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DevOps Automation for SQL Server vs Microsoft SQL Server Management Studio: What are the differences?
Introduction
When it comes to managing SQL Server environments, DevOps Automation for SQL Server and Microsoft SQL Server Management Studio (SSMS) are two essential tools that serve different purposes. It is important to understand the key differences between them to make an informed choice for database management and automation.
Functional Focus: DevOps Automation for SQL Server is designed specifically for automating database operations, deployments, and CI/CD processes within a DevOps workflow. On the other hand, SSMS is a comprehensive integrated environment for managing and developing SQL Server databases, providing tools for querying, designing databases, and scripting tasks.
Workflow Integration: DevOps Automation for SQL Server integrates with continuous integration and continuous deployment (CI/CD) pipelines, enabling automated testing, deployment, and monitoring of database changes. SSMS, on the other hand, is a standalone tool primarily used for manual database management tasks and development activities.
Scalability and Collaboration: DevOps Automation for SQL Server allows for scalable automation of database tasks across multiple servers and environments, facilitating collaboration among development, operations, and database teams. SSMS is more suitable for individual database administrators or developers working on a single server environment.
Version Control: DevOps Automation for SQL Server includes version control and audit tracking capabilities, allowing teams to manage and track changes to database schemas and configurations over time. SSMS lacks robust version control features, making it more challenging to track and manage changes efficiently.
Scripting and Customization: DevOps Automation for SQL Server provides extensive scripting capabilities and customization options for defining automated database deployment processes using scripts or templates. SSMS also supports scripting tasks but may not offer the same level of automation and customization as DevOps Automation for SQL Server.
Monitoring and Alerts: DevOps Automation for SQL Server includes built-in monitoring and alerting mechanisms to track the status of automated database operations and receive notifications in case of failures or performance issues. SSMS may require additional third-party tools for comprehensive monitoring and alerting functionalities.
In Summary, understanding the key differences between DevOps Automation for SQL Server and Microsoft SQL Server Management Studio is crucial for selecting the right tool based on the specific requirements of database management and automation.
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
