MATLAB vs WebFOCUS

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Our analysts compared MATLAB vs WebFOCUS based on data from our 400+ point analysis of Big Data Analytics Tools, user reviews and our own crowdsourced data from our free software selection platform.

WebFOCUS Software Tool

Product Basics

MATLAB is a numerical computing and programming platform that enables users to develop and implement mathematical algorithms, create models and analyze data. Designed for engineers and scientists, it can be used for a range of purposes, including deep learning and machine learning, computational finance, image processing, predictive maintenance, IoT analytics and more. Built around its matrix-based programming language, it can help users run analyses on large data sets as well as design and rigorously test models.

It is available through on-premise installation on Windows and Mac. For eligible licensees, there is also a SaaS version accessible through a web browser. Users can purchase it under a perpetual or annual license, with discounts for academic institutions. For individuals not associated with government agencies, private companies or other organizations, there is a less expensive home license for personal use. Students can purchase a student license for a version designed for coursework and academic research.

Early-stage technology startups can apply for startup-friendly pricing and opportunities.
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WebFOCUS is a comprehensive data management and analytics platform that enables organizations to access, transform, visualize, and distribute data across multiple platforms. It's particularly well-suited for enterprises with large, complex datasets and a need for robust reporting and analytics capabilities. Key benefits include its ability to unify disparate data sources, create interactive dashboards and visualizations, and automate data-driven workflows. Popular features include its drag-and-drop report builder, self-service data exploration tools, and integration with various business intelligence applications. User experiences generally praise its ease of use, scalability, and ability to handle diverse data types. Pricing is typically based on the number of users, data sources, and required features, with options for both on-premise and cloud-based deployments.

Pros
  • Easy to use interface
  • Handles large datasets
  • Diverse data source integration
  • Customizable reports and dashboards
  • Scalable for enterprise needs
Cons
  • Occasional performance issues
  • Limited out-of-the-box visualizations
  • Upgrades can be complex
  • UI may feel outdated to some
  • Learning curve for advanced features
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$980 Annually
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$50/Three Concurrent Users, Annually
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Mobile
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Product Assistance

Documentation
In Person
Live Online
Videos
Webinars
Documentation
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Videos
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Email
Phone
Chat
FAQ
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Knowledge Base
24/7 Live Support
Email
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Forum
Knowledge Base
24/7 Live Support

Product Insights

  • Get Results Faster: Obtain quicker results through contextual hints, automatic code generation and a fully integrated debugger. Spend less time on programming and troubleshooting.
  • Analyze with Less Code: Teach the platform to automatically generate code to reproduce work and save time, as well as perform tasks such as training machine learning models or labeling data. 
  • Add-Ons For Every Application: Customize and extend the functionality of the core platform through the MATLAB family of add-on products to address specific business needs.
  • Scale Up to Big Data: Scale analyses to process big data by running on clusters, GPUs and clouds. Speed up computation on large data sets without needing to rewrite code or learn big data programming. 
  • Updates and Upgrades: Runs code more than twice as fast as before, due to continual updates and new features on the platform, as well as twice-yearly new releases.
  • Access Anywhere: Sign in to the online platform from any standard web browser, without needing to download and install the application on new machines. Syncs files between computers and the online platform via cloud storage and integration, eliminating the need for manual upload or download. 
  • Enhanced Collaboration: Collaborate by sharing scripts and files directly online or publishing to the web via interactive controls. Easily package or translate analysis for other platforms, or document work and export it to reports for sharing.
  • Free Trial: Try it hands-on with a free 30-day trial. Students whose schools have a campus license can access a free copy of the software without the 30-day trial limitation.
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  • Ease of Use: Everyone can access and derive rich insights and helpful information from enterprise data through an intuitive GUI with drag-and-drop ease. Increase adoption and encourage self-service data exploration at all levels of technical knowledge.
  • Make Better Decisions: Empower smarter, more consistent and more accurate proactive decision-making throughout the organization.
  • Faster Time to Insight: Streamline data workflows and analytics processes and efficiently access the most relevant insights through a personalized, interactive home page and enhanced content search.
  • Scalable: Deploy to millions and customize the solution to business needs. Scale up or down, enjoy regular updates and maintain security through the cloud.
  • IT Friendly: Easily deployable and connectable with internal IT resources, with accelerated upgrades. 
  • On-the-Go Information: Stay connected to data through its native mobile app and browser-accessible platform.
  • Strong Vendor Support: The vendor has earned several awards in recent years for its dedication to customer success through professional and friendly service.
  • Free Trial: Request a free 14-day trial of the product through the vendor’s website.
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  • Data Import: Import and access a variety of data types, including text files, spreadsheets, images, audio, video, scientific data formats, IoT data, large data sets and more. 
  • Algorithm Development: Develop algorithms with thousands of core mathematical, engineering and scientific functions and tools for debugging, implementation and optimization. 
  • Automate with Machine Learning: Leverage interactive apps to see how algorithms work with data and then tweak to get the desired results. Then, automatically generate a program to reproduce or automate workflows. 
  • Live Editor: Build functions and generate code, creating scripts that can be enhanced with formatting through an interactive editor. Compile these scripts and results into an executable notebook. Explore parameters and immediately see the results, saving time.
  • Data Analysis: Analyze large data sets and big data in a multitude of ways through thousands of prebuilt functions for statistical analysis, machine learning and signal processing.
  • Data Visualization: Turn data into graphics with prebuilt 2D and 3D plots, including line plots, histograms, bar graphs, scatter plots, pie charts, word clouds, maps, polar plots, vector fields and animations.
  • Mathematics: Perform mathematical calculations via a vast library of mathematical functions, including linear algebra, statistics, Fourier analysis, numerical integration, differential equations and more.
  • Modeling: Supports model-based design, multi-domain simulation and automatic code generation via integration with another product from the same vendor, Simulink. Helps in numeric and symbolic modeling and provides mathematical tools like curve fitting, statistics, ODE and PDE solving, calculus and more.
  • Teach with Live Scripts: Build live scripts with its code to let students explore concepts and learn on their own. Create engaging lectures that walk students through explanations, math equations and results, one section at a time. Modify code on the fly to demonstrate how to use math to solve complex problems.
  • App Designer: Create, package and share professional desktop and web apps without needing all the technical know-how of app development. Lay out a graphical user interface through drag-and-drop tools and write the coding for the app’s behavior with an integrated editor and code analyzer that warns about errors in code as it’s written.
  • Community Gallery: See examples from the community on how to display and manipulate data by visiting the plot gallery and live script gallery on the vendor’s website.
  • Programming Integrations: Supports interfacing with other programming languages. Use the platform from within another programming environment without starting a new desktop session through engine APIs that support C/C++, Fortran, Java, Python and more. Call functions and objects from other libraries, including C, C++, Java, Python, .NET, COM objects and more from within the platform. Convert algorithms written in its code to C/C++.
  • Add-Ons: Utilize toolboxes and specialized solutions for fields such as math and optimizations, statistics and data science, code generation, application deployment, database access and reporting. These toolboxes are professionally built, rigorously tested and fully documented. Integrate automated reporting into the platform with richly-formatted custom reports in PDF, Word and HTML formats. 
  • MATLAB Online: Access the platform from any web browser through cloud-based services without downloading and installing the software. 
  • MATLAB Drive: Store, manage and share files from the cloud across devices and work with files from anywhere.
  • Mobile App: Learn and teach through mobile apps for iOS and Android devices. Connect to sessions, and acquire sensor data to analyze and capture images and videos.
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  • App Studio: Develop customized applications called InfoApps that analyze data and generate insights for end-users. Supported features include data visualization, reporting, drill-downs and more. 
  • Data Visualization: Turn data into content with eye-catching data visualizations. Create and customize a variety of charts that highlight meaningful trends.
  • Pages: Organize visual content and information into interactive, responsive pages that function as dashboards. Drag and drop items onto the canvas and create compelling data stories 
  • BI Portal: Build a complete, modern website that displays key information in one place with zero-training accessibility. Encourage self-service data discovery through drill-down, filters and more. Enable a custom sign-in page for the company.
  • Home Page: Easily navigate to the tools, functions and features used most, with a personalized landing page that displays favorites, last viewed items and more, based on recent activity.
  • Data Management: Streamline data access and data management. Connect to various data sources — including big data — upload and modify files and prepare it for future analysis, all from a single environment. Improves data quality with various data preparation enhancements.
  • Reporting: Create highly complex reports from any enterprise data source. Automate scheduled report distribution to anyone within or outside the organization.
  • In-Document Analysis: Interact with analytics with an integrated, in-document engine that supports data sets and functions similar to Excel. Brought together in singular HTML 5 pages that are accessible even without an internet connection. 
  • Security: Leverage a variety of tools and controls for administering and securing the platform, including role-based access control and granular level security options.
  • Mobile: Run reports, analyses and dashboards from any corporate data source on iOS and Android devices. The native mobile app supports familiar, touch-based gestures for smooth navigation. Find, retrieve and share content, whether online or offline.
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Product Ranking

#11

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#50

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Big Data Analytics Tools

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User Sentiment Summary

Excellent User Sentiment 4535 reviews
Great User Sentiment 439 reviews
92%
of users recommend this product

MATLAB has a 'excellent' User Satisfaction Rating of 92% when considering 4535 user reviews from 5 recognized software review sites.

87%
of users recommend this product

WebFOCUS has a 'great' User Satisfaction Rating of 87% when considering 439 user reviews from 5 recognized software review sites.

n/a
4.5 (14)
4.5 (599)
4.4 (158)
4.6 (1808)
4.5 (170)
4.6 (1570)
n/a
4.6 (401)
4.3 (65)
4.3 (157)
3.2 (32)

Awards

MATLAB 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

Service and Support: All users who mentioned support said that online community forums are supportive in helping them leverage the platform to its maximum potential.
Data Processing: Around 92% of users who discussed its data processing capabilities said that the solution helps to simulate and visualize complex mathematical models in an intuitive manner.
Data Analysis: According to 92% of users who reviewed data analysis, the platform, with multiple built-in packages, is useful in exploring data, creating machine learning models and predictive analysis.
Functionality: Citing a range of pre-loaded functions and algorithms, approximately 88% of users who reviewed functionality said that the solution is a powerful tool with a rich feature set and strong computing abilities.
Ease of Use: Reviewing ease of using the tool, approximately 60% of users said that, with detailed documentation being readily available, minimal coding experience is necessary to create and combine scripts.
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Support: All of the users who mentioned the vendor’s support praised their responsive, helpful support team and dedication to customer success.
Reporting: Around 96% of users who mentioned reporting said that this tool works well for report creation and scheduled distribution.
Data Visualization: About 90% of users who reviewed the tool for data visualization said that it excels in dashboard and chart creation.
Functionality: This is a robust, feature-rich tool with a great degree of flexibility and frequent updates, according to around 76% of users who reviewed the tool’s functionality.
Ease of Use: According to about 63% of users who reviewed the platform’s ease of use, its intuitive drop-and-drop interface simplifies data analysis and visualization.
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Performance and Speed: Around 91% of users who reviewed speed said that the platform is resource-hungry in terms of power and space and slows down when performing complex computations.
Cost: Citing licensing costs, approximately 81% of users said that the software is expensive for individual users.
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User Interface: Of the users who mentioned this solution’s UI, approximately 87% said that it looks outdated, especially compared to those of competitors.
Cost: About 83% of users who reviewed it for price said that this solution is expensive, especially when considering add-on modules.
Performance: All of the users who reviewed the platform’s performance and speed mentioned bugs, lag and crashes, among other issues.
Learning Curve: It takes some time to learn this platform, according to about 60% of users who reviewed its learning curve.
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MATLAB is a computing and programming tool that combines the power of functions and algorithms with data integration, modeling and visualization for predictive business data analysis. Users perform complex computations on data sets that the platform ingests from a multitude of data sources to glean business-specific metrics. Citing online communities, all users who reviewed support said that the tool is accessible to beginners, while providing enough depth for advanced users, though some said that the coding syntax could be daunting for non-technical users initially. Around 92% of users who reviewed its analytical capabilities said that the platform provides a wide range of built-in packages to provide out-of-the-box data analysis solutions. With its minimal scripting, many users who discussed data processing said that they could simulate complex mathematical functions to visualize complex data models. Reviewing its functionality, many users said that its rich library and design makes it possible to write powerful programs easily. A majority of users who discussed its performance said that the platform consumes a lot of power and space and slows down when performing complex computations, possibly because updates, though frequent, do not include optimization for older features. Many users who reviewed the cost said that individual user licenses are expensive, and buying additional libraries adds to the cost since many of these have interlinking dependencies, though some users said that the platform provides value for money. In summary, MATLAB is a programming solution that leverages machine learning for data collection and complex computations for users to create data models and visualize enterprise metrics for predictive analysis.

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WebFOCUS offers a feature-rich business intelligence data and analytics platform that unlocks actionable insights and the power of decision-making for users throughout an organization. Rated highly for ease of use by most reviewers, it empowers self-service data discovery with a user-friendly UI that enables drag-and-drop data analysis and visualization; some users noted that this UI looks outdated, especially compared to those of competitors. The platform offers a wide range of prebuilt data visualizations that users can further customize if necessary. This platform excels at creating and designing reports, then distributing them either at-will or through the automated scheduling tool, as noted by a majority of users who reviewed reporting. Most notably, the platform has an outstanding support team - all of the users who reviewed its support expressed satisfaction with their proactive, responsive assistance, citing the vendor’s dedication to the success of their customers as notably apparent. Customers can tailor the platform to their needs, as its flexibility allows for customized solutions. Frequent updates add value over time, though some users remarked that these sometimes break features from older versions. Other performance issues noted in reviews include lags when performing complex queries, infrequent crashes, slow load times and issues when accessing the platform from specific devices or browsers. While easy to pick up and use, especially for the end-user, some reviewers said that there is a learning curve to master the many features of this tool — a few users noted that this learning curve lasted a few months for some team members in their organizations. Overall, WebFOCUS is a worthy pick for self-service data visualization and reporting, especially in the hands of an organization willing to invest the resources and time to make it shine.

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