Mathematica vs Klipfolio

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Our analysts compared Mathematica vs Klipfolio 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.

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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Klipfolio is an analytics software tool that helps users wield data intelligently and confidently by building dashboards and reports that track KPIs and monitor trends. Users can glean insights from information across the organization collected in one convenient place and deploy interactive data visualizations that they can share with ease.

It is available through an annual or monthly subscription to one of four plans: Publish, Grow, Team and Team+. The number of dashboards and users allowed, as well as the data refresh rate and level of support varies depending on the pricing plan selected.
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$1,800 Annually
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$3,000 Annually, 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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  • Faster Decisions: Enables faster and better data-driven decision making with a dashboarding tool that shows meaningful KPIs first.
  • Ease of Use: Quickly upload and analyze data with dashboards with a simple architecture on the back-end — no coding required.
  • Simplified Data Sets: Create a range of data visualizations from a single data source, or a single visualization from a range of data sources. Pull raw data directly into the dashboard, removing complicated organization and exploration steps.
  • Integration with BI Tools: Make analytics reporting and visualization easier by integrating with traditional enterprise BI tools like Tableau, Domo, Qlik, Looker and Microsoft Power BI to enhance the data they hold.
  • Holistic BI: Get a more comprehensive view of business metrics across data sources and brand performance on social media, all collected and displayed in one place through data connectivity and data merging.
  • Data Visibility: Gain visibility into business data and understand where the business is at via real-time dashboards and reports.
  • Analytics On-the-Go: Retrieve data from the cloud-based architecture any time, anywhere with an internet connection, unlike on-premise solutions. Access the platform via a native app for both iOS and Android mobile devices as well as via web browsers.
  • Boost Collaboration: Align all stakeholders and employees with organizational goals by collaborating and sharing data with others internally and externally, whether in real time or periodically.
  • Scalability: Pay only for the required level of functionality and upgrade, downgrade or cancel the plan at any time. Add additional dashboards to any plan at a flat rate or consult the support team for a custom solution that can support hundreds to thousands of dashboards at once.
  • Free Trial: Test it firsthand through a free 14-day trial.
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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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  • Data Connectivity: Retrieve data from thousands of different data sources with hundreds of built-in data connectors that include many of the most commonly sought-after data points. Connect to even more types of data with custom queries made through open web services. Or, pull data from SQL databases by uploading files the old-fashioned way and establishing FTP server connections.
  • Insight into Social Media: Blend social media data with other proprietary business data to interpret and present brand performance on social platforms such as LinkedIn, Twitter, Facebook and more.
  • Automated Data Retrieval: Automate data retrieval for visualizations from a range of data sources that automatically update on detecting a change in users’ data. Refreshes every 30 minutes by default, but can refresh at a faster rate on certain subscription plans.
  • Data Merging: Mash up information from disparate data sources to create insights that track desired KPIs with a more holistic view of business performance.
  • Data History With PowerMetrics: Leverage PowerMetrics to track and store multi-dimensional data points for metrics and provide continuous insights into current and historical information even for data services that don’t offer history, i.e. social media feeds. Explore historical trends by comparing time periods.
  • Data Visualizations: Maximize a dashboard’s visual impact by choosing from 15 different types of customizable visualizations.
  • Self-Service Interactivity: Deep-dive into dashboards by filtering and segmenting data by specific dimensions or adjusting date ranges. Gain context from insights with automatic trend lines and applied actions like grouping, filtering, aggregating and sorting.
  • Pre-built and Customizable Dashboards: Easily create dashboards by choosing a pre-built dashboard from a range of template options or create an entirely customized one.
  • Targets and Indicators: Keep track when metrics fall below or reach conditional pre-set thresholds with notifications and indicators that alert of both trends and potential issues or successes.
  • Sharing: Share access to dashboards and visualizations with a single click and download them as images or PDFs for sharing across social media or messaging apps. Set up scheduled reports to be distributed to a specific list of members on a regular basis. Embed dashboards into websites or other applications, display on TVs, or make them public for easy visibility with custom generated URLs.
  • Search Function: Search for data points, visualizations or dashboards using natural query language (NQL) search function, similar to how one would search using Google or other search engines.
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Product Ranking

#47

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Business Intelligence Tools

#19

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Business Intelligence Tools

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User Sentiment Summary

Excellent User Sentiment 305 reviews
Excellent User Sentiment 578 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.

93%
of users recommend this product

Klipfolio has a 'excellent' User Satisfaction Rating of 93% when considering 578 user reviews from 5 recognized software review sites.

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4.7 (28)
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4.6 (165)
4.59 (152)
4.73 (169)
4.6 (153)
4.7 (164)
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4.6 (52)

Awards

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

User Favorite Award

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

User Favorite Award

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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Data Management: Approximately 94% of users who mentioned data preparation said that the platform helps create focused data models to power insightful and dynamic project dashboards.
Data Source Connectivity: Around 81% of users who mentioned its integration capabilities said that the tailored integration options of the platform are complemented by easy-to-use APIs and SQL queries to pull data from disparate data sources.
Functionality: Approximately 79% of users who reviewed its functionality said that the platform has a multitude of features for self-service data analysis to efficiently acquire valuable business insights.
Service and Support: Around 96% of users who reviewed support services said that they were very responsive and helpful, with fast turnaround times.
Cost: The free trial period is a big plus, and the solution gives value for money, approximately 81% of users who reviewed the tool’s cost said.
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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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Speed: All users who reviewed its speed say that the platform is slow to load, with noticeable latency in data refresh.
Steep Learning Curve: Approximately 78% of users who reviewed training say that there is a steep learning curve to the platform, especially for formulas and functions.
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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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Klipfolio is a business intelligence tool that empowers users to visualize, analyze and share business data to track product trends. With powerful data querying capabilities via SQL and APIs, the solution integrates well with a multitude of applications. Users leverage its rich visualization libraries and strong data modeling capabilities to create impactful data dashboards, though some users said that the platform was sometimes buggy and had a limited scope in managing complex KPIs. With its vast range of features, users create and share reports on data that matters via URLs, PDFs, scheduled emails and snapshots to power decision-making processes. Approximately 96% of users who mentioned the platform’s support services said that the team was helpful and responsive. Most of the users who mentioned pricing said that the solution was affordable for organizations of all sizes and provided value for money. The solution does have some limitations though. All users who reviewed it for speed said that the platform slowed down, especially when applying filters, large file uploads and data refresh. Of users who reviewed its data integration capabilities, some said that the data source limit of 10 MB that comes with certain pricing plans can be limiting, especially when working with larger Excel and CSV files. Of users who mentioned cost, a few said that the additional fee for the periodic data refresh feature was a burden, though the introductory free trial offer could be quite attractive for new users. In summary, Klipfolio is a web and cloud-based BI solution that offers a range of data integration, KPI monitoring and dashboarding capabilities to empower data-driven decision-making across organizations.

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