Score 9.0 out of 10
Wolfram Mathematica


What is 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.
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Recent Reviews

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Popular Features

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  • Formatting capabilities (8)
  • Pre-built visualization formats (heatmaps, scatter plots etc.) (9)
  • Drill-down analysis (8)
  • Report sharing and collaboration (9)

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Standard Cloud


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Standard Desktop


On Premise
one-time fee

Standard Desktop & Cloud


On Premise
one-time fee

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  • No setup fee
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BI Standard Reporting

Standard reporting means pre-built or canned reports available to users without having to create them.

9.9Avg 8.1

Ad-hoc Reporting

Ad-Hoc Reports are reports built by the user to meet highly specific requirements.

9.9Avg 7.8

Report Output and Scheduling

Ability to schedule and manager report output.

9.3Avg 7.9

Data Discovery and Visualization

Data Discovery and Visualization is the analysis of multiple data sources in a search for pattern and outliers and the ability to represent the data visually.

9.8Avg 7.8
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Product Details

What is 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

Deployment TypesOn-premise, Software as a Service (SaaS), Cloud, or Web-Based
Operating SystemsWindows, Linux, Mac
Mobile ApplicationNo

Frequently Asked Questions

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.

Reviewers rate Customizable dashboards and Report Formatting Templates and Drill-down analysis highest, with a score of 9.9.

The most common users of Mathematica are from Mid-sized Companies (51-1,000 employees).
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Reviews and Ratings


Attribute Ratings


(1-9 of 9)
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Steffen Jäschke | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
In our organization we use Wolfram Mathematica as a knowledge engine. The knowlegde is rudimentally used as associations and early or late rules. We enjoy the enornous versatility of the Mathematica libraries for mathematical problems. We focus on optimization, computing and representation of problems and solutions. Mathematica offers a high degree of coverage of Mathematics by the corpui of Wolfram Mathematica. The mCAX system does not offer everything but it opens the fields of Mathematics wide and often deep. As for partial differential equations we favour that there are benchmarks avialable already freely over the internet to compare Wolfram Mathematica powers to that of competitors or even harder sometimes to standardization library. State-of-the-art does not come from little efforts and single scientist nowadays and large scale cluster computing is still not all what makes up innovations. We use often the convolution powers of Mathematica because that is the Mathematics of the future from our standpoint.

Wolfram Mathematica provide a 5th generation language with many features agglomerated from the very best programmatic paradigms. The philosophy knowledge is what works is overcome by the eclectic means for selecting the best performing ones for the orientation of high efficiencies. Wolfram Mathematica provides a satisfying amount of educational and deep Math knowledge and numerical routines. We enjoy the covering features set for visualization. The sets of data analysis and as well graphical as geometrical calculations are convincing. We have great success with the interactivity features making all the knowledge clear and transparent for customers.
  • Wolfram Mathematica is great in AI and KI data analysis.
  • Wolfram Mathematica is great in solving of any kind of mathematical problem for examples PDEs.
  • Wolfram Mathematica has efficient and versatile feature for visualization problems.
  • Wolfram Mathematica offers a selection of the efficients programming paradigms is therefore one of the first choices for programming on the 5th level of programming languages.
  • The notebook interface is a to strict choice for the in and out paradigma. Hidding information may be a better choice sometimes for a better understanding. It is not well MathML friendly.
  • Mathematica is too properitary. Other venturers are able to integrate user initiative better into the corpui the represent. It is too slow for many information innovation and in part to restricted to a tough internet integration. Efforts for integration of for example information markups from standards of the ISOOSI stack and else are missing or to tedious to program from scratch.
  • Mathematica is not very well at import and export. Too many formats of interest are missing and there is much knowledge hidden behind for a better efficiency.
  • Mathematica focusses to much on properitary formats like notebook and cdf. Microsoft is far ahead and has survived the fears hidden behind that behaviour.
  • Other decision are not handed open enough to the users of Wolfram Mathematica for example with the integrated use of standards in Mathematics.
We are the judgement that Wolfram Mathematica is despite many critics based on the paradigms selected a mark in the fields of the markets for computations of all kind. Wolfram Mathematica is even a choice in fields where other bolide systems reign most of the market. Wolfram Mathematica offers rich flexibility and internally standardizes the right methodologies for his user community. Wolfram Mathematica is not cheap and in need of a hard an long learner journey. That makes it weak in comparison with of-the-shelf-solution packages or even other programming languages. But for systematization of methods Wolfram Mathematica is far in front of almost all the other. Scientist and interested people are able to develop themself further and Wolfram Matheamatica users are a human variant for themself. The reach out for modern mathematics based science is deep and a unique unified framework makes the whole field of mathematics accessable comparable to the brain of Albert Einstein. The paradigms incorporated are the most efficients and consist in assembly on the market. The mathematics is covering and fullfills not just education requirements but the demands and needs of experts.

Mathematica is incompatible with other systems for mCAx and therefore the borders between the systems are hard to overcome. Wolfram Mathematica should be consider one of the more open systems because other code can be imported and run but on the export side it is rathe incompatible by design purposes. A better standard for all that might solve the crisis but there is none in sight. Selection of knowledge of what works will be in the future even more focussed and general system might be one the lossy side. Knowledge of esthetics of what will be in the highest demand in necessary and Wolfram is not a leader in this field of science. Mathematics leves from gathering problems from application fields and less from the glory of itself and the formalization of this.
Score 9 out of 10
Vetted Review
Verified User
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.
They are quite responsive, but I think a better help document would be great.
Score 9 out of 10
Vetted Review
Verified User
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.
Wolfram Mathematica is a nice software package. It has very nice features and easy to install and use in your machine. Besides this, there is a nice support from Wolfram. They come to the university frequently to give seminars in Mathematica. I think this is the best thing they are doing. That is very helpful for graduate and undergraduate students who are using Mathematica in their research.
Score 9 out of 10
Vetted Review
Verified User
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.
Rounak Jangir | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
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.
Robert J. Lang | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
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.
George Danner | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
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
Shalinee Singh | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
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.
Gaurav Yadav | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
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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