List of the Top 3 Data Analysis Software for SAS Viya in 2025

Reviews and comparisons of the top Data Analysis software with a SAS Viya integration


Below is a list of Data Analysis software that integrates with SAS Viya. Use the filters above to refine your search for Data Analysis software that is compatible with SAS Viya. The list below displays Data Analysis software products that have a native integration with SAS Viya.
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    JMP Statistical Software Reviews & Ratings

    JMP Statistical Software

    JMP Statistical Software

    Transform data into insights with intuitive, interactive analysis.
    JMP, a data analysis tool available for both Mac and Windows, integrates robust statistical capabilities with engaging interactive visualizations. Users can effortlessly import and analyze data thanks to its drag-and-drop interface, which features dynamically linked graphics, extensive libraries of advanced analytical tools, a scripting language, and various options for sharing insights, enabling a more profound exploration of data. Founded in 1980, JMP was created to harness the emerging potential of graphical user interfaces for personal computers, and it has consistently evolved by incorporating state-of-the-art statistical techniques in each new version. Remarkably, John Sall, the founder of JMP, remains actively involved in the development of the software as its Chief Architect, ensuring that it stays at the forefront of data analysis innovation.
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    SAS Analytics Pro Reviews & Ratings

    SAS Analytics Pro

    SAS

    Empower your data journey with integrated, expert-driven solutions.
    We are excited to present a comprehensive and user-friendly suite that facilitates data access, manipulation, analysis, and visualization, available for both cloud and on-premises environments. Why continue to manage multiple software systems from different vendors? Our integrated package includes three of our most popular offerings—Base SAS, SAS/STAT, and SAS/GRAPH—reducing costs associated with licensing, maintenance, training, and support while providing consistent access to information across your organization. Our SAS statistical methods are routinely updated to reflect the most current advancements in statistical science. Furthermore, our technical support team is composed of experienced statisticians holding master's and doctorate degrees, delivering a level of expertise and service that is seldom found among software providers. With over four decades of experience in developing statistical analysis tools, SAS remains the preferred option for organizations worldwide seeking dependable solutions for their data challenges. This ongoing dedication to quality ensures that you have the necessary tools to make well-informed decisions driven by precise data insights. By choosing SAS, you are investing in a future where data-driven strategies can thrive.
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    SAS Visual Analytics Reviews & Ratings

    SAS Visual Analytics

    SAS

    Transform data into insights with intuitive, conversational chatbots.
    An intuitive low-code visual platform enables users to create and deploy customized chatbots that comprehend natural language effectively. Users can obtain text responses, access data, create reports and visualizations, and apply analytics and AI through an easy-to-navigate conversational interface. Integrated within the SAS ecosystem, the platform allows seamless configuration of bots to improve data insight accessibility or connect them to external services for enhanced reach. Gaining insights from data has never been easier than just sending a straightforward message. With the aid of intelligent suggestions and clearly labeled related metrics, users can swiftly pinpoint significant relationships within their data. By harnessing machine learning and natural language explanations, users can discover, visualize, and convey engaging narratives and insights that are both accessible and comprehensible. This allows for a deep investigation into the causes behind various outcomes, exploration of all potential avenues, and the unearthing of hidden opportunities within the data. Moreover, the system automatically identifies key relationships, outliers, clusters, and more, revealing vital insights that can inform strategic actions and decision-making. Ultimately, this groundbreaking approach equips users with the tools to confidently and clearly navigate through intricate data environments and make impactful decisions based on their findings.
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