SAS Viya vs SigmaPlot

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Our analysts compared SAS Viya 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

SAS Viya is a cloud-based in-memory analytics engine that provides data visualization, reporting and analytics to businesses for actionable data insights. Powered by AI, it brings together visual analytics, visual statistics and data science for enterprises to achieve end-to-end self-service analytics. It uses a standardized code base with support for programming in R, Python, SAS, Java and Lua.

Deployable in the cloud, on-premises and hybrid environments, it integrates with a wide range of business applications through an agile, scalable architecture. The vendor offers an introductory 30-day free trial.

Pros
  • Comprehensive features
  • Powerful analytics capabilities
  • User-friendly interface
  • Scalable architecture
  • Strong support from SAS
Cons
  • Steep learning curve
  • Limited customization options
  • High cost of ownership
  • Potential vendor lock-in
  • Resource-intensive
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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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$10,000 Annual
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$399/User, One-Time
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Product Insights

  • Improve Decision-Making: Make informed business decisions by using historical and current proprietary information to derive analytical insights. Compute vast amounts of data faster and resolve complexities through parallel processing. Boost workflow efficiencies by deploying operational decisions that define real-time best actions at scale. 
  • Self-Service Analytics: Easily perform automated forecasting, goal-seeking and scenario analysis — no technical skills needed. Identify user sentiment through text analytics and incorporate geographical data for a complete picture of business metrics. 
  • Maximize ROI: Save time through built-in automation for data prep, feature engineering, algorithm selection and AI-powered data discovery. Innovate, rather than spending time on tedious data management and analytics tasks. 
  • Data Security: Ensure data encryption at rest and while moving across systems, in addition to auditing protocols. Connect to external data management systems like Oracle, Teradata, Facebook, Amazon and Esri seamlessly through Kerberos, SAML, OAuth and OpenID. 
  • Data Management: Import data by using an IDE or through REST APIs, and visualize and analyze it through self-service data prep. Join tables, apply functions and perform calculations, or drag-and-drop, pivot, and slice and dice to view desired metrics. 
  • Augmented Analytics: Identify relationships in data through automatically generated suggestions and guided analysis, and track anomalies and outliers. Tell data stories by generating easy-to-understand visuals and dashboard summaries in natural language. Derive meaningful insights for the future by creating what-if scenarios for forecasting and predictive analytics. 
  • Mobility: Access business reports on the go through a native mobile app that supports a variety of charts, graphs and tables. Configure app functionality per device for specific users to add and view reports, share links, add and view comments and view alerts. 
  • Scalable Architecture: Leverage its modular microservices architecture to scale as per business needs. Monitor and manage the health and configuration of individual microservices instances through the SAS Environment Manager. Deploys seamlessly to any type of environment, including the cloud, and runs on Cloud Foundry as a platform-as-a-service (PaaS). 
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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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  • Visualization and Reporting: Dig into data for in-depth analysis and view key business metrics through autonomous data exploration and manipulation. Create and customize interactive reports and charts to share with others across the organization for collaborative insight. Get suggestions on graphics best suited to display pertinent data through auto charting. 
  • Data Modeling: Analyze data with predictive models through regression, clustering and neural networks. Ensure version control by tracking data models from creation through usage by registering, validating and monitoring each version. Creates snapshots of model properties and files and retains them for the future. 
  • Visual Statistics: Build diverse scenarios simultaneously and refine them with what-if analyses to uncover insights through experimentation. Unifies all business tools, irrespective of the language they support, into a common visual analytics solution. 
  • Cloud Integrations: Develop low-code technologies by porting SAS open-source models into mobile and business applications through its cloud-native capability. Optimize analytics workloads on clouds like Microsoft Azure and ensure cost-efficient migration of analytics to the cloud through a workload management tool. 
  • ML-Based Insights: Get valuable insights from new data types by combining structured and unstructured data in integrated machine learning programs. Choose the desired ML algorithm from a range of options and easily find the optimal parameter settings. Use Python within Jupyter notebooks for deep learning functions like computer vision, natural language processing, forecasting and speech processing. 
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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

#41

among all
Big Data Analytics Tools

#47

among all
Big Data Analytics Tools

Find out who the leaders are

Analyst Rating Summary

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Analyst Ratings for Functional Requirements Customize This Data Customize This Data

SAS Viya
SigmaPlot
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Augmented Analytics Computer Vision And Internet Of Things (IoT) Dashboarding And Data Visualization Data Management Data Preparation Geospatial Visualizations And Analysis Machine Learning Mobile Capabilities Platform Capabilities Reporting 96 100 98 96 86 93 70 96 0 25 50 75 100
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User Sentiment Summary

Great User Sentiment 203 reviews
Excellent User Sentiment 25 reviews
85%
of users recommend this product

SAS Viya has a 'great' User Satisfaction Rating of 85% when considering 203 user reviews from 3 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.

4.2 (157)
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4.3 (33)
4.5 (25)
4.7 (13)
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Awards

SelectHub research analysts have evaluated SAS Viya and concluded it deserves the award for the Best Overall Big Data Analytics Tools available today and earns best-in-class honors for Augmented Analytics and Computer Vision and Internet of Things (IoT).

Analysts' Pick Award
Augmented Analytics Award
Computer Vision and Internet of Things (IoT) Award

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

User Favorite Award

Synopsis of User Ratings and Reviews

Ease of Use: All users who mention its interface say that it makes autonomous analysis and data modeling accessible to users of all skill levels.
Support: All users who review support say that representatives are responsive and helpful in resolving issues and queries.
Functionality: Around 71% of the users who comment on its feature set say that the software helps discover data insights through powerful visualizations and on-the-fly calculations.
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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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Cost: All users who discuss its pricing say that the cost of acquisition is high.
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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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SAS Viya is an AI-powered data management and visual analytics platform with a robust, scalable architecture. All users who reviewed data source connectivity said that it connects to multiple sources and integrates easily with business applications, giving a seamless user experience. With fast in-memory processing of big data sets, it leverages the power of R to enable visual statistics. All users who mentioned predictive analysis said that it enables automated forecasting through what-if scenarios, goal-seeking, text mining and decision trees. Citing ease of use, all users say that the platform is intuitive and enables easy data modeling and self-service visual analytics. All users who mentioned support said that they are responsive and knowledgeable. Around 71% of the users who comment on its functionality say that it is a robust, scalable and flexible platform that enables visualization and analysis of business data, though some users say visual statistics need improvement. On the flip side, all users who review its cost say that the tool is expensive. In summary, SAS Viya is an analytics tool that provides data management, visualization and AI-powered analytics to enterprises for improved decision making, though small organizations and startups might find it cost-prohibitive.

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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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