MATLAB vs SigmaPlot

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Our analysts compared MATLAB vs SigmaPlot 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.

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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SigmaPlot is a sophisticated software designed for advanced data analysis and scientific graphing, particularly excelling in Big Data Analytics. It is tailored for researchers, scientists, and engineers who require precise and detailed data visualization and statistical analysis. The software's ability to handle large datasets efficiently makes it invaluable for these professionals, enabling them to derive meaningful insights from complex data.

One of the key benefits of SigmaPlot is its extensive range of graphing options, which includes 2D and 3D plots, contour plots, and histograms. Users appreciate its intuitive interface and the high degree of customization available for graphs and charts. Additionally, SigmaPlot offers robust statistical analysis tools, which are essential for validating research findings and making data-driven decisions.

Compared to similar products, SigmaPlot is often praised for its user-friendly design and powerful analytical capabilities. Pricing typically falls within a mid-range bracket, with options for single-user licenses and annual subscriptions, making it accessible for both individual researchers and larger institutions.

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$980 Annually
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$399/User, One-Time
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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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  • Enhanced Data Visualization: SigmaPlot offers advanced graphing capabilities, allowing users to create detailed and publication-quality charts and graphs, which can help in better understanding and presenting complex data sets.
  • Improved Data Analysis: The software includes a wide range of statistical tools, enabling users to perform comprehensive data analysis, from basic descriptive statistics to complex regression models, ensuring accurate and reliable results.
  • Customizable Graphs: Users can fully customize their graphs, including axis scales, labels, and colors, to meet specific presentation needs, making it easier to communicate findings effectively.
  • Integration with Other Software: SigmaPlot seamlessly integrates with other software like Microsoft Excel and various statistical packages, facilitating smooth data import and export processes, which saves time and reduces errors.
  • Automated Reporting: The software can generate automated reports, which include graphs and statistical analyses, streamlining the reporting process and ensuring consistency and accuracy in documentation.
  • Enhanced Productivity: By automating repetitive tasks and providing intuitive tools for data manipulation and visualization, SigmaPlot helps users to work more efficiently, freeing up time for more critical analysis tasks.
  • High-Quality Output: SigmaPlot produces high-resolution graphics suitable for publication in scientific journals, ensuring that the visual representation of data meets the rigorous standards of academic and professional publications.
  • Comprehensive Support: Users have access to extensive documentation, tutorials, and customer support, which can help in quickly resolving issues and maximizing the software's potential.
  • Versatile Data Handling: The software can handle large datasets and perform complex analyses without compromising performance, making it suitable for big data analytics and research projects.
  • Enhanced Collaboration: SigmaPlot allows for easy sharing of graphs and data with colleagues, facilitating collaboration and ensuring that all team members have access to the same high-quality visualizations and analyses.
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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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  • Advanced Graphing Capabilities: Create a wide range of 2D and 3D graphs, including scatter plots, bar charts, and contour plots, with high customization options.
  • Data Analysis Tools: Perform complex statistical analyses such as regression, ANOVA, and non-linear curve fitting directly within the software.
  • Interactive Graphs: Modify graph elements interactively, allowing for real-time adjustments and immediate visual feedback.
  • Extensive Graph Templates: Utilize pre-built graph templates to streamline the creation process and ensure consistency across multiple projects.
  • Publication-Quality Output: Generate high-resolution graphs suitable for publication in scientific journals, with precise control over every aspect of the graph's appearance.
  • Data Import and Export: Import data from various sources including Excel, CSV, and SQL databases, and export results in multiple formats for easy sharing and collaboration.
  • Customizable User Interface: Tailor the workspace to fit your workflow with customizable toolbars, menus, and window layouts.
  • Scripting and Automation: Use SigmaPlot's scripting language to automate repetitive tasks and create custom functions, enhancing productivity and efficiency.
  • Integration with Other Software: Seamlessly integrate with other analytical tools and software packages, such as MATLAB and R, to extend functionality.
  • Comprehensive Help and Support: Access detailed documentation, tutorials, and a responsive support team to assist with any questions or issues.
  • Data Management: Organize and manage large datasets efficiently with built-in data management tools, ensuring data integrity and ease of access.
  • Statistical Guidance: Receive guidance on selecting appropriate statistical tests and interpreting results, aiding in accurate data analysis.
  • Custom Graph Annotations: Add text, arrows, and other annotations to graphs to highlight key data points and trends, enhancing the clarity of presentations.
  • Batch Processing: Process multiple datasets simultaneously with batch processing capabilities, saving time and reducing manual effort.
  • Template Sharing: Share custom graph templates with colleagues to maintain consistency and streamline collaborative projects.
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Product Ranking

#11

among all
Big Data Analytics Tools

#47

among all
Big Data Analytics Tools

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User Sentiment Summary

Excellent User Sentiment 4535 reviews
Excellent User Sentiment 25 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.

90%
of users recommend this product

SigmaPlot has a 'excellent' User Satisfaction Rating of 90% when considering 25 user reviews from 1 recognized software review sites.

4.5 (599)
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4.6 (1808)
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4.6 (1570)
4.5 (25)
4.6 (401)
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4.3 (157)
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Awards

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

User Favorite Award

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

User Favorite Award

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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Powerful Data Visualization: SigmaPlot excels at creating visually appealing and informative graphs, making it easy to communicate complex data insights to colleagues and stakeholders. For example, users have praised its ability to generate publication-quality figures for scientific reports and presentations.
Comprehensive Statistical Analysis: SigmaPlot offers a wide range of statistical tests and functions, enabling users to perform in-depth analysis on their data. This is particularly useful for researchers and analysts who need to go beyond basic descriptive statistics and delve into more complex statistical models.
User-Friendly Interface: SigmaPlot's interface is intuitive and easy to navigate, even for users who are not familiar with statistical software. This makes it accessible to a wider range of users, from students to experienced researchers.
Automation and Scripting: SigmaPlot allows users to automate repetitive tasks and create custom scripts, which can save significant time and effort when working with large datasets. This is especially beneficial for users who need to perform the same analysis on multiple datasets or who want to streamline their workflow.
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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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Limited Data Handling: SigmaPlot struggles with large datasets, making it less than ideal for Big Data Analytics. Users have reported slow processing times and crashes when working with datasets exceeding a certain size.
Lack of Advanced Analytics: SigmaPlot lacks the advanced analytics features commonly found in other Big Data Analytics tools. For example, it doesn't offer machine learning algorithms or sophisticated statistical modeling capabilities.
Limited Data Visualization Options: While SigmaPlot offers basic visualization options, it lacks the flexibility and customization found in other tools. Users have expressed frustration with the limited chart types and difficulty in creating visually appealing and informative graphs.
Steep Learning Curve: SigmaPlot's interface can be complex and challenging to navigate, especially for users unfamiliar with statistical software. This steep learning curve can hinder productivity and make it difficult for new users to quickly become proficient.
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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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Is SigmaPlot the real deal or just a bunch of hot air? SigmaPlot is a popular choice for creating high-quality graphs and reports, especially for those working in scientific fields. Users praise its ease of use and wide range of graphing options, making it a breeze to create professional-looking visuals. The software's ability to integrate with Microsoft Office is a major plus, allowing users to easily access data from Excel spreadsheets and present results in PowerPoint presentations. However, some users have noted that SigmaPlot can be resource-intensive, requiring a powerful computer to run smoothly. This can be a drawback for users with older or less powerful machines. SigmaPlot's strengths lie in its ability to create visually appealing and customizable graphs. Users can choose from a wide variety of graph types, including 2D and 3D options, and customize every detail of their charts. This makes it ideal for creating publication-ready graphs that can be easily shared and understood. The software also offers powerful statistical analysis tools, allowing users to explore their data in depth and draw meaningful conclusions. SigmaPlot is best suited for researchers, scientists, and anyone who needs to create high-quality graphs and reports for presentations, publications, or other professional purposes. Its ease of use, wide range of features, and integration with Microsoft Office make it a valuable tool for anyone working with data. However, users with limited computing resources may want to consider other options.

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