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Mathematica, an advanced software tool, has proven to be invaluable for a wide range of use cases. Academic and research settings find it …
Starting at $1,520 per year
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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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- Formatting capabilities (8)9.999%
- Pre-built visualization formats (heatmaps, scatter plots etc.) (9)9.999%
- Drill-down analysis (8)9.999%
- Report sharing and collaboration (9)9.999%
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$1,520
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$3,040
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one-time fee
Standard Desktop & Cloud
$3,344
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one-time fee
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What is Mathematica?
Mathematica Technical Details
| Deployment Types | On-premise, Software as a Service (SaaS), Cloud, or Web-Based |
|---|---|
| Operating Systems | Windows, Linux, Mac |
| Mobile Application | No |
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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TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!
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Mathematica, an advanced software tool, has proven to be invaluable for a wide range of use cases. Academic and research settings find it particularly useful for heavy computation, data visualization, and matrix operations. Users appreciate its versatility, combining features from different programming paradigms to achieve high efficiencies. Mathematica is highly regarded for its coverage of mathematics, providing a comprehensive set of tools for solving complex mathematical problems and generating visually appealing plots. It is also commonly used in physics and engineering research, where it serves as a valuable tool for graduate students, professors, and researchers. Students and faculty in various disciplines, such as engineering, math, and statistics, rely on Mathematica to quickly solve numerical problems and gain insights into overall solutions. Additionally, consulting firms utilize Mathematica to tackle challenging problems for large corporations with complex operations. These varied applications showcase the power and utility of Mathematica across a wide range of industries and domains.
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.
Slowness of numerical routines: Some users have expressed dissatisfaction with the speed of Wolfram Mathematica compared to C code implementation for numerical routines.
Incomplete implementation of new functionality: Reviewers have noted that certain new functionalities in Mathematica, such as limited MeshRegions, are not fully implemented, which can be frustrating for users looking to utilize these features.
Crashes on Windows platform: Several users have reported experiencing crashes on the Windows platform when using Mathematica, indicating that the underlying core of the software does not work equally well across platforms.
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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.
July 02, 2020
Excellent for quick insights into complex integrals!
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.
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.
June 20, 2019
Mathematica Cloud - have you used it?
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
February 07, 2019
Amazing mathematical computation tool
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.
November 09, 2018
Mathematica: great for Origami
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.
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.
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.
October 12, 2018
One of the best computation engines
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
August 17, 2018
Best computation knowledge engine with great power
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.