Power BI is a powerful BI tool, but it sadly doesn't support Mac devices.
A couple of years ago, I was working for a company where 90% of our staff had a MacBook and loved it, but there was no way for our Data Team to work with Power BI to build out reporting. Then we turned to another tool named Holistics, a cloud-based one.
In this post, I will share my experiences implementing Power BI on Mac OS, which I hope is helpful to you if you are looking for a solution.
Disclaimer: I fell in love with Holistics at the previous company, and am now working for Holistics!
Our 3 solutions for running Power BI on Mac
Since Power BI can't run on a Mac, here are our recommendations to run Power BI on Macintosh Devices.
- Install and run Power BI on a Virtual Machine, then remote in to that Virtual Machine.
- Install and run Power BI on a PC, then use a remote viewer to control that PC.
- Use an alternative BI solution.
- Install Windows on Mac using Boot Camp
Power BI's support for Mac Devices
To give you a little context about Microsoft's plan on supporting Power BI on Mac devices, they are not considering developing Power BI desktop for Mac devices anytime soon.
You can also visit this link to keep track of their upcoming plans.
1. Run Power BI on a Virtual Machine
You can set-up a Windows Virtual Machine on Azure, Google Cloud or AWS.
- Azure: https://azure.microsoft.com/en-us/services/virtual-machines/ (starting from $61/month)
- AWS: https://aws.amazon.com/getting-started/tutorials/launch-windows-vm/
Then you install and run Power BI on that Virtual Machine.
Finally, install Microsoft Remote Desktop for Mac on each device to give your team access to that VM.
There are a couple of disadvantages to this approach, however:
- It's difficult to control permission access and version history.
- You can only have one person working on a machine at a time, since Power BI for desktop is not a collaborative tool.
2. Run Power BI on a PC then remote in to that PC
It's a little bit the same with the first method, however, this time, you use a physical machine.
You set-up a Windows PC, install and run Power BI on that PC.
Cons: same with the first method, and you have to maintain a physical PC.
3. Use other alternative BI tools
Power BI is powerful — it helps your team consolidate data and build dashboards and reports with a powerful data modeling layer. It's not easy to find a great tool in the market to replace Power BI, but here are two alternative solutions I recommend which is 100% cloud-based, can replicate its functionalities, and in some cases do even more.
For Power BI vs other BI tool comparison articles, check them out here:
- Top 5 Alternatives to Power BI: A Detailed Comparison
- Power BI vs Google Data Studio
- Power BI vs Looker
- Power BI vs Tableau
Holistics is a powerful self-service BI (business intelligence) platform that allows non-technical user to create their own charts, without writing SQL. Data team can save time by setting up a re-usable and scalable data analytics stack, with minimal engineering resources.
It not only gives data analysts and data engineers a powerful SQL-based data modeling approach, but it also helps them minimize writing SQL queries and automate reporting. Holistics is also designed to empowers non-technical users to get insights with a strong self-service analytics offering.
2. Looker + StitchData
Looker is a business intelligence and big data analytics platform that helps you explore, analyze and share real-time business analytics easily.
Looker is also a powerful server-based Data Modeling BI tool, however, they don't support Data Transforms and Data Imports, so you will need another tool for that called StitchData. Together, you get all the power of Power BI with none of the Windows lock-in.
4. Install Windows on Mac using Boot Camp
Boot Camp is a utility that helps you install Microsoft Windows 10 on your Mac, then switch between macOS and Windows when restarting your Mac.
I like Power BI's product, but it is difficult to keep using Power BI given that the tool is built exclusively for the Windows Desktop. Instead of allowing your data team to work collaboratively, your data pipeline will depend on Windows. This is difficult and restrictive if your organization works primarily on Mac.
The upshot here is that if you do not use a Microsoft-stack at your organization, a 100% cloud-based solution would be a better fit for your needs.
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