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Mathematica vs Sisense

Last Updated: November 18th, 2024

Our analysts compared Mathematica vs Sisense 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.

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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.

Sisense is an end-to-end data analytics platform that makes data discovery and analytics accessible to customers and employees alike via an embeddable, scalable architecture. With a back-end powered by in-chip technology, it allows analysts to blend large datasets from a variety of sources into a single cohesive database for the entire company. On the front-end, users of all technical skill levels can craft visualizations, reports and dashboards to explore and share insights that drive businesses forward. Its AI-driven, cloud-native analytics offering, Fusion, embeds into business workspaces and empowers teams to view key metrics and data insights where they work.

Designed for companies of all sizes, it can be deployed on-premises, as a private cloud-hosted SaaS, as a fully managed SaaS or via a hybrid strategy. It is available via annual subscription pricing and offered in three packages: its main offering BI & Analytics Teams, its embedded analytics component Product Teams and code-driven cloud analytics through Cloud Data Teams.

$1,800 Annually

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$1,500 Monthly, Freemium

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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.

Brings Intelligence to Every User: Empower every user with data literacy via access to an intuitive data workflow. Leverage self-service BI to connect, mash up, blend and analyze data in a user-friendly, visual framework that is easy to manipulate.
Optimizes Data Prep: Eliminate barriers between analysts and the data they need to reach answers through single-stack technology. Reduce the time needed for data prep and clean data within the interface without changing any of the original data in its source. Perform error-free analysis with better quality assurance. Incorporate everything from a database to ETL to analysis to visualizations within a single architecture in an end-to-end BI system.
Delivers Analysis Quickly: Through its proprietary AI-powered in-chip technology, perform thousands of queries on massive amounts of data and return results at faster speeds with in-memory processing, allowing for more efficient decision making.
Keeps Data Secure: Leverage advanced machine learning, detect anomalies in the data and send alerts instantly. Set role-based access restrictions, safeguard sensitive data from users who shouldn’t have access to it, and maintain greater oversight and transparency. Offer scalable data security protocols at the process level, system level, object level and data level to ensure tight security. Incorporate built-in recovery and audit strategies to prevent data loss as well as protect the organization’s audit trails.
Uncovers Actionable Insights: Make predictions and business decisions based on facts by analyzing data trends and identifying patterns. Improve business practices, reduce oversight errors, boost ROI and streamline general business efficiency. Utilize smart suggestions to best-match visualizations, uncover patterns and highlight trends in data. Build narratives that facilitate deeper interaction with data, and keep a digital assistant analyst at the ready.
Promotes Collaboration: Collaborate with others to share reports and insights on KPIs and goals, while ensuring data security compliance by keeping users on a secure network.
Offers Customization: Customize the platform to meet users’ needs via an open API framework. Only pay for features they’ll use and get exactly what they want out of a BI tool.
Scalable: Agilely adapt to users’ needs. Minimize costs via reasonable pricing and grow with business. Scale to tens of thousands of users and terabytes of data, while powering complex analysis with in-chip machine learning technology.
Provides Insights On-the-Go: Stay connected to data that fuels business decisions even while on the move. Access dashboards on any device and elect to receive notifications and real-time updates.
Try Before You Buy: Test it hands-on through a 14-day free trial.

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.

In-Chip Analytics: Free up processing power for other tasks, improve the speed of processing and reduce downtime caused by overworked RAM or disks. Combine a columnar database with smart algorithms in an in-chip cache. Choose between either disk or RAM, rather than solely disk or RAM, as an alternative to in-memory processing.
Data Connectivity: Draw from many different data sources and formats with hundreds of built-in connectors with cloud applications such as Zendesk and Salesforce. Drag and drop to import from databases and spreadsheets. Pull directly from CRMs or embed the BI interface into the CRM, providing versatility in workflow options.
Data Blending: Blend huge datasets from a range of sources instantly into one centralized location, and receive a holistic view of all data. Investigate further through slicing, dicing and exploration of data via a simple, accessible interface.
Data Visualizations: Organize user data into easy-to-understand visualizations like bar charts, scattergrams, pie charts, line graphs, interactive maps, etc. Access a rich library of prebuilt graphics and widgets or open source designs, and easily manipulate them from within an intuitive UI.
Interactive Dashboards: Drag-and-drop to build interactive dashboards that encourage deeper data exploration. Help users to build widgets and filters, and leverage AI-assisted exploration and automatic analysis to provide further insight.
Real-Time Insights: Set up and maintain live connections to data and monitor dashboards in real time. Establish push notification alerts to receive automatic updates when changes to KPIs occur.
Single-Stack System: Perform a range of data preparation tasks, such as exploration, analysis, visualization and collaboration, without needing to switch to other platforms.
Publish and Share: Enable everyone in an organization to access and filter information with web-based dashboards. Publish a dashboard with one click and open it to the entire company for easy access without needing to download files.
Augmented Intelligence: Leverage Sisense Pulse, powered by machine learning algorithms, to continually monitor KPIs and receive proactive alerts when anomalies and variations are detected. Automate previously manual tasks and data-driven workflows, personalize the BI experience with a tailored command center and deliver a dynamically updated feed that keeps users up to date.
Embedded Analytics: Turn data into data products that deliver BI to clients with a white label solution in Product Teams.
R Integration: Perform predictive analysis and access better BI reporting and decision-making through R programming language.
Add-Ons: Extend the functionality of the platform by downloading and equipping any number of free and premium native and third party extensions from the marketplace.
Natural Language Processing: Empower users of all data literacy levels to derive the full value of their insights through natural language generation with Sisense Narratives. Simplify into everyday language the complexities of data analysis for accessibility and easier understanding through AI-generated text-based insights.
Mobile BI: Access BI on-the-go directly from iOS and Android phones with a native app that renders mobile-optimized responsive dashboards with touchscreen integration. Alternatively, access the platform through a browser from any laptop, tablet or smartphone, no downloads or installation required.

Product Ranking

#47

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#11

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Analyst Rating Summary

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User Sentiment Summary

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.

88%

of users recommend this product

Sisense has a 'great' User Satisfaction Rating of 88% when considering 1979 user reviews from 5 recognized software review sites.

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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.

Customer Service and Support : More than 92% of users mentioning customer support said that responses to their queries were prompt and informative, and that there’s good access to online user communities.

Data Integration: Approximately 92% of users who mention data source integrations express satisfaction with its ability to import, blend and streamline data from multiple sources into a cohesive database.

Data Visualization: Citing stunning dashboards with a range of visually powerful visual tools like widgets, graphs and scattergrams, 85% of users who mention data visualization say it’s a strong feature of Sisense.

Ease of Use: More than 93% of users mentioning the platform’s ease of use praise it as user-friendly, citing self-service BI features such as interactive dashboards and data visualizations.

Cost: Among users who comment on its pricing, more than 85% said that Sisense offers great value for its cost, with some reviews coming from long-time customers.

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.

Data Preparation and Modeling: About 50% of users who mentioned data modeling say that it is not as intuitive for non-technical staff, requiring strong IT support.

Training: More than 60% of users who write about learning how to use the platform say that with frequent new releases, a lack of sufficient documentation, coupled with the difficulty of using a programming language make this a tricky tool to master.

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.

Users appreciate how Sisense creates large datasets from constantly evolving data sources to be seamlessly streamlined into actionable data, and presented easily in the form of graphs, bar and pie charts, scattergrams, line graphs, interactive maps and many more visualization types. Regarding customer support, users praise their prompt and informative responses - from implementation to handling subsequent queries — as high quality customer service that comes neatly packaged with pricing plans. Users mention that the implementation of this solution, though easy for basic setup, can be quite demanding in terms of scripting and configuration setup, especially for advanced analytics. Non-technical users might find it challenging to set up the data objects - ElastiCubes - without strong IT support. On the front-end, dashboard customization and formatting of visualizations can be tricky as these require basic knowledge of CSS, Javascript and development. Though a large number of users find this solution to be cost-effective, smaller businesses and startups that only need a limited number of licenses might find it expensive. Overall, Sisense is a strong BI solution with strong data capabilities, and its drill-down functionality empowers users to glean insightful and actionable analytics that drive business strategy by aiding in decision-making processes. To maximize its potential, businesses may require strong IT support for implementation and formatting of visualizations. It is certainly worth considering for enterprise BI needs, if the price is right!

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