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Mathematica

Mathematica

Overview

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

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 …
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Popular Features

View all 15 features
  • Formatting capabilities (8)
    9.9
    99%
  • Pre-built visualization formats (heatmaps, scatter plots etc.) (9)
    9.9
    99%
  • Drill-down analysis (8)
    9.9
    99%
  • Report sharing and collaboration (9)
    9.9
    99%
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Pricing

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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
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Features

BI Standard Reporting

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

9.9
Avg 8.4

Ad-hoc Reporting

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

9.9
Avg 8.0

Report Output and Scheduling

Ability to schedule and manager report output.

9.3
Avg 8.4

Data Discovery and Visualization

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

9.9
Avg 8.2
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Product Details

What is Mathematica?

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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Comparisons

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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!

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

(1-9 of 9)
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Steffen Jäschke | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
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
Incentivized
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.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
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
Incentivized
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.
George Danner | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
ResellerIncentivized
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
Incentivized
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
Incentivized
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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