Mathematica vs Pyramid Analytics

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Our analysts compared Mathematica vs Pyramid Analytics based on data from our 400+ point analysis of Business Intelligence Tools, user reviews and our own crowdsourced data from our free software selection platform.

Pyramid Analytics Software Tool

Product Basics

Wolfram Mathematica is a technical computing platform that can perform a wide range of computations and algorithms for mathematics and beyond. Primarily designed for research and academia, it enables users to create powerful scripts through a flexible, multi-purpose programming language. It allows users to analyze and visualize data in sophisticated ways and employ methods such as machine learning, data mining and deep learning to model and solve complicated problems.

It is available in the cloud through any web browser or installable on-premises on all desktop environments. Users can purchase licenses as individuals or under group or enterprise pricing for cloud, desktop or both versions.
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Pyramid Analytics offers an enterprise-grade operating system that scales smoothly from single-user to organization-wide implementation. It’s OS agnostic and can be deployed in the cloud or on-premise.

It promotes data literacy by allowing different levels of users to utilize different capabilities. It is designed to support an organization’s decision workflow end-to-end from self-service analytics to forecasting.
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$1,800 Annually
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Product Insights

  • 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.
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  • Support Strategy: Execute analytics strategies with smooth implementation, management and support. Reduces silos by making data available to the entire organization.
  • Perform Self-Service Analytics: Maximizes value and streamlines operational investments through the delivery of faster, better insights. Self-service and a transparent user experience promote data literacy.
  • Create Compelling Visualizations: Clearly communicate insights through intuitive, dynamic graphics, including charts, graphs, tables and interactive visualizations.
  • Identify and Address Business Problems: Recognizes data trends and identifies problem areas while providing suggestions for rectifying them.
  • Make Data-Driven Business Decisions: Create models to understand operational data and forecast how changes will affect the business to make more informed decisions.
  • Perform One-Click Analytics: Draw data from both traditional and big data sources through machine learning analytics to make data processing simple. Augmented guidance features help guide users to answer key business questions.
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  • 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.
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  • Advanced Analytics: Run advanced queries on large datasets and perform analysis on business questions.
  • Machine Learning Models: Create data models that adapt as the software learns to “anticipate” future needs and queries.
  • Drag-and-Drop: The Business User ETL offers a drag-and-drop interface that makes cleaning and preparing data for analysis easy.
  • Ad-Hoc Reporting: Create spur-of-the-moment reports to answer specific business questions rather than formulating on a recurring schedule.
  • Graphical Data Representation: A variety of graphical visualization options to depict datasets in the most aesthetically pleasing and intuitive way. Some of these include bar graphs, pie charts, scattergrams and more.
  • Content Sharing: The publish module can create pixel-perfect reports and embed them into a range of export formats, including emails and HTML.
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Product Ranking

#47

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#29

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Business Intelligence Tools

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User Sentiment Summary

Excellent User Sentiment 305 reviews
Great User Sentiment 144 reviews
92%
of users recommend this product

Mathematica has a 'excellent' User Satisfaction Rating of 92% when considering 305 user reviews from 2 recognized software review sites.

89%
of users recommend this product

Pyramid Analytics has a 'great' User Satisfaction Rating of 89% when considering 144 user reviews from 3 recognized software review sites.

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3.9 (9)
4.59 (152)
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4.6 (153)
4.1 (7)
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4.5 (128)

Awards

Mathematica stands above the rest by achieving an ‘Excellent’ rating as a User Favorite.

User Favorite Award

No awards.

Synopsis of User Ratings and Reviews

Symbolic Computation: Mathematica excels at handling and manipulating symbolic expressions, making it ideal for tasks that involve algebra, calculus, and other forms of mathematical analysis. This can be particularly useful for financial modeling, risk analysis, and other business intelligence applications that require complex calculations.
Visualization Capabilities: Mathematica offers a wide range of visualization tools that can be used to create high-quality charts, graphs, and other visual representations of data. These visualizations can be interactive, allowing users to explore data from different perspectives and gain deeper insights. This is essential for effectively communicating complex data to stakeholders in a business setting.
Automation and Scripting: Mathematica allows users to automate tasks and create scripts, which can save time and improve efficiency. This can be particularly useful for repetitive tasks, such as data cleaning and analysis. Automating these tasks can free up time for business intelligence professionals to focus on more strategic initiatives.
Machine Learning and AI: Mathematica includes a wide range of machine learning and artificial intelligence (AI) tools that can be used for tasks such as predictive modeling, classification, and anomaly detection. These capabilities are becoming increasingly important for business intelligence, as they can help organizations to identify trends, make better decisions, and gain a competitive advantage.
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Support: All users who mentioned support say that support teams were quick to reply and help out.
Performance: The platform can quickly make insights available to businesses, as reported by all reviewers who specified performance.
Ease of use: The system is easy to implement, deploy and integrate, according to about 83% of users who talked about ease of use.
Connectivity: About 75% of users who spoke about connectivity mentioned the solution’s ability to integrate and work with data from multiple sources.
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Price: Mathematica comes with a hefty price tag, especially for commercial use, which can be a significant barrier for individuals or small businesses.
Learning Curve: The software has a steep learning curve due to its vast functionality and unique syntax, requiring a significant time investment to master.
Closed Ecosystem: Mathematica operates within a closed ecosystem, making it challenging to integrate with other data analysis tools or programming languages commonly used in business intelligence.
Limited Collaboration: Collaboration features are not as robust as those found in other business intelligence platforms, hindering teamwork and knowledge sharing.
Visualization Capabilities: While Mathematica offers visualization tools, they may not be as intuitive or user-friendly as dedicated data visualization software, potentially limiting the ability to create compelling and insightful dashboards.
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Steep Learning Curve: Pyramid Analytics has a huge learning curve, according to approximately 58% of users who referred to the learning curve.
Data Visualization: 60% of users who mentioned visualization say that dashboards were aesthetically unpleasant.
Functionality: Of users who talked about functionality, around 69% say that the system has stability issues.
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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.

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Pyramid Analytics is a flexible, scalable BI platform with machine learning capabilities. It lets users mash up data from multiple sources, model data within the application and run reports in mere minutes, as opposed to manual processes that would take hours.Its numerous features have the ability to carry out complex data analysis. Users found customer support to be helpful when demonstrating the tool’s full potential. Users also liked the ability to incorporate AI into their dashboards. However, Some users found navigating through dashboards to be difficult. Users also complained that dashboard features could be more effective. New features were sometimes unstable, introducing bugs to existing functionality. Conclusively, it is a cost-effective, intuitive solution with excellent support that can quickly deliver insights to all levels of a businesses.

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