![]() ![]() Simple Dataflow – Easily copy a table from one SQL Server to Another.ģ. Simple Data Scripter – This extension provides an easy way to migrate data between tables by generating insert scripts based on the result sets of a query.Ģ. My favorite Azure Data Studio best extensions include.ġ. You can download and install them from the Azure Data Studio Extensions tab on the left. Other Azure Data Studio extensionsĪzure data studio has a marketplace with a lot of excellent extensions. The terminal sessions can be renamed for better usability, especially when multiple sessions are in use. Write Bash, PowerShell, BCP, or SSH in Azure Data Studio, like Visual Studio Code using Integrated Terminals. ![]() Install Git (version 2.0.0 or later) on your machine to enable it in Azure Data Studio. GIT Source control integration.Īzure Data Studio has built-in Git for version/source control. Azure Data Studio notebooks support several kernels, including SQL Server, Python, PySpark, and others. Data analysts and data scientists widely use these to document and interactively run data analysis. Jupyter notebooks are documents containing live code, visualizations, narrative text, etc. Document your SQL query analysis in an interactive Jupyter notebook. SandDance made a fantastic extension for Azure Data Studio to visualize data on the fly. ![]() However, it makes life very easy when you can govern your data right within your SQL query editor. Well, we have a lot of data visualization tools available. ![]() Visualize your data within the data studio. While Azure Data Studio has limitless capabilities, below are the top 5 Azure Data Studio extensions every SQL developer should know. Microsoft SQL Server Management Studio (18.7 or above) has Azure Data Studio preinstalled as an extension, and you can launch it from the Tools menu item. Azure data studio download link is available here based on your operating system. It is a one-stop shop to query, design, and manage your databases and data warehouses, on-premise or in the cloud. I am not interested in management of the database (by this I presume you mean being a database admin such as assigning permissions and restricting use).Azure Data Studio is an open-source data management tool that enables working with SQL Server, Azure SQL DB, and Azure Synapse from Windows, macOS, and Linux. Eventually I would like to use SQL to write custom reports and also to build databases. I am not developing or managing at this point. Again, oriented to development over management. This offers a very different development environment. Are you managing servers and databases as well as developing code and databases? You may see better use in SSMS.Īlso, don't forget about Azure Data Studio. They both do that roughly the same.Īs to point four, are you developing code and databases? You may see better use in VS (source control being the biggie here). Your initial question was focused on query writing. They are going to have very different menu choices, etc. SSMS is oriented towards database and server management. The key here is Visual Studio is oriented towards development. The menu choices are absolutely going to be different. There are more tools oriented towards this in Visual Studio than in SSMS. You see more crossover when you start talking about automating deployments and getting your code into source control. Where as, if you work primarily within SSMS, you're more likely to stay there. I'd say that people who work primarily within Visual Studio are more likely to stay there to write queries. The Visual Studio query editing environment is largely, but not perfectly, the same as writing it in SSMS. ![]()
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