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DataGrip vs Microsoft SQL Server Management Studio: What are the differences?
Key Differences between DataGrip and Microsoft SQL Server Management Studio
DataGrip and Microsoft SQL Server Management Studio (SSMS) are both popular tools used for managing and manipulating databases. While they serve similar purposes, there are important differences between the two.
Cross-Platform Compatibility: DataGrip is a cross-platform tool developed by JetBrains that can be used on Windows, macOS, and Linux. On the other hand, SSMS is a Microsoft-developed tool that is exclusively available for Windows.
Supported Databases: DataGrip supports a wide range of databases including MySQL, PostgreSQL, Oracle, and SQLite, in addition to SQL Server. SSMS, on the other hand, is focused solely on SQL Server databases.
Integrated Development Environment (IDE): DataGrip is a full-fledged IDE that provides features for code editing, version control integration, code completion, and more. SSMS, on the other hand, is primarily focused on database management and lacks many of the advanced development features provided by DataGrip.
User Interface and Design: DataGrip has a more modern and intuitive user interface, with a customizable layout that allows users to tailor it to their needs. SSMS, on the other hand, has a more traditional interface that may be familiar to users who have been using Microsoft tools.
Database Documentation: DataGrip provides comprehensive database documentation capabilities, allowing users to generate and view documentation for their databases. SSMS, on the other hand, does not have built-in documentation features.
Third-Party Plugin Support: DataGrip has a vibrant ecosystem of plugins developed by the community, which allows users to extend its functionality. SSMS, on the other hand, has limited support for third-party plugins.
In summary, DataGrip and SSMS have key differences in terms of cross-platform compatibility, supported databases, IDE features, user interface, documentation capabilities, and third-party plugin support. These differences make each tool suitable for different use cases and user preferences.
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.
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
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.
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
Pros of DataGrip
- Works on Linux, Windows and MacOS4
- Code analysis3
- Diff viewer2
- Wide range of DBMS support2
- Generate ERD1
- Quick-fixes using keyboard shortcuts1
- Database introspection on 21 different dbms1
- Export data using a variety of formats using open api1
- Import data1
- Code completion1