Mathematica vs Yellowfin BI

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Our analysts compared Mathematica vs Yellowfin BI 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.

Yellowfin BI 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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Yellowfin BI is an integrated platform that helps users transform their business through data by combining automated data analysis, interactive dashboards and storytelling. It also enables intuitive filtering of large amounts of data in real time. It facilitates organization-wide understanding through data sharing and collaborative action. It has a customizable architecture and has the ability to add an organization’s branding, such as its logo.

It offers either enterprise or embedded analytics and is deployable in the cloud or on-premise.
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$1,800 Annually
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$50/User, Monthly, Freemium
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Tailored to your specific needs
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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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  • End-to-End BI Stack: Its complete BI suite provides solutions to multiple data analytics problems. Businesses are equipped with critical tools such as automated insights, action-based dashboards and collaborative BI tools. Its robust enterprise governance tool allows businesses to integrate their platform with existing security features. 
  • Convenient Adoption: Its single, integrated platform is user-friendly and easy to adopt. It is deployable either on the cloud or on-premise. 
  • Engaging Data Stories: Users can share their data insights with dynamic, compelling reports and storyboards. 
  • Data Transparency: Yellowfin BI can present data in multiple ways and assimilate into business operations. It's built with various dashboards, including analytical, operational and strategic setups, that link interactive data, allowing users to understand information in real time and allow for the monitoring of crucial metrics. It also ensures data accuracy and can create timelines. 
  • Automated Insights: It combines machine learning with human insights to make use of the company’s data effectively. Its algorithms automatically scan through the company’s data and provide strategically relevant results. 
  • Explore Data With Ease: Its smart visualizations enable easy data discovery and exploration. It has over 50 chart types built-in, which helps users understand their businesses better. It also helps in spotting patterns, trends and outliers. 
  • Open Source Freedom: As a 100% open platform, it has no proprietary lock-in, which allows analysts to use their existing skills and knowledge to develop their own capabilities within the platform. It is open-source in nature, which makes the Yellowfin Marketplace, a digital catalog of many free or low-cost plug-ins, extend the suite’s capabilities even further. 
  • Scalability: It offers a scalable architecture that can adapt according to the growth of a business. Users can scale their data usage, without compromising on performance aspects. 
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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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  • Automated Data Monitoring: Yellowfin Signals provides machine-based automated monitoring of live data. It highlights anomalies and data outliers, and its proactive warning systems keep business owners informed of changes as they happen and deliver insights faster.  
  • Data Storytelling: Yellowfin Stories and Yellowfin Present help users create data stories and presentations that add context to numbers. These presentations enable clear and concise understanding throughout the organization with accessible insights sourced from one centralized, automatically refreshed database. Data stories can be authored in blog format and supplemented with external media and attachments. 
  • Connectivity to Various Data Sources: It facilitates connection with numerous data sources, including Web APIs, spreadsheets and relational databases as either on-premise or hosted in the cloud. Data is then transformed and merged so that it is accessible by any analytics platform without proprietary lockouts. 
  • Data Analysis: It helps businesses accelerate the analysis of large chunks of data using databases, spreadsheets or online applications. 
  • Data Discovery: The Insight Wizard feature is a unique inclusion that helps users cut down on discovery times with the help of assisted insights. It comes packed with features that provide automated answers with the use of algorithms. 
  • Dashboards: Its customizable, interactive dashboards enable users to keep track of key performance indicators in real time. They drive action and let users make data-driven decisions for their companies. They can be customized with the company’s branding and their open-source code lets users create their own application experience. 
  • Embeddable Workflows: Out-of-the-box, Yellowfin action buttons allow users to integrate workflows to third-party applications, or develop their own custom workflows that allow users to take direct action from their dashboards. 
  • Mobile App: It comes with a mobile application that helps users track changes to their data on-the-go. The app is curated for a mobile-specific experience, which allows users to track changes and respond to them from internet-enabled devices. 
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Product Ranking

#47

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#346

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User Sentiment Summary

Excellent User Sentiment 305 reviews
Great User Sentiment 182 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.

85%
of users recommend this product

Yellowfin BI has a 'great' User Satisfaction Rating of 85% when considering 182 user reviews from 6 recognized software review sites.

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4.2 (14)
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4.4 (90)
4.59 (152)
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3.5 (35)

Awards

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

User Favorite Award

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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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Intuitive Interface: Users praise Yellowfin for its user-friendly design, making it easy to navigate and build reports without extensive training.
Powerful Data Visualization: Yellowfin offers a wide array of charting and visualization options, allowing users to present data in a clear and compelling way.
Strong Customer Support: Users appreciate the responsive and helpful customer support provided by Yellowfin, ensuring they can get assistance when needed.
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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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Difficult to Learn: Some users find the platform's interface and features difficult to learn and navigate, especially compared to other BI tools.
Limited Customer Support: Users have reported experiencing slow or unhelpful customer support, making it challenging to resolve issues quickly.
Data Visualization Limitations: While Yellowfin offers data visualization capabilities, some users find them less intuitive and flexible compared to other BI tools, limiting their ability to create compelling reports and dashboards.
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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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Is Yellowfin BI the "gold standard" for your business intelligence needs? Recent user reviews suggest that Yellowfin BI is a capable business intelligence platform that shines in its user-friendly interface and robust feature set, making it a good fit for businesses of all sizes. Users praise its intuitive design, which allows even non-technical users to easily navigate and utilize the software. The platform's comprehensive suite of features, including data visualization, reporting, and automated insights, empowers businesses to gain a holistic understanding of their data. However, users also point out some drawbacks. A common gripe is the cost, which can be a barrier for smaller businesses or those with limited budgets. Some users find the software's learning curve steeper than expected, particularly when it comes to advanced features. Despite these weaknesses, Yellowfin BI differentiates itself through its focus on data storytelling and its ability to seamlessly integrate with a wide range of data sources. The platform's storytelling feature allows users to present data insights in a compelling and engaging way, facilitating better decision-making. Its broad data source compatibility ensures that businesses can connect and analyze data from various sources, providing a unified view of their operations. Overall, Yellowfin BI is best suited for businesses that prioritize user-friendliness and a comprehensive feature set in their business intelligence solution. Its intuitive interface and robust capabilities make it a valuable tool for organizations looking to leverage data for informed decision-making. However, businesses with budget constraints or those seeking a platform with a shallower learning curve may need to consider alternative options.

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