Mathematica vs Oracle Business Intelligence

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Our analysts compared Mathematica vs Oracle Business Intelligence 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.

Oracle Business Intelligence 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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Oracle Business Intelligence (BI) is a robust suite designed to empower users by providing comprehensive capabilities, including data integration, analytics, and reporting. This is a product that's most suited for medium to large enterprises which have complex data environments and require in-depth insights into their operations. Its important benefits are scalability, advanced analytics, data visualization, and a strong support infrastructure that Oracle is known for. An important feature set includes self-service analytics, ad-hoc analysis, mobile analytics, and robust dashboard capabilities. This sophistication lends itself to comparison with other enterprise-grade BI tools, where users often highlight Oracle BI's extensive integration facilities and powerful back-end capabilities as differentiators. However, given its depth and complexities, it can also present a steep learning curve for new users. Pricing considerations are important as Oracle BI is viewed as a premium offering. Typically, it's priced on a per-user basis, with payment frequencies ranging from monthly to annual licensing. Prospective buyers should note that the total cost of ownership may include additional expenses for implementation, customization, and training. In summary, Oracle Business Intelligence serves as a comprehensive data suite that leans towards the higher end of the market in both capability and price.

Pros
  • Powerful data warehousing
  • Scalable for large organizations
  • Wide range of features
  • Integrates with other Oracle products
  • Large user and developer community
Cons
  • High cost of ownership
  • Complex setup and management
  • Steep learning curve
  • Limited non-Oracle platform support
  • Less user-friendly than some alternatives
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$1,800 Annually
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$33/Processor, Monthly
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Product Assistance

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FAQ
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Knowledge Base
24/7 Live Support
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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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  • Interactive Visualizations: Users have access to a wide selection of interactive dashboards, charts, graphs and other data visualization tools. They can filter, drill down or pivot data directly from the dashboard while prompts and suggestions from the system guide them through the exploration process to uncover additional insights.
  • Oracle Exalytics: Using Oracle Exalytics, users can analyze massive datasets efficiently and without the need for a technical professional such as a data analyst.
  • Self-Service: Even non-technical users will be able to explore, organize and interpret data using this analysis system. The intuitive visualizations make the information easy to understand and share for employees at any level of data literacy.
  • Actionable Intelligence: By analyzing data and identifying trends, users are more prepared to make decisions about business practices, quotas, forecasting and much more.
  • Proactive Alerts: Users can set predefined alerts that send users real-time updates when the system is triggered or scheduled. These alerts are sent via a preferred channel, including email, internal file storage and text message based on the severity of the alert.
  • Mobile Access: Everything in the solution is presented with a consistent interface on the mobile device of the user’s choosing. This includes multitouch and gestural interactions with map graphics and other advanced features.
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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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  • Dashboards: The rich dashboard feature lets users see and interact with personalized dashboards based on their predefined role. They can explore the data freely along a guided navigation path that leads them to new insights.
  • Report Types: The system can create a variety of report types including ad-hoc analysis, interactive reports, custom reports and a selection of pre-built reports.
  • Big Data: The in-memory processing power of this solution allows users to incorporate big data sets without needing to integrate another solution. It can draw from large databases such as Hadoop, HIVE, Google Analytics, etc.
  • Augmented Analytics: The inclusion of machine learning and AI in the analytics process enhances the user experience by streamlining every aspect of it. The system remembers previous searches, offers natural language search queries and provides intelligence suggestions for the ideal visualization for each individual dataset.
  • Enterprise Reporting: This feature refers to the creation of simple reports in the most efficient, organized manner possible. This analytics tool facilitates the creation of files from templates such as checks, flash reports, tables and more.
  • Spatial Visualizations: The visualization tools aren’t limited to two dimensions; the system also offers a map view in which the data is projected on a fully interactive map. This graphic can include color fill, adjustable size markers, customizable image markers, multiple forms of binning and continuous color-fill features.
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Product Ranking

#47

among all
Business Intelligence Tools

#50

among all
Business Intelligence Tools

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User Sentiment Summary

Excellent User Sentiment 305 reviews
Great User Sentiment 508 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.

83%
of users recommend this product

Oracle Business Intelligence has a 'great' User Satisfaction Rating of 83% when considering 508 user reviews from 3 recognized software review sites.

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3.3 (11)
4.59 (152)
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4.6 (153)
4.1 (89)
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4.2 (408)

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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User-friendly interface: Oracle BI is lauded for its intuitive and easy-to-use interface, making it accessible to users with varying technical expertise. Drag-and-drop functionality and self-service reporting empower users to analyze data independently.
Robust data integration: Oracle BI seamlessly integrates with diverse data sources, including relational databases, cloud applications, and flat files. This eliminates data silos and provides a unified view of critical business information.
Powerful data visualization: Oracle BI offers a comprehensive library of interactive visualizations, including charts, graphs, maps, and dashboards. These visuals help users identify trends, patterns, and insights within their data.
Flexible deployment options: Oracle BI offers both on-premise and cloud deployment models, catering to various organizational needs and preferences. This flexibility ensures scalability and accessibility for users across different locations.
Extensive security features: Oracle BI prioritizes data security with role-based access control, data encryption, and auditing capabilities. This ensures authorized users can access relevant information while protecting sensitive data.
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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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High cost: Oracle BI can be expensive to purchase and implement, especially for small and medium-sized businesses. The initial investment and ongoing maintenance costs can be a significant barrier for some organizations.
Steep learning curve: While the interface is user-friendly, mastering the full potential of Oracle BI requires time and effort. This can be challenging for users who are not familiar with data analysis tools or who have limited technical experience.
Limited customization options: While Oracle BI offers a range of features, some users find the customization options to be restrictive. This can be limiting for organizations with specific needs or unique data analysis requirements.
Potential performance issues: Large datasets and complex queries can lead to performance slowdowns in Oracle BI. This can be frustrating for users who rely on real-time insights and data accessibility.
Vendor lock-in: As a proprietary platform, Oracle BI can lock users into Oracle's ecosystem. This can make it difficult to switch to other BI solutions in the future, limiting flexibility and potentially increasing costs.
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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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Oracle Business Intelligence (OBI) garners mixed reviews from users. Many praise its robust functionality and ability to handle large datasets, with one user noting, "OBI can handle almost anything I throw at it." Another highlights its insightful dashboards and reporting capabilities, stating, "OBI provides the perfect blend of data visualization and analysis tools." However, some users criticize OBI's steep learning curve and complex interface. One user lamented, "It took me months to feel comfortable using OBI effectively." Others point to its integration limitations, especially with non-Oracle products, with one user stating, "OBI shines within the Oracle ecosystem but struggles with others." When compared to competitors like Microsoft Power BI and Tableau, users often cite OBI's scalability and data-handling prowess as its main differentiators. One user highlighted, "OBI is the go-to solution for large-scale enterprise data analysis, leaving Power BI and Tableau behind when dealing with massive datasets." Additionally, users appreciate OBI's tight integration with other Oracle products, creating a seamless workflow within the Oracle ecosystem. However, users also acknowledge OBI's shortcomings in terms of user-friendliness and flexibility. One user stated, "Power BI and Tableau offer a more intuitive and user-friendly experience, making them more accessible to a broader range of users." Additionally, some users find OBI's reliance on Oracle technologies limiting, preferring the broader platform compatibility offered by competitors. Ultimately, the choice between OBI and its competitors depends on specific needs. For organizations requiring in-depth analysis and scalability, OBI remains a powerful contender. However, those prioritizing user-friendliness and integration flexibility may find alternatives like Power BI and Tableau more attractive.

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