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.
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Mathematica Reviews
2 Reviews
Educational ServicesEducation Management1Professional Training & Coaching1
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.
Pros
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.
Cons
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.
Likelihood to Recommend
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.
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.
Pros
Plotting and charting.
Numerical calculation.
Animation.
Matrix multiplication and mathematical functions.
Cons
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.
Likelihood to Recommend
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.
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Verified User
Engineer in Research & Development (Education Management company, 501-1000 employees)