Mathematica Professional, Scientific, and Technical Services Reviews & Insights

Score8.2 out of 10

30 Reviews and Ratings

Community insights

TrustRadius Insights for Wolfram Mathematica are summaries of user sentiment data from TrustRadius reviews and, when necessary, third party data sources.

Pros

Versatility: Users have appreciated the versatility of Wolfram Mathematica, with multiple reviewers mentioning its support for various programmatic paradigms such as pure functions, procedural programming, list processing, and even object-oriented programming with a bit of setup.

Graphical Rendering Tools: Reviewers have found the extensive and rich tools for graphical rendering in Wolfram Mathematica to be very helpful. They mentioned that it not only allows for 2D and 3D renderings of final output but also enables quick-and-dirty 2D and 3D rendering of intermediate and debugging results.

AI and KI Data Analysis: Several users consider Wolfram Mathematica to be excellent for solving a wide range of mathematical problems, including PDEs. They highlight its strength in AI and KI data analysis, making it a preferred choice for tackling complex analytical challenges.

Mathematica Reviews

5 Reviews

Professional, Scientific, and Technical ServicesInformation Technology & Services4Design1

Mathematica Cloud - have you used it?

Rating: 9 out of 10

Incentivized

June 20, 2019

Use Cases and Deployment Scope

We use Mathematica for quantitative analysis of data, data visualization, pattern recognition and prediction.

Pros

Analytic Calculus and Algebra
Complex Equation Solving
Data Analytics
Reference for definitions and data standards

Cons

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

Likelihood to Recommend

Overall data analytics and mathematical modelling, problem solving, data visualization. Analytic solution to algebraic and differential equations, validation of solutions, financial modelling, predictive analytics.

Yaj Bhattacharya

Director in Research & Development at Info-Tech Research Group (Information Technology and Services, 501-1000 employees)

Vetted Review

20 years of experience

Amazing mathematical computation tool

Rating: 8 out of 10

Incentivized

February 7, 2019

Use Cases and Deployment Scope

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.

Pros

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.

Cons

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.

Likelihood to Recommend

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.

Rounak Jangir

Ab Initio Developer in Research & Development at Tata Consultancy Services (Information Technology and Services, 10,001+ employees)

Vetted Review

1 year of experience

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Mathematica: great for Origami

Rating: 10 out of 10

Incentivized

November 9, 2018

Use Cases and Deployment Scope

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.

Pros

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.

Cons

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.

Likelihood to Recommend

It works very well for modeling origami.

Robert J. Lang

Artist/Consultant at Langorigami.com (Design, 1-10 employees)

Vetted Review

20 years of experience

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One of the best computation engines

Rating: 8 out of 10

Incentivized

October 12, 2018

Use Cases and Deployment Scope

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.

Pros

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

Cons

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

Likelihood to Recommend

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.

Shalinee Singh

Software Engineer in Information Technology at COVIAM (Information Technology and Services, 201-500 employees)

Vetted Review

1 year of experience

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Best computation knowledge engine with great power

Rating: 8 out of 10

Incentivized

August 17, 2018

Use Cases and Deployment Scope

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.

Pros

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.

Cons

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.

Likelihood to Recommend

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.

Gaurav Yadav

Software Developer in Engineering at COVIAM (Information Technology and Services, 201-500 employees)

Vetted Review

1 year of experience

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Best computation knowledge engine with great power

Rating: 8 out of 10

Incentivized

August 17, 2018

Use Cases and Deployment Scope

Pros

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.

Cons

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.

Likelihood to Recommend

Gaurav Yadav

Software Developer in Engineering at COVIAM (Information Technology and Services, 201-500 employees)

Vetted Review

1 year of experience

View profile