Mathematica Reviews & Pricing
What is Mathematica?
Industry Specialties: Industrial engineering, healthcare, education, labor, social policy, international development
Mathematica Pricing
Based on our most recent analysis, Mathematica pricing starts at $1,800 (Annually).
- Price
- $$$$$
- Starting From
- $1,800
- Pricing Model
- Annually
- Free Trial
- Yes, Request for Free
Training Resources
Mathematica is supported with the following types of training:
- Documentation
- In Person
- Live Online
- Videos
- Webinars
Support
The following support services are available for Mathematica:
- Phone
- Chat
- FAQ
- Forum
- Help Desk
- Knowledge Base
- Tickets
- Training
- 24/7 Live Support
Mathematica Benefits and Insights
Key differentiators & advantages of Mathematica
- Seamless Integration: The system includes more than 5,000 built-in functions that cover all areas of technical computing and all integrate to work perfectly together so that code runs interactively and instantly within a native environment for its language.
- Automate to the Max: Through superfunctions, meta-algorithms and more, users can automate a variety of tasks so that they can work as efficiently as possible.
- Code Designed to be Learned: Wolfram Language, the proprietary programming language that powers Mathematica, is user-intuitive with English-like functions that make it easy to read, write, learn and program in a way that makes sense and is often shorter than code written in other programming languages.
- Always Moving Forward: Wolfram continually updates Mathematica with new features and functions that extend the vision and scope of the platform, while maintaining consistent compatibility for over 30 years.
- Vast Resources: Wolfram provides a host of resources to help users get started with their projects, with more than 150,000 examples and more than 10,000 open-code demonstrations to which they can refer. In addition, access to instant real-world data broadens the spectrum of up-to-date information at users’ disposal.
- Publication-Ready: Mathematica presents data and insights with beautiful visualizations and publication-quality documents, helping researchers and presenters make their results look their best.
- Scalability: The platform streamlines workflows for programs and teams of any size, allowing users to scale up or down to address problems or projects as needed. Everything is industrial-strength, capable of handling large-scale problems through parallelism, GPU computing and more.
- Access Everywhere: Through an interactive online cloud environment, all users need is a web browser or mobile app to compute with Mathematica or interact with Wolfram Notebooks, making it an ideal solution for instant, remote access.
- Free Trial: Anyone can try Mathematica for free for 15 days. The trial includes both a download of the application to install on a desktop computer and access to the online platform.
Industry Expertise
Mathematica Reviews
Based on our most recent analysis, Mathematica reviews indicate a 'excellent' User Satisfaction Rating of 92% based on 305 user reviews from 2 recognized software review sites.
Synopsis of User Ratings and Reviews
Based on an aggregate of Mathematica reviews taken from the sources above, the following pros & cons have been curated by a SelectHub Market Analyst.
Pros
Cons
Researcher's Summary:
Let's crunch some numbers and see what users have to say about Mathematica!
Mathematica has garnered a reputation as a powerful computational tool, particularly in academic and research settings. Users frequently praise its symbolic computation capabilities, allowing them to manipulate and solve complex mathematical expressions and equations with ease. This strength sets Mathematica apart from competitors like MATLAB, which primarily focuses on numerical computation. Mathematica's notebook interface also receives positive feedback for its ability to combine code, visualizations, and text in a single document, facilitating reproducible research and clear communication of findings. However, Mathematica's steep learning curve and high price point are often cited as drawbacks. Users transitioning from other programming languages may find Mathematica's syntax and functional programming paradigm challenging to grasp initially. Additionally, the cost of a Mathematica license can be prohibitive for individual users or small businesses.
Overall, Mathematica is best suited for researchers, scientists, and engineers who require a comprehensive tool for symbolic and numerical computation, data analysis, and visualization. Its extensive functionality and ability to handle complex mathematical problems make it an invaluable asset in these fields. However, individuals or organizations with limited budgets or those seeking a more user-friendly option may want to explore alternative software solutions. Keep in mind that software is constantly evolving, so it's always a good idea to check for the latest updates and user reviews to make an informed decision.
Key Features:
- Wolfram Language: Wolfram’s proprietary computational language allows developers to code with a language that allows both computers and humans to communicate with each other through almost 6,000 built-in functions. Built on a philosophy of knowledge-based programming, it aims to help users automate as much as possible and maximize coherence of design while being universally deployable in any environment.
- Connect to Everything: Through symbolic expressions, interactions and external connections, the Wolfram Language conveniently connects to a broad spectrum of platforms, languages, databases, protocols, APIs, applications, file formats and devices.
- Notebook Interface: With structured documents that store text, runnable code, dynamic graphics and more, Wolfram Notebooks provide an environment for technical workflows that supports interactive computation. They empower user literacy in a high-level programming interface through interactive coding, natural language queries and expansive documentation that make the platform accessible to users without coding experience.
- AlgorithmBase: Not just through industrial-strength algorithms but also meta-algorithms and super functions, which automatically select the optimal algorithms to use in a given situation, users can define their goals or concepts and let the system take over to automatically achieve them, enabling discoveries and experimentation with algorithms. With its robust library of scalable and accurate algorithms, the AlgorithmBase serves as a trustworthy resource for programmers to use to ensure high-quality computations.
- Data Visualization: Through algorithms, Mathematica can create visually compelling representations of data in the form of 2D and 3D plots, graphs, histograms, word clouds, geographic visualizations and more.
- Machine Learning: Through highly automated functions that work on many types of data, the platform can carry out a wide range of tasks, including classifying data in categories, predicting values, learning from examples and performing automated time series analysis.
- Mathematica Online: Powered by the Wolfram Cloud, users can harness the computational system from directly within their web browsers, with no installation required. Everything automatically saves and stays in the cloud, and users can control who can access their documents through instant sharing, URL links and permissions controls. Seamlessly integrated with the desktop version, it allows users to upload or download notebooks and access the cloud from a computer.
- Wolfram Knowledgebase: Mathematica and the Wolfram Language has access to the world’s largest and broadest trusted source of computable knowledge, curated by experts and derived from primary sources, including not just the data but also the methods that compute results.
- Mobile App: The Wolfram Cloud free app for iOS and Android mobile devices allows users to edit, run and deploy programs and access Wolfram notebooks and instant apps through its home-screen-like experience.
Limitations
- Forums and technical support can be lacking
- Programming language has a significant, steep learning curve
- Because of its resource-heavy nature, it can run more slowly than other competing products
- Not open software
- Non-academic licensing can be cost-prohibitive