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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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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…
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- Free Trial
- Free/Freemium Version
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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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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?
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?
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
- 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.
November 09, 2018
Mathematica: great for Origami
The ability to manipulate algebraic expressions, nested lists, and data structures in Mathematica was unequalled when I first did the comparison. Since then, I've stuck with Mathematica mostly because it's "the tool I know."
We have evaluated and are using in some cases the Python language in concert with the Jupyter notebook interface. For UI, we using libraries like React to create visually stunning visualizations of such models.
Mathematica compares favorably to this alternative in terms of speed of development. Mathematica compares unfavorably to this alternative in terms of license costs.
Mathematica compares favorably to this alternative in terms of speed of development. Mathematica compares unfavorably to this alternative in terms of license costs.
October 12, 2018
One of the best computation engines
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.
August 17, 2018
Best computation knowledge engine with great power
I think IBM Watson Analytics is good alternative to Wolfram Mathematica. A few advantages of Mathematica over IBM Analytics is that Mathematica comes with a lot of inbuilt things like neural networks, predictive analysis geometry. And IBM analytics does not show the step by step solution of mathematical problem. Other than this, one product which is a good alternative to Mathematica is SageMath. But SageMath doesn't have a wide variety of tools available with it. And visualisation is not good in SageMath.