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Aiden Cruz
Aiden Cruz

Azure Data Studio: A Cross-Platform Tool to Download and Install


How to Download and Install Azure Data Studio




If you are a data professional who works with SQL Server and Azure databases, you might want to try Azure Data Studio, a modern open-source, cross-platform hybrid data analytics tool designed to simplify the data landscape. In this article, you will learn what Azure Data Studio is, how to download and install it, and how to use it effectively.




download and install azure data studio



What is Azure Data Studio?




Azure Data Studio is a cross-platform database tool for data professionals who use on-premises and cloud data platforms on Windows, macOS, and Linux. It offers a modern editor experience with IntelliSense, code snippets, source control integration, and an integrated terminal. It's engineered with the data platform user in mind, with built-in charting of query result sets and customizable dashboards. You can also extend its functionality with optional extensions that provide additional features and services. Some of the features of Azure Data Studio include:


  • Multiple tab windows



  • Rich SQL editor



  • IntelliSense



  • Keyword completion



  • Code snippets and code navigation



  • Source control integration (Git and TFS)



  • Integrated terminal



  • Extensibility and extension authoring



How to Download Azure Data Studio




To download Azure Data Studio, you need to visit the page and choose the installer for your platform. You can also download the .zip file for Windows or the .tar.gz file for Linux if you prefer. The latest general availability (GA) version of Azure Data Studio is 1.44.1 as of June 5, 2023. Here are the download links for different platforms:



PlatformTypeDownload


WindowsUser Installer 64-bit ARM64


WindowsSystem Installer 64-bit ARM64


Windows.zip 64 bit ARM64


Linux.tar.gz 64-bit


Linux.deb 64-bit


Linux.rpm 64-bit


macOS.zip Universal Intel Chip Apple Silicon


How to Install Azure Data Studio




The installation process of Azure Data Studio is simple and straightforward. Depending on your platform, you can follow these steps:


Windows installation




You can install Azure Data Studio using the user installer, the system installer, or the .zip file for Windows. The user installer is recommended for personal use, while the system installer is recommended for enterprise use. The .zip file is useful if you want to run Azure Data Studio without installing it or if you want to install it on a removable drive. Here are the steps for each option: - User installer: Run the downloaded .exe file and follow the instructions on the screen. You can choose the installation location, the start menu folder, and whether to create a desktop icon or not. You can also choose to add Azure Data Studio to your PATH environment variable, which allows you to launch it from the command prompt or PowerShell. - System installer: Run the downloaded .exe file as an administrator and follow the instructions on the screen. You can choose the installation location, the start menu folder, and whether to create a desktop icon or not. You can also choose to add Azure Data Studio to your PATH environment variable, which allows you to launch it from the command prompt or PowerShell. - .zip file: Extract the downloaded .zip file to a folder of your choice. To run Azure Data Studio, double-click on the azuredatastudio.exe file in the folder. You can also create a shortcut to this file on your desktop or start menu for easy access. Linux installation




You can install Azure Data Studio on Linux using the .tar.gz file, the .deb file, or the .rpm file. The .tar.gz file is useful if you want to run Azure Data Studio without installing it or if you want to install it on a removable drive. The .deb file is suitable for Debian-based distributions such as Ubuntu, while the .rpm file is suitable for Red Hat-based distributions such as Fedora. Here are the steps for each option: - .tar.gz file: Extract the downloaded .tar.gz file to a folder of your choice. To run Azure Data Studio, open a terminal and navigate to the folder where you extracted the file. Then, run ./azuredatastudio to launch the application. You can also create a launcher or a shortcut to this file on your desktop or menu for easy access. - .deb file: Install the downloaded .deb file using your preferred package manager or by running sudo dpkg -i .deb in a terminal. You can then launch Azure Data Studio from your applications menu or by running azuredatastudio in a terminal. - .rpm file: Install the downloaded .rpm file using your preferred package manager or by running sudo rpm -i .rpm in a terminal. You can then launch Azure Data Studio from your applications menu or by running azuredatastudio in a terminal. macOS installation




You can install Azure Data Studio on macOS using the .zip file. The .zip file is useful if you want to run Azure Data Studio without installing it or if you want to install it on a removable drive. Here are the steps to install Azure Data Studio on macOS: - Extract the downloaded .zip file to a folder of your choice. - Drag azuredatastudio.app to the Applications folder. This will make it available in Launchpad. - Optionally, drag azuredatastudio.app from the Applications folder to the Dock if you want it to appear there. How to Use Azure Data Studio




Once you have installed Azure Data Studio, you can start using it to connect to different data sources, query and analyze data, create and manage databases, and more. Here are some tips and tricks to use Azure Data Studio effectively:


How to download and install azure data studio on windows


Azure data studio download link for macos and linux


Install azure data studio extensions for sql server and postgresql


Download azure data studio offline installer for windows 10


Azure data studio installation guide and system requirements


Troubleshoot azure data studio installation issues and errors


Update azure data studio to the latest version


Uninstall azure data studio from your computer


Azure data studio vs sql server management studio comparison


Learn azure data studio features and benefits


Connect to azure sql database with azure data studio


Query azure data explorer using kql in azure data studio


Create and run jupyter notebooks in azure data studio


Use git integration and source control in azure data studio


Manage azure arc enabled data services with azure data studio


Develop sql database projects using azure data studio


Migrate oracle to azure sql with azure data studio extension


Use azure data studio terminal for powershell and python commands


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Build dashboards and charts with azure data studio widgets


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Import and export data with azure data studio wizards


Backup and restore databases with azure data studio tasks


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Debug stored procedures and functions with azure data studio debugger


Use sql notebooks for interactive data analysis in azure data studio


Configure sql server big data clusters with azure data studio


Deploy dacpacs and bacpacs with azure data studio tools


Use sql server profiler to capture and analyze queries in azure data studio


Generate scripts and schema compare with azure data studio utilities


Create and manage postgresql databases with azure data studio extension


Use postgresql code snippets and intellisense in azure data studio editor


Query postgresql databases using sql notebooks in azure data studio


Backup and restore postgresql databases with azure data studio tasks


Monitor postgresql performance and health with azure data studio insights


Debug postgresql functions and procedures with azure data studio debugger


Import and export postgresql data with azure data studio wizards


Use git integration and source control for postgresql projects in azure data studio


Connect to postgresql hyperscale (citus) with azure data studio extension


Manage postgresql extensions and users with azure data studio tools


Download free ebooks and tutorials for learning azure data studio


- To connect to a data source, click on the New Connection icon on the left sidebar or press Ctrl+N. You can choose from various data sources such as SQL Server, Azure SQL Database, PostgreSQL, MySQL, and more. You can also specify the server name, authentication type, user name, password, database name, and connection name. You can save your connections for future use and organize them into groups. - To query data, click on the New Query icon on the left sidebar or press Ctrl+Shift+N. You can write SQL queries in the editor and execute them by pressing F5 or clicking on the Run button. You can see the results in a grid below the editor and export them as CSV, JSON, Excel, or XML files. You can also visualize the results as charts by clicking on the Chart button and choosing from various chart types such as bar, line, pie, scatter, etc. - To create and manage databases, click on the Servers icon on the left sidebar or press Ctrl+Shift+E. You can see all your connected servers and databases and expand them to view their objects such as tables, views, stored procedures, functions, etc. You can right-click on any object and choose from various actions such as script as create/


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