Mathematica Reviews

26 Ratings
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Score 8.8 out of 100

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Reviews (1-9 of 9)

Anonymous | TrustRadius Reviewer
June 29, 2020

Mathematica is great for mathematical operations and analysis

Score 9 out of 10
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We are using Wolfram Mathematica in our physics department. Many professors as well as graduate students are using it in their research work. As a graduate student, I am using it regularly in my research. It is very useful tool in physics and engineering research. Our physics department has been using Wolfram Mathematica for many years.
  • Plotting and charting.
  • Numerical calculation.
  • Animation.
  • Matrix multiplication and mathematical functions.
  • Should include more libraries and functions.
  • Should include more functions that can be used in Machine Learning.
  • Should include more functions that can be used in Data Science.
Mathematica is very useful in calculus problem. It deals greatly with mathematical operations such as differentiation, integration, matrix multiplication and so on. Simple data analysis is very easy using Mathematica. Mathematica has great functions for plotting and charting the data.
It has some good features included in Machine Learning model. But there are many functions that can be included in Mathematica for better improvements. So, Machine Learning and Artificial Intelligence will be easier in Mathematica.
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Anonymous | TrustRadius Reviewer
July 02, 2020

Excellent for quick insights into complex integrals!

Score 9 out of 10
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Wolfram Mathematica is being used by students and faculty at Virginia Tech. Engineering, Math, and Stat students use it occasionally. It mostly helps students solve some numerical problems very quickly and to get a hunch of the overall solution (if available).
  • Computation of integrals and sums in "closed form" (if possible) very quickly, much better than MATLAB
  • For an engineer, it can act as a very good complement to MATLAB.
  • It's very user-friendly.
  • I do not see any negative points about Wolfram Mathematica so far! Maybe just improve the readability of the "help" environment, something similar to the strong "help" of MATLAB.
Wolfram Mathematica is excellent for closed-form solutions of integrals.
It has some room for improvement in numerical analysis.
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Anonymous | TrustRadius Reviewer
December 05, 2019

Great program for symbolic calculus

Score 8 out of 10
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Mathematica is a great tool for solving mathematical problems. Compared to other alternatives programs, such as Maple or MATLAB, Mathematica is more often used in my work group as the go-to tool for solving symbolic maths problems, such as integration and differentiation, and then simplifying expressions, which can be used to assist and verify handwritten calculations.
  • Symbolic differentiation
  • Symbolic integration
  • Simplifying expressions
  • Quick plots
  • Not a fault as such, but there are instances of simple problems where Wolfram Alpha can be used more easily instead.
Mathematica is well suited to solving symbolic calculus problems, including derivatives, integrals, simplifying expressions and collecting similar terms. This can help with a handwritten calculation and to verify that one has not made any mistakes.
For numerical problems, I prefer to use MATLAB and for the simplest problems I prefer Wolfram Alpha.
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Yaj Bhattacharya | TrustRadius Reviewer
June 20, 2019

Mathematica Cloud - have you used it?

Score 9 out of 10
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We use Mathematica for quantitative analysis of data, data visualization, pattern recognition and prediction.
  • Analytic Calculus and Algebra
  • Complex Equation Solving
  • Data Analytics
  • Reference for definitions and data standards
  • Mathematica forum is often cold and unresponsive
  • Mathematica online forum is not handled professionally by moderators - lacks warmth
  • Mathematica official support is cold and curt
Overall data analytics and mathematical modelling, problem solving, data visualization. Analytic solution to algebraic and differential equations, validation of solutions, financial modelling, predictive analytics.
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Rounak Jangir | TrustRadius Reviewer
February 07, 2019

Amazing mathematical computation tool

Score 8 out of 10
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Mathematica is basically used by few of us who are doing some kind of work around machine learning and mathematics. Most of the time we have used this tool to solve some mathematical calculas differentiation problem, apart from that I have also used its API of speech and machine learning. And not everyone was using this, it is restricted to specific departments only.
  • Mathematica performs well when it comes to solve the mathematical problem specifically from calculus.
  • You can ask mathematica in natural English language and it will understand and will give you answers.
  • It has been good while performing analysis on data. It's easy to plot nice graphs/plot with this tool.
  • Also, the way it solves the problem and represents the solution is just amazing. You can see step by step solutions.
  • It is not easy to use this tool as it has it's own scripting language and learning that is not straight forward.
  • On machine learning part of it, I think it should and can improve as there are other tool as well like TensorFlow, Keras which are doing very good.
  • It's a very heavy tool to install on community system and will be good if we can integrate this other tool like TensorFlow, python.
I think Mathematica is the best computational engine as of now. You can just ask a maths question and it will answer in great detail. It performs very well when you need to solve any kind of calculus problem of integration or operations over a matrix. And it is not very much well suited when you are doing some work in machine learning. I think for machine learning other tool will work better.
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Robert J. Lang | TrustRadius Reviewer
November 09, 2018

Mathematica: great for Origami

Score 10 out of 10
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I use Mathematica as my "Swiss army knife" of analysis, design, and modeling of origami-related structures and mechanisms. It allows me to model origami problems at varying levels of idealization, ranging from simple 2-D polygonal models, to 3-D shapes with thickness, stress/strain relationships, and analytic descriptions of curved folding.
  • It allows straightforward integration of analytic analysis of algebraic expressions and their numerical implemented.
  • Supports varying programmatic paradigms, so one can choose what best fits the problem or task: pure functions, procedural programming, list processing, and even (with a bit of setup) object-oriented programming.
  • The extensive and rich tools for graphical rendering make it very easy to not just get 2D and 3D renderings of final output, but also to do quick-and-dirty 2D and 3D rendering of intermediate results and/or debugging results.
  • It is, unfortunately, quite slow compared to, say, C code implementation of numerical routines. (However, getting a routine up and running is still vastly faster in Mathematica, so the tradeoff is worth it.)
  • New functionality is sometimes not implemented as fully as it could be: MeshRegions are still fairly limited.
  • The underlying core doesn't work equally well across platforms: things that run fine on Mac crash on Windows.
It works very well for modeling origami.
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George Danner | TrustRadius Reviewer
November 09, 2018

Wolfram Mathematica is the platform of choice for solving insanely hard problems

Score 10 out of 10
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Wolfram Mathematica is a desktop environment for building applications in the Wolfram Language. The Wolfram Language, in turn, is a functional programming utility for solving all sorts of complex problems in a wide variety of fields, from science to business and government.

Ours is a consultancy that uses tools like Mathematica to solve insanely hard problems for our clients, which are mostly large corporations with complex operations. Everyone at our small firm uses Mathematica in one way or another.

While Mathematica can quite literally do anything, the most common use case is as a means to build a mathematical model or representation of some complex system that one wishes to study using data. Along the way the model builder can use the vast array of internal functions (6500 or so at last count) to perform operations as diverse as image processing, statistics, and optimization. The real benefit of Mathematica is in its ability to allow model builders to generate such models very quickly with less code than other languages like Python or R.
  • You can stay in one environment as you progress from idea to prototype to production code to deployment; this hastens the development cycle at every step along the way
  • You can take advantage of the thousands (> 6000) functions that perform many math and logic transformations that are common to analysis today
  • The notebook interface is a very natural way to program, and allows code to be interwoven with explanatory text.
  • Mathematica is one of the most stable software platforms in the world, in existence for 30 years.
  • Depending on the size of the application, the cost of licenses can be prohibitive in some cases, especially for Wolfram Private Cloud.
Well suited for:
  • A data science or analytics team performing analysis in support of a business problem
  • Building a sandbox for corporate analytical capability
  • Rapid prototyping of ideas for helpful applications of scientific/engineering/technical approaches
  • Building intelligent algorithms that underlie systems or web applications

Less appropriate for:
  • Full scale web application development
  • User interface development
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Shalinee Singh | TrustRadius Reviewer
October 12, 2018

One of the best computation engines

Score 8 out of 10
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Wolfram is used for analytics purpose and some time we use this for audio and image processing as well. And, I myself use this product for solving problems of mathematics which include calculus. This tool is very powerful for analysis and it generates very good looking plots. Solving mathematical problem using this is very interesting.
  • Doing the analysis is very good, plotting the data, getting the insight from data using this is easy and output looks pretty good
  • Solving mathematical problems, with detailed solutions step by step (mainly calculus problems)
  • You can also query this knowledge engine in simple English. It has ability to interpret that and will give you answer accordingly
  • Nowadays, it provides API to use, so you can do image processing, video/audio using this
  • Needs lot of learning. Wolfram has a very vast language. It take lots of time to understand and learn it
  • Input system is not good, that needs improvement.
  • Sometimes, writing an equation is very difficult in this tool
If you are doing some kind of analysis and want most of the thing automated then I would suggest using this tool. Also, if you are developing any solution which includes solving big mathematical equations and need to do some image processing, then you should use this.
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Gaurav Yadav | TrustRadius Reviewer
August 17, 2018

Best computation knowledge engine with great power

Score 8 out of 10
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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.
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.
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Feature Scorecard Summary

Pixel Perfect reports (3)
Customizable dashboards (3)
Report Formatting Templates (5)
Drill-down analysis (7)
Formatting capabilities (7)
Integration with R or other statistical packages (6)
Report sharing and collaboration (8)
Publish to Web (6)
Publish to PDF (8)
Report Versioning (6)
Report Delivery Scheduling (4)
Delivery to Remote Servers (4)
Pre-built visualization formats (heatmaps, scatter plots etc.) (9)
Location Analytics / Geographic Visualization (7)
Predictive Analytics (7)

About Mathematica

Wolfram's flagship product Mathematica is a modern technical computing application featuring a flexible symbolic coding language and a wide array of graphing and data visualization capabilities.

Mathematica Technical Details

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