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  1. Manage your cloud storage on Azure. Upload, download, and manage Azure Storage blobs, files, queues, and tables, as well as Azure Data Lake Storage entities and Azure managed disks. Configure storage permissions and access controls, tiers, and rules.
  2. This content applies to Azure Virtual Desktop with Azure Resource Manager Azure Virtual Desktop objects. Download and install the client on your macOS device.

Restoring a database is a piece of cake with Azure Data Studio. It’s a similar process to doing it with SQL Server Management Studio. Simply click Restore and follow the prompts.

This restore process allows you to navigate through the computer’s file system to locate the .bak file. This .bak file contains a backup of the database you want to restore. So when SQL Server restores the database, it’s using the .bak file to do so.

The source code for Azure Data Studio and its data providers is available on GitHub under a source code EULA that provides rights to modify and use the software, but not to redistribute it or host it in a cloud service. For more information, see Azure Data Studio FAQ. Download and Install Azure Data Studio. SQL code editor with IntelliSense. Download Description. IBM Data Studio is a no-charge offering that consists of the Data Studio client. The Data Studio client provides an integrated development environment for instance and database administration, routine and Java application development, and query tuning that can be installed with other IBM software products so that they can share a common environment. Instructor To install Azure Data Studio on a Mac,we're going to start at the product's download page.And I'll scroll down here, until I find this section.We can see that the current releaseis the November 2018 release at version 1.2.4at the time of this recording.Now, for macOS, we only have a single download option,and that's the ZIP file here.Let's go ahead.

Mac OS to: Set up a Microsoft Azure account. Download the correct SDK for your preferred development language. Use the Microsoft Azure Management Portal Use the command line interface (CLI) to perform basic VM operations. Upload data to Microsoft Azure Blob Storage Deploy to Microsoft Azure from a source repository.

However, if you’re running your SQL Server instance inside a Docker container (which of course, you would be if you’re running SQL Server on Mac or Linux), there’s something you need to be aware of if your backup file is located outside the Docker container.

If the backup file is located outside the Docker container that’s running SQL Server, you’ll need to copy it into the Docker container before you do the restore. Once you’ve copied the .bak file into the Docker container, you can go ahead and use Azure Data Studio to restore the database.

Below I outline all the steps involved.

/apple-1015-update-mac-download/. This tutorial assumes that you’ve installed SQL Server on your Mac using a Docker container, and you’ve installed Azure Data Studio.

Azure Mac Virtual Machine

I should point out that, even though the examples on this page were done on a Mac, all steps should work on both macOS and Linux.

Download a Sample Database

If you already have your own database .bak file, you don’t need to do this step.

For this tutorial, I’m going to restore the WideWorldImporters sample database. This is a sample database that Microsoft has made available for showing off the various features of SQL Server. In particular, I’ll be using the data warehousing version of the database.

To download the WideWorldImporters sample database .bak file, either go to the WideWorldImporters Github page and find the download link, or you can download the .bak file directly here:

  • WildWorldImportersDW-Full.bak [47.7mb]

Copy the .bak file to the Docker Container

You’ll only need to do this step if your .bak file is located outside the Docker container (which it will be if you just downloaded the WideWorldImporters .bak file).

First, let’s create a folder inside the Docker container:

Now copy the database .bak file into that folder:

This command assumes you’re in the same directory as the .bak file. If not, either change into the directory first using. For example:

or whatever folder it’s in.

Why do we need to Copy the .bak File?

The Docker container has its own file system, and it lives kind of independently of your Mac’s file system. So when you try to navigate to the .bak file in Azure Data Studio (in the next step), you’ll find yourself “stuck” inside the Docker container’s file system, with no way of accessing the .bak file on your Mac’s file system. Therefore, we copy the .bak file to the container’s file system first, then we can access it via Azure Data Studio.

Restore the Database

OK, now we can do the actual database restore process.

The following steps assume you’ve already got Azure Data Studio running, and you’ve already connected to SQL Server.

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  1. From the Server Dashboard, click the Restore button
  2. At the Restore from heading, select Backup file from the dropdown menu
  3. At the Backup file path heading, click the ellipses (…)
  4. Navigate to the folder, select the .bak file and click OK
  5. Click Restore
  6. The restore might take a minute or two. The Task History will indicate when it’s ready

The database has now been restored.

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Check the Database

You’ll probably want to check that the database has in fact been restored. One way of doing this is to navigate to the database and run a quick query.

  1. Click on the Servers icon (top left of the screen)
  2. The database should now be listed under the Databases heading for the applicable server. If not, right click Databases and select Refresh
  3. Use the Azure Data Studio interface to run a query against the database. For example, right-click on the Tables node (after expanding the database) and click Select Top 1000. This automatically runs a query against that table, selecting only the top 1000 results

Microsoft Azure Data Studio is a free, cross-platform tool that can be used to manage SQL Server, Azure SQL Database, and Azure SQL Data Warehouse.

Azure Data Studio was formerly called SQL Operations Studio (while it was in preview release), and it was renamed to Azure Data Studio once it was moved to general availability (GA) on September 24, 2018.

Azure Data Studio uses a graphical user interface (GUI), so you can point and click your way around the interface. That said, Azure Data Studio is a lightweight tool, so not everything can be done using point and click. However, you can always point and click your way to the query editor, where you can run SQL queries for almost anything you need to do.

Azure Data Studio is available for the macOS, Linux, and Windows operating systems.

What can I do with Azure Data Studio?

Azure Data Studio lets you do stuff like:

  • Create databases and manage them
  • Browse database objects (such as databases, views, etc)
  • Execute SQL queries
  • View and save results as text, JSON, XML, or Excel
  • Edit data directly within a cell
  • Organize and manage database connections
  • Backup and restore databases

Features of Azure Data Studio

Some of the features of Azure Data Studio include:

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  • Multiple tab windows
  • Rich SQL editor
  • IntelliSense
  • Keyword completion
  • Code snippets and code navigation
  • Source control integration (Git and TFS)
  • Integrated terminal. You can run command line tools such as Bash, PowerShell, sqlcmd, bcp, ssh, etc right from within the SQLOPS interface.
  • Extensibility and extension authoring.

Why use Azure Data Studio?

There are many options for managing SQL Server, so you might be wondering why anyone would want to use Azure Data Studio. After all, there are command line tools like mssql-cli, sql-cli, and sqlcmd. And there are GUIs like SQL Server Data Tools (SSDT) and SQL Server Management Studio (SSMS).

In particular, SSMS has traditionally been a popular option, mainly because it was once included as an option during the SQL Server installation process. However, SSMS is now provided as a separate installation to SQL Server, so either way, if you want a GUI, you need to download and install it separately to your SQL Server installation.

One reason you might not use SSMS is that it’s a Windows application, so it’s not even an option if you’re running Linux or macOS. Also, SSMS is a a more full-blown management tool, which may be overkill, depending on your needs.

Azure Data Studio on the other hand, is a lightweight tool that can get you up and running quickly with SQL Server. And if you’re a database developer, it could be all you need (depending on how much DB admin work you need to do, if any).

One major benefit that Azure Data Studio has over SSMS is that it can run on Linux and macOS. So if you’re running Linux or Mac, definitely give Azure Data Studio a try.

Try Azure Data Studio

I’ve written a tutorial on how to install Azure Data Studio on a Mac and open a connection to SQL Server. Basically, installing Azure Data Studio is just as easy as installing any other software, so even if you use Linux or Windows, you should be able to work it out.

I’ve also written a quick tutorial on creating a database with Azure Data Studio, and how to restore a database with Azure Data Studio on a Mac in case you need it.

Download Azure Data Studio

Here’s the download page for Azure Data Studio.

Azure Data Studio Download For Mac Windows 7

And here’s the Azure Data Studio Github page.

Azure Data Studio (previously known as SQL Operations Studio) is a free tool that you can use to manage SQL Server. It uses a graphical user interface (GUI) that helps you view the various databases and objects within a SQL Server instance. It can run on Windows, macOS, and Linux, and it’s also designed to be used with Azure SQL Database, and Azure SQL Data Warehouse.

Here I explain how to install Azure Data Studio onto a Mac, then how to use it to connect to SQL Server.

Install Azure Data Studio

To install Azure Data Studio onto your Mac:

  1. Visit the Azure Data Studio download page, and click the .zip file for macOS
  2. Once the .zip file has finished downloading, double click it to expand its contents
  3. Drag the .app file to the Applications folder (the file will probably be called Azure Data Studio.app)

If you use Windows or Linux, the above linked page also includes download files for those platforms, as well as instructions for installing.

Connect to SQL Server

Now that Azure Data Studio is installed, you can use it to connect to SQL Server.

  1. Launch Azure Data Studio just as you would launch any other application (e.g. from the Launchpad or Applications folder)
  2. Enter the login credentials and other information for the SQL Server instance that you’d like to connect to: Mine looked like this (based on my SQL Server on a Mac tutorial):
    • Server Name: localhost
    • Authentication Type: SQL Login
    • User name: sa
    • Password: reallyStrongPwd123
    • Database Name: <default>
    • Server Group: <default>

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If you use a port other than the default 1433, click Advanced and enter it in the Port field.

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Alternatively, you can append it to your server name, with a comma between. For example, if you use port 1400, use localhost,1400.

Once Azure Data Studio has connected to the SQL Server instance, you’ll be presented with the server dashboard, which looks something like this:

You can now go ahead and create databases, run scripts, and perform other SQL Server management tasks.

Error when Connecting?

If you receive an error when trying to connect, check that SQL Server is in fact running.

The above example connects to SQL Server running on the local machine (localhost refers to the local machine). In our case, the local machine is a Mac.

Therefore, the above steps assume that you’ve already installed SQL Server on your Mac.

If you’ve previously installed SQL Server on your Mac, but you still get a connection error, make sure your Mac has Docker running and you’ve started the SQL Server Docker container.

Below are instructions for launching Docker and starting the Docker container.

Azure Mac Os Virtual Machine

Open Docker and Start the Docker Container

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  1. Open Docker just as you would open any other application (e.g. via the Launchpad, Applications folder, etc).
  2. Once Docker is running, open your Terminal and start the Docker container. It should look something like this:

This starts a previously stopped container called sql_server_demo. This is the name that I gave the container in my SQL Server on a Mac tutorial. You’ll need to modify this command to suit your own container’s name.

What Next?

Now that you’ve installed Azure Data Studio on your Mac, you might be wondering where to start?

Here’s how to create a database in Azure Data Studio to get you started.

And here’s how to restore a database using Azure Data Studio, written specifically for the Mac.