

Alteryx and SAS Predictive Analytics are competitors in data analysis. Alteryx shows advantages in ease of use and speed of deployment, while SAS is preferred for comprehensive analytics and advanced modeling capabilities.
Features: Alteryx offers user-friendly workflow automation, easy integration with multiple data sources, and an intuitive interface that streamlines data analysis. SAS Predictive Analytics provides a robust suite of analytical tools, advanced modeling techniques, and intricate statistical capabilities.
Ease of Deployment and Customer Service: Alteryx features a straightforward deployment model with extensive support resources, which facilitates a smooth setup process. SAS Predictive Analytics has a powerful deployment model suited for large-scale operations, requiring more technical expertise for installation but offering comprehensive technical assistance for complex deployments.
Pricing and ROI: Alteryx typically associates with lower initial costs and quicker returns on investment through a modular pricing structure and fast implementation. SAS Predictive Analytics demands a higher upfront investment but often yields substantial ROI through its expansive analytical capabilities.
| Product | Mindshare (%) |
|---|---|
| Alteryx One | 8.7% |
| SAS Predictive Analytics | 3.8% |
| Other | 87.5% |

| Company Size | Count |
|---|---|
| Small Business | 46 |
| Midsize Enterprise | 20 |
| Large Enterprise | 73 |
Alteryx is the agentic analytics and automation company helping organizations turn complex data into trusted insights, decisions, and action. Built for the people closest to the business—analysts and operations teams—Alteryx helps organizations put data and AI to work by connecting data, applying governed business logic, and automating data-intensive processes.
At the center of this approach is Alteryx One, a platform designed to work across an organization’s existing data and technology ecosystem. It enables teams to bring together data, prepare and analyze it, and define, maintain, and update business logic into visual workflows that AI uses to automate operations and insights without coding.
Alteryx workflows close the last-mile gap between data platforms and the decisions and operations that run the business. While data platforms provide the foundation and AI creates new possibilities, the business logic needed to turn information into reliable action is often trapped in spreadsheets, processes, and the expertise of individual teams. Alteryx makes that logic visible, understandable, repeatable, and auditable (VURA)—giving AI the trusted business context it needs to deliver reliable results. This helps organizations scale trusted analytics and automation across teams without relying on specialized technical skills.
Over 8,000 customers worldwide, including more than half of the Global 2000, rely on Alteryx to improve revenue performance, manage costs, increase operational efficiency, and reduce risk. Collectively, customers run more than 380 million workflows on Alteryx each year.
Alteryx One brings together data, analytics, business logic, and AI to help organizations move from AI experimentation to trusted, enterprise-scale execution. Key capabilities include:
Alteryx One helps organizations turn AI and data investments into trusted business outcomes by connecting enterprise data, governed business logic, and AI-powered workflows.
By bringing together enterprise data, governed business logic, analytics, and AI, Alteryx helps organizations move beyond AI-generated answers to trusted, verifiable outcomes and intelligent workflows that drive real business value.
SAS Predictive Analytics is a comprehensive tool for advanced data analysis, offering businesses innovative ways to forecast and optimize their operations effectively.
It stands out in its ability to process large datasets and integrate seamlessly with existing systems, providing insights that drive strategic decision-making. Its flexible framework allows diverse industries to customize analytics solutions tailored to specific demands, enhancing operational efficiency and accuracy.
What are the key features of SAS Predictive Analytics?SAS Predictive Analytics has been implemented effectively across industries such as retail for demand forecasting, in healthcare for patient outcome predictions, and in finance for risk assessment models, making it a valuable asset for improving business performance and decision-making accuracy.
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