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How to install SQL Operations Studio (SQLOPS) so you can manage SQL Server straight from your Mac!
SQL Operations Studio0.27.3 for Mac is free to download from our application library. This free software for Mac OS X is a product of Microsoft. SQL Operations Studio for Mac lies within Developer Tools, more precisely DB Tools. The most recent installation package that can be downloaded is 121.6 MB in size. Microsoft Sql Server Management Studio Download And Install; Microsoft Sql Server Management Studio Download And Install. Because the Mac runs SQL Server inside a Docker container, the first thing we need to do is download and install Docker (unless its already installed). Once installed, well increase its memory allocation to a more suitable.
Microsoft Sql Operations Studio
SQL Operations Studio (SQLOPS) is a free, lightweight management tool for managing SQL Server. It's free, and it's available for macOS, Linux, and Windows.
Microsoft Sql Studio Download
Here are instructions for installing it on a Mac. I also demonstrate how to connect to SQL Server once you've installed it.
Download SQL Operations Studio
Go to the SQL Operations Studio download page, and click the .zip file for macOS (there are also options for Windows and Linux if you need them).
Install SQL Operations Studio
Once the .zip file has downloaded, double-click it to expand its contents. Then drag the .app file to your Application folder (it will probably be called either SQL Operations Studio.app or sqlops.app or similar).
Launch SQL Operations Studio
Launch SQL Operations Studio (by clicking on its icon in your Launchpad or the Applications folder).
Connect to SQL Server
Enter the SQL Server connection details.
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Here are the details I used on the SQL Server installation tutorial:
- Server Name: localhost
- Authentication Type: SQL Login
- User name: sa
- Password: myPassw0rd
- Database Name:
- Server Group:
You've now connected to SQL Server with SQL Operations Studio. Once logged in, the Server Dashboard is displayed:
Connection Error?
If you're trying to connect to SQL Server on your Mac, make sure your Mac has Docker running and you've started the SQL Server Docker container.
Here's how:
- Open Docker just as you would open any other application (via the Launchpad, Applications folder, etc).
- 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 Homer. You'll need to modify this command to suit your own container's name.
For the first time, SQL Server 2017 allows users to install the product on Linux. This opens the doors for working with fully-featured SQL Server database engines on MacOS through freely distributable Docker containers. With the addition of a new graphical user interface that's in public preview, Mac users can now leverage the same industry-leading database platform that has previously only been available to Windows users, all on their local computer. Let me show you how to get started in three easy steps.
1. Install Docker
The first step is to install Docker. Start at https://store.docker.com/editions/community/docker-ce-desktop-mac, and click the Get Docker button on the top right. That will download a disc image containing the application. Drag Docker.app into your Applications folder and give it a double-click to launch. Look for the Docker icon in the top menu bar. When the animation stops, Docker is ready to go. Step one: done.
2. Pull the SQL Server 2017 container
Next, start up Terminal.app. This is where you'll issue commands to Docker. Microsoft provides pre-configured images that include the Developer edition of SQL Server 2017 running on Ubuntu Linux. You can pull the most recent version with the following command.
After supplying your MacOS Administrator password, the image is downloaded.
Docker images need to be unpacked into containers, and a single image can be used to create as many identical containers as you'd like; just be sure to give them unique names. The following command will create a single container called 'sqlserver1' from the image you just downloaded. A couple of points:
Note that you'll want to provide your own strong password for the SQL Server System Administrator account. Just replace 'YourStrong!Passw0rd' with something better.
Port 1401 on the local computer will be forwarded to SQL Server's default listening port of 1433 inside the container. This will be important to remember later.
Make sure that you forward a different port to 1433 if you decide to create additional containers.
To verify that everything is working as intended, you can check the status of Docker's containers.
You should see a line for the container and, hopefully, a status of 'up.' If you see 'exited' here, go back and double check the previous commands were typed correctly. You can also try 'docker stop sqlserver1' followed by 'docker start sqlserver1' to reset the server. With the container now running, you're done with step two.
3. Install SQL Operations Studio
Microsoft is in the beginning stages of developing a cross-platform graphical user interface for SQL Server called SQL Operations Studio. Though it's still in an early public preview, SQL Ops Studio is already showing promise as a robust, lightweight interface that brings the best of SQL Server Management Studio (a venerable workhorse, but sadly Windows-only) over to the Mac and Linux platforms. The Ops Studio GitHub page will be your source of information as the project progresses. Head over to the GitHub repository, scroll down to the first section of the readme and download the MacOS zip containing the latest stable preview.
Upon Operations Studio's first launch, the Connection window will automatically prompt you for login credentials. Use 'localhost' as the name of the server, 'SA' as the user name, and fill in the password that you established when the Docker container was created. Then press the Advanced button, and scroll through the properties list until you get to the General section. Fill in the port number of 1401 here, or whichever port you're passing to SQL Server's 1433 listening port. Press OK, then Connect.
That should connect, and pass you back to the main interface. If you've ever seen Visual Studio Code, then you'll instantly recognize the interface's clean and well-organized layout. On the left is a listing of servers you're connected to. Expand the server folder to explore databases, security items and so on.
You're now up and running with the SQL Server database engine running in a Docker container, and you can manage it with Operations Studio on your Mac!
Bonus step 4. Start working with your new SQL Database Engine
What good is a server without a database? Right-click the Databases folder, and choose New Query. In the SQLQuery1 tab, type in the following command.
Press the Run button to create your first database, which you should see pop up under the Databases folder. You might need to right-click the databases folder and choose Refresh if it doesn't show up immediately.
Operations Studio has a great feature called Snippets that help you quickly write common T-SQL commands. Clear out the CREATE DATABASE statement and change the Connection drop-down at the top to MyDatabase. Type 'sql' to see the list of included snippets presented in the IntelliSense popup box.
Arrow down to sqlCreateTable and press Return. Operations Studio fills in all of the T-SQL to help you create a table in the database.
Notice that all of the TableName placeholders are selected, ready for you to overwrite them with your own name. Type it once, and each one gets updated simultaneously. Press the tab key to move over to SchemaName and change that to 'dbo' (since we haven't created any other schemas at this point). Then all that's left is to modify the Column1 and Column2 placeholders on lines 10 and 11, choose appropriate data types, and add additional columns as needed.
Press the Run button when done to create your first table, in your first database, on your SQL Server instance, running on Ubuntu Linux, inside of a Docker container, on your Mac.
You're done!
Welcome from SQL Server 2017: Linux, Docker, and macOS by Adam Wilbert
','resolvedBy':'manual','resolved':true}'>Welcome from SQL Server 2017: Linux, Docker, and macOS by Adam Wilbert
Dig in deeper with my course SQL Server 2017: Linux, Docker, and MacOS
I go into way more detail on the process of working with SQL Server on these newly available platforms in my newest course here on LinkedIn Learning. In it, I demonstrate the process of setting up SQL Server on Linux, use the sqlcmd command line tool, dive deeper into Docker, and connect instances to and from other machines on the network. Or, for more information on how to use SQL Server now that you're up and running, check out Learn SQL Server 2017.
Adam Wilbert is a LinkedIn Learning / Lynda.com author of over forty courses on SQL Server, Microsoft Access, database design and development, and mapping with ArcGIS. Come say 'hi' on Twitter: @awilbert.
