AzureDataStudio vs Microsoft SQL Server Management Studio

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AzureDataStudio vs Microsoft SQL Server Management Studio: What are the differences?

# Introduction

Azure Data Studio and Microsoft SQL Server Management Studio are two popular tools used by database developers and administrators to manage SQL Server environments. While both tools have similar functionalities, there are key differences that set them apart.

1. **Platform Compatibility**: Azure Data Studio is cross-platform and can be used on Windows, macOS, and Linux operating systems. On the other hand, SQL Server Management Studio is a Windows-only tool, limiting its usability for users on other platforms.

2. **Open Source vs. Proprietary**: Azure Data Studio is an open-source tool, which means that the community can contribute to its development and enhancement. SQL Server Management Studio, on the other hand, is a proprietary tool developed solely by Microsoft.

3. **Integrated Language Support**: Azure Data Studio supports multiple programming languages like TypeScript, Python, and R, in addition to T-SQL. This makes it versatile for data professionals who work with different languages. In contrast, SQL Server Management Studio primarily focuses on T-SQL, the native language for SQL Server operations.

4. **Extension Ecosystem**: Azure Data Studio has a robust extension marketplace that allows users to customize their experience with additional features and tools. While SQL Server Management Studio also supports extensions, the ecosystem is more limited compared to Azure Data Studio.

5. **Built-in Source Control Integration**: Azure Data Studio has built-in Git integration, making it easy for users to manage version control for their database projects. SQL Server Management Studio requires additional plugins or external tools for source control integration.

6. **Resource Usage**: Azure Data Studio is lightweight and consumes fewer system resources compared to SQL Server Management Studio. This can be beneficial for users working on low-powered machines or in resource-constrained environments.

# Summary

In summary, Azure Data Studio and SQL Server Management Studio differ in platform compatibility, open-source vs. proprietary nature, language support, extension ecosystem, source control integration, and resource usage.
Advice on AzureDataStudio and Microsoft SQL Server Management Studio

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

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Replies (5)
Oded Arbel
Recommends
on
MySQL WorkBenchMySQL WorkBench

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.

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Lawrence Fernandes
Data Engineer at B2W Digital · | 1 upvotes · 198.9K views
Recommends
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DBeaverDBeaver

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

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Povilas Brilius
PHP Web Developer at GroundIn Software · | 1 upvotes · 199.3K views

As far as I know, MySQL Workbench doesn't handle Microsoft connections, including Azure, you should try Microsoft solutions such as MS VS Code.

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Erica Rowe
Tech Lead at eComEngine LLC · | 1 upvotes · 198.9K views
Recommends
on
AzureDataStudioAzureDataStudio

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

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Julien DeFrance
Principal Software Engineer at Tophatter · | 1 upvotes · 198.8K views

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.

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