TrustRadius Insights
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
View PricingOverview
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.
Recent Reviews
Popular Features
- 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%
Pricing
Standard Cloud
$1,520
Cloud
per year
Standard Desktop
$3,040
On Premise
one-time fee
Standard Desktop & Cloud
$3,344
On Premise
one-time fee
Entry-level set up fee?
- No setup fee
For the latest information on pricing, visithttps://www.wolfram.com/mathematica/pri…
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
Features
Return to navigation
Product Details
- About
- Tech Details
- FAQs
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).
Comparisons
Compare with
Reviews and Ratings
(30)
Community Insights
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!
- Business Problems Solved
- Pros
- Cons
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.
Attribute Ratings
Reviews
(1-5 of 5)Companies can't remove reviews or game the system. Here's why
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.
100%
10.0
100%
10.0
100%
10.0
94%
9.4
- Buying Wolfram Mathematica is expense and there is vast amount of general content with that purchase.
- Wolfram Mathematica cost of two orders of magnitude more than comparable systems with extension libraries except the direct contrahents and has therefore to deliver much more in return. That is really hard to achieve for everybody.
- Wolfram Mathematica is in need to be customized for business standards but offer best mathematical and programming standards. Many field are just waiting for the change to Wolfram Mathematica.
- Wolfram Mathematica is not the choice of several leaders in there markets. Following this leaders in hard and expensive despite it might result in highest ROis. Properitaries are always a drawback for high and efficient ROIs.
- Wolfram Mathematica needs efficient workarounds and deep knowledge to reproduce well known and established methodologies in knowledge centerer market.
There is no other alternative that Maple from Maplesoft all over. There are other systems for mCAx that do not offer the richness and coverage of mathematical features. For example Matlab that restricts inself to matrice calculation and only the the right set of addon library get comparable. Maplesoft does not have the attitudes that Wolfram has and therefore only in the publishing sector Maplesoft is ahead in offering features closer to the standards of textbooks. The field of publishing makes the difference between both. Maplesoft.
Maple is a weird mixture of procedural with functional, while Mathematica is a weird mixture of procedural with rewriting. So Maple leaves the customers with more problems than Mathematica does from the point of view of Mathematica users. Both vendorers offer booklet for comparison purposes that both leave more decisions to the reader than the pure reading of the systems descriptions of the products themself. It is hard to the describe the systems in short with the aim of sorrow. So it is a hard matter of selection what to compare from both package sets. Making use of both gives always the best learning effects compared to reading comparisons.
A great problem for the companies is that MatLab, Java or Python are more popular overall even though this system do grow into comparison far beyond technical computing purposes. Because of the lower investment in money the popularity is high and the community grows in industrial countries and those desiring to get industrialized. As long as there is no common standard the discrepancies will remain. Getting standards is not a small or short deal. One of the question is, are mCAx bolide system really diserable or are small subpackage more efficient and effective overall?
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.
86.66666666666666%
8.7
83.33333333333334%
8.3
87.5%
8.8
86%
8.6
- My research work is easier using Mathematica.
- Fast plotting and analysis of experimental data.
- Saving my time.
Well, Mathematica is free at my university. As a graduate student, you can download and install Mathematica in your device after log in through your university email. Second, it has very nice platform. You can use Mathematica for many data analysis such as plotting, integration and matrix multiplication. It is very easy and fast. I have been using this for about 3 years and I am familiar with it.
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
83.33333333333334%
8.3
33.333333333333336%
3.3
35%
3.5
42%
4.2
- No other single product matches the capabilities of Mathematica in terms of breadth of scope.
- Rather sharp learning curve, and takes years to master.
- Once mastered (learning curve), yields excellent ROI if leveraged properly.
MATLAB is an excellent tool, but it can't handle analytic manipulations in algebra, calculus and differential equations. MATLAB is superior when it comes to a less steep learning curve. In terms of using only one tool for analytic and numerical calculations, Mathematica wins. For simulation modelling and speed, MATLAB wins.
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.
86.66666666666666%
8.7
N/A
N/A
80%
8.0
48%
4.8
- It has been very good for solving mathematical problems.
- Visualising data with it is also amazing.
- It is difficult to learn its language so it takes time to start with this tool.
- It is costly to use it's APIs.
- TensorFlow and Keras
Mathematica is good solution in some cases but doesn't perform well in other regions. Mathematica is good in solving mathematical problems but not performs well in machine learning areas. I would suggest to use TensorFlow or Keras for machine learning. Also it performs good for analytics tasks, it is easy to plot data.
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
90%
9.0
26.666666666666664%
2.7
62.5%
6.3
54%
5.4
- Easy to solve huge mathematical equations, so it saved time there
- Doing analysis and plotting graphs is also another plus point
- Learning is very slow, and it took lot of time to learn its scripting language
We selected Wolfram Mathematica as it offers lot of functionality that other products like MATLAB or sageMath do not have. And it also has advantages on the feature that it does share in common with other tools like sageMath, MATLAB etc. It is more powerful than MATLAB. It provides good analysis and quick charts of results.