Mathematica vs Orbit Analytics

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Our analysts compared Mathematica vs Orbit 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.

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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Orbit, which stands for Operational Reporting and Business Intelligence Technology, provides self-service advanced analytics to businesses for on-demand, data-driven decision-making. It pulls data from a wide range of sources, including Microsoft Excel, and enables high-performance data analysis through visualization and reporting. Connecting to more than 200 business applications, it ensures data integrity and security compliance across platforms.

Leveraging R for statistical computing, it empowers businesses to make accurate and timely business decisions.
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$1,800 Annually
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$50,000 Monthly
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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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  • Improved Business Decisions: Drive innovation, boost efficiencies and increase revenue through better-informed business decisions. Identify opportunities and spot data trends by surfacing accurate and updated information. Analyze past insights to uncover previously undiscovered data relationships and define future strategy. 
  • Data Integration: Connects out-of-the-box to more than 200 applications like Oracle E-Business Suite, MS-Excel, PeopleSoft, Microsoft Office, Taleo, Salesforce and more. Breaks down data silos to aggregate information from a multitude of disparate data sources. Pulls data from cloud-based, on-premise and hybrid databases. 
  • Advanced Analytics: Forecast business trends by using what-if analyses, scenario modeling and decision trees. Discover patterns, relationships and outliers in data to make informed decisions. Pull data from disparate sources for multidimensional predictive analysis through crosstabs and other visualization types. 
  • Ad-Hoc Reporting: Get answers to data questions faster through its intelligent query generator. Gain in-depth, real-time data insights through easy drag-and-drop, filtering and slice-and-dice actions. Add visual context to reporting insights with geospatial data relationships and plan ahead. 
  • Tell Data Stories: Create visually compelling, interactive data visualizations from proprietary information, unifying disparate data sets into one single dashboard. Display complex information through simple visuals like charts, maps and graphs and easily digestible dashboard summaries. Share visualizations with others by embedding into business applications and exporting to PDFs. 
  • Cloud BI: Reduce the cost of ownership through a flexible cloud solution that combines enterprise-class analytics with an autonomous data warehouse. Integrates with existing on-premise and cloud-based data sources to deliver real-time reporting and analytics. 
  • Data Security: Secures data through built-in row and column-level access permissions based on roles. Automatically syncs with business applications and aligns with pre-existing security rules, account profiles and team member roles. 
  • Deploy Anywhere: Deploys on-premise, in the cloud and in hybrid solutions. 
  • Mobility: View and share mobile-optimized dashboards and reports on the go. Create custom reports, or build from more than 1,000 pre-built templates to share business insights with others. Click on dashboard objects like charts and graphs to drill down into proprietary data for deeper insight. 
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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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  • Reporting: Create reports from more than 1,000 pre-built reporting templates or build custom ones. Aggregate data from multiple sources and combine it into pixel-perfect reports. Create document templates within Word and Excel, and then add data and publish in Excel, HTML or PDF formats for sharing. 
  • Integrate with Excel: Upload data as Excel files to perform ad-hoc data analysis through easy drag-and-drop actions. Filter specific data fields or slice and dice to view pertinent business metrics. Or, pull live data directly into Excel from one or more business applications and run multiple reports at the same time. 
  • Data Modeling: Build models through associative querying and aggregation of multi-dimensional data through Star Schema and Snowflake queries. Get data insights from OLAP cubes and third-party data sources with customizable options for deeper analysis. 
  • Metadata Management: Customize, reuse, capture and publish data dimensions, hierarchies, performance metrics, KPIs and report layout parameters. Store key metadata objects separately from application databases, enabling faster retrieval, when needed. 
  • Integration with Python and R: Create analytical models from live data by using R and Python. The R Statistics and Python libraries are embedded within its BI server. 
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Product Ranking

#47

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Business Intelligence Tools

#373

among all
Business Intelligence Tools

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User Sentiment Summary

Excellent User Sentiment 305 reviews
Excellent User Sentiment 4 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.

95%
of users recommend this product

Orbit Analytics has a 'excellent' User Satisfaction Rating of 95% when considering 4 user reviews from 2 recognized software review sites.

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4.8 (3)
4.59 (152)
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4.6 (153)
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4.5 (1)

Awards

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

User Favorite Award

Orbit Analytics 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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Free to Use: Orbit is free for everyone to use, which makes it a great option for businesses of all sizes.
Easy to Set Up: Orbit is easy to set up and use, even for users who are not familiar with web analytics. Users have praised the platform for its intuitive design and straightforward implementation process.
Comprehensive Data: Orbit provides a comprehensive view of website traffic, including page views, unique visitors, bounce rate, and more. This data can be used to track website performance and identify areas for improvement.
Customizable Reports: Orbit allows users to create custom reports to track the specific metrics that are most important to them. This flexibility is highly valued by users who need tailored insights.
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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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Sampling Issues: For high-traffic websites, Orbit Analytics may extrapolate data based on a subset, leading to potential inaccuracies in metrics like bounce rate or session duration.
Limited Real-Time Reporting: Orbit Analytics doesn't offer truly real-time data updates, making it less suitable for situations demanding immediate insights, such as monitoring the impact of a flash sale.
Complex Interface: Some users find the interface overwhelming, especially those new to web analytics or accustomed to more user-friendly tools.
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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 Orbit Analytics the business intelligence software that will make your insights truly out of this world? Users praise Orbit Analytics for its user-friendly interface, making it easy for even non-techy folks to grasp. They also dig its robust reporting features, which help them whip up insightful reports that actually make sense. One user raved about how Orbit Analytics helped them wrangle a massive dataset into a clear and concise report that impressed higher-ups. However, some users find its predictive analytics capabilities a bit lacking compared to competitors like Tableau or Power BI. They wish it had more advanced forecasting tools to get a better handle on future trends. Overall, Orbit Analytics seems like a good fit for businesses who need a straightforward, user-friendly platform to analyze their data and create reports. If you're looking for cutting-edge predictive analytics, you might want to explore other options.

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