Wolfram Mathematica vs Microsoft Power BI: Which is a better fit?

Tigran: Hello, my name is Tigran. I'm a university professor and I give Wolfram Mathematica the rating of five. For more reviews like this, please click the link down below. I use Mathematica for solving research problems and also to demonstrate to students how to do analytical and numerical calculations. Mathematica is a great tool for both, and I'm using it since 2005, and I think this is a great product. I really like the functionality and how it improves with time. I really like the option of solving partial differential equations of various forms. And the best thing about Mathematica is actually solving analytical problems. So some of the problems I cannot do by hand and I have to figure out another way to do this through some computing package. And I think that Wolfram Mathematica is the best because it also allows to do parallel calculations. So I don't have to wait for long enough. I can start a hundred different queues and a hundred different processes and do things simultaneously. What I dislike the most is probably the pricing. I'm being lucky that I have a free license from my previous employer, the Caltech. However, if I had to use it myself, it would be probably too pricey.

Eric H.: Hi, my name is Eric. I'm a CFO, I give Power BI four stars. And for more reviews like this, please click below. Before Power BI, we used Tableau. We used it on a trial basis, and while it was all right, an early leader in this space, it just didn't integrate as well as Microsoft Power BI with the whole suite of products that we use as a company. We chose Power BI because it is easy to integrate with the rest of the Microsoft Office Suite, especially Excel. It has powerful analytics tools and it allows for some pretty cool graphics and dashboarding as part of that data visualization suite. It was relatively easy to get started with Microsoft Power BI. The integration with the rest of the Microsoft Office Suite really helps. There is some challenges though with data integration, making sure that the data is in the right format to be loaded into Power BI, but once you go from there, it's pretty easy and feels very intuitive if you're used to the rest of the Microsoft Office Suite. My advice for anyone looking to implement Microsoft Power BI would be to first watch some YouTube videos or take a tutorial or maybe even a class. Getting the data validation, data integration piece is really key to the functionality of the system. It can pull in some awesome graphics, some really good dashboards and analytics, but if you don't set up the data right, you'll never get it to work properly.