How to Download 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 also supports multiple languages, such as SQL, PowerShell, Python, Spark, and Scala, and allows you to create rich dashboards, notebooks, and extensions.
download azure data studio
If you are looking for a lightweight, extensible, and customizable data analytics tool that can connect to your data wherever it resides, Azure Data Studio might be the right choice for you. In this article, we will show you how to download and install Azure Data Studio on different operating systems, and what are some of the benefits and features of this tool. We will also compare it with some alternatives that you might want to consider.
What is Azure Data Studio and why use it
Azure Data Studio is a free and open-source database tool that was formerly known as SQL Operations Studio. It was developed by Microsoft as a modern alternative to SQL Server Management Studio (SSMS), which is a Windows-only tool that has been around for a long time. Azure Data Studio is designed to focus on the functionality that data platform developers use the most, such as writing and executing queries, managing databases, and developing applications.
One of the main reasons to use Azure Data Studio is that it is cross-platform, meaning that you can run it on Windows, macOS, or Linux. This gives you more flexibility and choice in your development environment, especially if you work with different operating systems or cloud platforms. Another reason is that Azure Data Studio is lightweight and fast, which means that it consumes less resources and performs better than SSMS. It also has a sleek and modern user interface that is easy to use and customize.
What are the benefits and features of Azure Data Studio
Some of the benefits and features of Azure Data Studio are:
Query editor: You can write and execute SQL queries with syntax highlighting, IntelliSense, code snippets, error checking, formatting, and execution plans. You can also view and save the results as text, JSON, XML, or Excel files.
Notebooks: You can create interactive documents that combine code, text, images, graphs, and results. You can use notebooks for data analysis, visualization, reporting, documentation, or education. You can also share them with others or publish them online.
Integrated terminal: You can access your favorite command-line tools, such as Bash, PowerShell, sqlcmd, bcp, or ssh, from within the Azure Data Studio user interface. You can also run scripts or commands without leaving the tool.
Dashboards: You can create customizable dashboards to monitor and troubleshoot your databases and servers. You can use built-in widgets or create your own using SQL queries or notebooks.
Extensions: You can extend the functionality of Azure Data Studio by installing extensions from the marketplace or creating your own. Extensions can provide new features or services, such as database projects, schema compare, import/export wizards, query history, or data virtualization.
Connection management: You can organize and manage your database connections using server groups. You can also connect to different types of data sources, such as SQL Server, Azure SQL Database, Azure SQL Managed Instance, PostgreSQL, MySQL, MariaDB, SQLite, or Oracle.
What are some alternatives to Azure Data Studio
Azure Data Studio is not the only database tool available in the market. Depending on your needs and preferences, you might want to consider some alternatives that offer similar or different features. Here are some of the most popular alternatives to Azure Data Studio:
SQL Server Management Studio (SSMS): This is the official and most widely used tool for managing SQL Server databases. It offers a comprehensive set of features and tools, such as object explorer, query designer, debugger, profiler, backup and restore, data import and export, and more. However, it is only available for Windows and it can be slow and heavy on resources.
Visual Studio Code (VS Code): This is a general-purpose code editor that supports multiple languages and platforms. It has a built-in extension for SQL Server that allows you to connect, query, and edit data. It also has other extensions that can enhance your data development experience, such as Azure Data Studio Notebook, SQL Server Profiler, SQL Database Projects, and more. However, it is not a dedicated database tool and it might lack some advanced features or integrations that Azure Data Studio offers.
DBeaver: This is a free and open-source database tool that supports a wide range of data sources, such as SQL Server, PostgreSQL, MySQL, Oracle, MongoDB, SQLite, and more. It has a user-friendly interface and a rich set of features, such as data editor, query builder, ER diagram, data export and import, SQL formatter, and more. However, it might not have some of the specific features or services that Azure Data Studio provides for SQL Server or Azure data platforms.
How to download Azure Data Studio for Windows
If you want to download Azure Data Studio for Windows, you have four options: user installer, system installer, zip file, or unattended installation. Here are the steps for each option:
User installer
This option installs Azure Data Studio for the current user only. It does not require administrator privileges and it does not affect other users on the same machine. To use this option:
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Go to the and click on the Windows User Installer link.
Save the file to your preferred location and run it.
Follow the instructions on the setup wizard to complete the installation.
Launch Azure Data Studio from the Start menu or the desktop shortcut.
System installer
This option installs Azure Data Studio for all users on the machine. It requires administrator privileges and it affects the system registry and environment variables. To use this option:
Go to the and click on the Windows System Installer link.
Save the file to your preferred location and run it as administrator.
Follow the instructions on the setup wizard to complete the installation.
Launch Azure Data Studio from the Start menu or the desktop shortcut.
Zip file
This option allows you to download Azure Data Studio as a zip file that you can extract and run without installation. It does not require administrator privileges and it does not affect the system registry or environment variables. To use this option:
Go to the and click on the Windows ZIP link.
Save the file to your preferred location and extract it.
Navigate to the extracted folder and run azuredatastudio.exe.
Unattended installation
This option allows you to install Azure Data Studio silently using command-line parameters. It is useful for automated or scripted deployments. To use this option:
Download either the user installer or the system installer from the .
Open a command prompt and navigate to the folder where you saved the installer file.
Run the installer with the /VERYSILENT /NORESTART /SUPPRESSMSGBOXES /CLOSEAPPLICATIONS /NOCANCEL parameters. For example:AzureDataStudio-windows-user-setup-1.33.0.exe /VERYSILENT /NORESTART /SUPPRESSMSGBOXES /CLOSEAPPLICATIONS /NOCANCEL
How to download Azure Data Studio for macOS
If you want to download Azure Data Studio for macOS, you have two options: zip file or drag and drop. Here are the steps for each option:
Zip file
This option allows you to download Azure Data Studio as a zip file that you can extract and run without installation. It does not require administrator privileges and it does not affect the system settings or preferences. To use this option:
Go to the and click on the macOS ZIP link.
Save the file to your preferred location and extract it.
Navigate to the extracted folder and run azuredatastudio.app.
Drag and drop
This option allows you to download Azure Data Studio as a dmg file that you can drag and drop to your Applications folder. It does not require administrator privileges and it does not affect the system settings or preferences. To use this option:
Go to the and click on the macOS DMG link.
Save the file to your preferred location and open it.
Drag and drop the azuredatastudio.app icon to your Applications folder.
How to download Azure Data Studio for Linux
If you want to download Azure Data Studio for Linux, you have three options: tar.gz file, deb file, or rpm file. Here are the steps for each option:
Tar.gz file
This option allows you to download Azure Data Studio as a tar.gz file that you can extract and run without installation. It does not require root privileges and it does not affect the system settings or preferences. To use this option:
Go to the and click on the Linux TAR.GZ link.
Save the file to your preferred location and extract it.
Navigate to the extracted folder and run azuredatastudio.
Deb file
This option allows you to download Azure Data Studio as a deb file that you can install using a package manager such as apt or dpkg. It requires root privileges and it affects the system settings or preferences. To use this option:
Go to the and click on the Linux DEB link.
Save the file to your preferred location and open a terminal.
Navigate to the folder where you saved the file and run sudo dpkg -i azuredatastudio-linux-1.33.0.deb.
Rpm file
This option allows you to download Azure Data Studio as a rpm file that you can install using a package manager such as yum or dnf. It requires root privileges and it affects the system settings or preferences. To use this option:
Go to the and click on the Linux RPM link.
Save the file to your preferred location and open a terminal.
Navigate to the folder where you saved the file and run sudo rpm -i azuredatastudio-linux-1.33.0.rpm.
Conclusion
In this article, we have shown you how to download and install Azure Data Studio on different operating systems, and what are some of the benefits and features of this tool. We have also compared it with some alternatives that you might want to consider. We hope that this article has helped you to decide whether Azure Data Studio is the right tool for you or not.
If you want to learn more about Azure Data Studio, you can visit its official website, documentation, blog, or GitHub repository. You can also join its community forum, Slack channel, or Twitter account to get in touch with other users and developers. You can also provide feedback, report issues, or request features through its GitHub issues page.
FAQs
What are the system requirements for Azure Data Studio?
Azure Data Studio requires a 64-bit system with at least 4 GB of RAM and 200 MB of disk space. It also requires a minimum screen resolution of 1024 x 768 pixels. It supports Windows 7 SP1 or later, macOS 10.13 High Sierra or later, and Linux distributions such as Ubuntu, Debian, Red Hat, Fedora, SUSE, CentOS, or Oracle Linux.
How do I update Azure Data Studio?
Azure Data Studio has an auto-update feature that checks for updates periodically and notifies you when a new version is available. You can also manually check for updates by clicking on the gear icon in the lower left corner of the user interface and selecting Check for Updates. You can also download the latest version from the and install it over the existing one.
How do I uninstall Azure Data Studio?
To uninstall Azure Data Studio, you need to follow the steps that correspond to the installation option that you used. For example:
If you used the user installer or the system installer for Windows, you can go to the Control Panel and select Uninstall a program. Then, find Azure Data Studio in the list and click on Uninstall.
If you used the zip file for Windows or macOS, you can simply delete the folder where you extracted the file.
If you used the drag and drop option for macOS, you can drag and drop the azuredatastudio.app icon from your Applications folder to the Trash.
If you used the deb file or the rpm file for Linux, you can use a package manager such as apt or yum to remove Azure Data Studio. For example:sudo apt remove azuredatastudio or sudo yum remove azuredatastudio
If you used the tar.gz file for Linux, you can simply delete the folder where you extracted the file.
How do I connect to a database using Azure Data Studio?
To connect to a database using Azure Data Studio, you need to follow these steps:
Click on the New Connection icon in the left sidebar or press Ctrl+N.
Select the type of data source that you want to connect to, such as SQL Server, PostgreSQL, MySQL, etc.
Enter the connection details, such as server name, authentication type, user name, password, database name, etc.
Optionally, you can save the connection for future use by checking the Save Password box and entering a name for the connection.
Click on Connect to establish the connection.
How do I create a notebook using Azure Data Studio?
To create a notebook using Azure Data Studio, you need to follow these steps:
Click on the New Notebook icon in the left sidebar or press Ctrl+Shift+N.
Select the type of kernel that you want to use for your notebook, such as SQL, PowerShell, Python, Spark, etc.
Add cells to your notebook by clicking on the + Code or + Text buttons at the top. You can also use keyboard shortcuts such as A or B to insert cells above or below.
Edit your cells by typing code or text in them. You can also use markdown syntax to format your text cells.
Run your cells by clicking on the Run Cell button or pressing Ctrl+Enter. You can also run all cells by clicking on the Run All Cells button or pressing F5.
Save your notebook by clicking on the Save Notebook button or pressing Ctrl+S. You can also export your notebook as HTML, PDF, or ipynb files by clicking on the Export Notebook As... button.
How do I create a dashboard using Azure Data Studio?
To create a dashboard using Azure Data Studio, you need to follow these steps:
Connect to a data source that you want to monitor or troubleshoot using Azure Data Studio.
Click on the New Dashboard icon in the left sidebar or press Ctrl+Shift+D.
Select whether you want to create a server dashboard or a database dashboard.
Add widgets to your dashboard by clicking on the Edit Dashboard button at the top right corner and selecting Add New Widget....
Select a widget from the list of available widgets or create your own custom widget using SQL queries or notebooks.
Configure your widget by entering a name, description, size, refresh interval, query parameters, etc.
Save your dashboard by clicking on the Done Editing button at the top right corner. You can also export your dashboard as JSON files by clicking on the Export Dashboard As... button.
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