Best computation knowledge engine with great power
Gaurav Yadav | TrustRadius Reviewer
August 17, 2018

Best computation knowledge engine with great power

Score 8 out of 10
Vetted Review
Verified User
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Overall Satisfaction with Wolfram Mathematica

I have used Mathematica for doing heavy computation and for data visualisations. Basically, I have used this tool when I was in my college. It is being used by one department of our college who are doing some kind of research. We have used this to do the heavy operation around matrix and visualising the data. We are using this solve a research problem.
  • It is a very powerful tool for data visualisation and computation.
  • Solving mathematics mainly calculus is very easy. Visualising the solution step by step is a great thing you can see in this tool.
  • It's easy to do heavy computation like finding the inverse of a big matrix, doing matrix multiplications etc.
  • One of the best features is that it can also understand natural language. So, you can write a query in simple English and it can interpret that and can find a solution for you.
  • The first and the biggest con is that it takes a long time to learn this language. Writing a mathematical equation is not so easy in this tool. And its documentation is very big and sometimes I feel that the documentation is confusing.
  • Pricing for this tool is too high. Not everyone can afford to buy this product and the free trial has lots of limitation.
  • And I think the last con is that its interpreter is slow.
  • This tool helps to visualise the mathematical problem in a very easy way. It can show you the step by step solution to integral problems.
  • But when you are using the tool it may limit your understanding of the basic problem. And you may miss out on understanding the basic of mathematics itself.
  • It helped me a lot to do my thing in a very easy way. And understanding the data is also easy in this as you can easily visualize it.
I think IBM Watson Analytics is good alternative to Wolfram Mathematica. A few advantages of Mathematica over IBM Analytics is that Mathematica comes with a lot of inbuilt things like neural networks, predictive analysis geometry. And IBM analytics does not show the step by step solution of mathematical problem. Other than this, one product which is a good alternative to Mathematica is SageMath. But SageMath doesn't have a wide variety of tools available with it. And visualisation is not good in SageMath.
It will be very well suited when you are developing anything around mathematics as it can solve almost everything mathematics from calculus to algebra. Also, visualising data with this tool is very easy and efficient. Now, it also provides the speech and image API, so you can also use this tool while doing something around speech and images like speech to text conversion or finding some information out of images etc.

Mathematica Feature Ratings

Pre-built visualization formats (heatmaps, scatter plots etc.)
Location Analytics / Geographic Visualization
Predictive Analytics
Drill-down analysis
Formatting capabilities
Integration with R or other statistical packages
Report sharing and collaboration
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