to connect, on Mac, to a variety of database servers, including SQL Server. It might be worth giving it a try.
Hello Could you give us a better idea of what Data Base Management System (DBMS) you are using at Azure? MySQL Workbench and Microsoft SQL Server Management Studio (SSMS) are tools developed to exclusively manage MySQL and SQL Server, respectively. If you need to manage multiple DBMS's from a single tool, I sugget you try DBeaver. There are also another alternatives: HeidiSQL, phpMyAdmin, etc. Regarding the DBMS itself, I suggest you stick with SQL Server. In my opinion it's more stable and has more features than MySQL - especially in the Standard and Enterprise editions. Regards, Lawrence
Pros of DbSchema
- MongoDb diagrams2
- Mysql Data Explorer1
- SqlServer random data generator1
- PostgreSql random data generator1
- MongoDb documentation1
- SqlServer documentation1
- Postgres documentation1
- All databases included: PostgreSQL, MariaDb, Redshift1
- Intuitive interface, complete design using diagrams1



