

Alteryx and SAS Visual Data Mining and Machine Learning are competitive products in data analytics and machine learning. Alteryx has the upper hand in pricing and customer service, while SAS Visual Data Mining and Machine Learning stands out with advanced features.
Features: Alteryx provides an intuitive drag-and-drop interface, strong data preparation capabilities, and efficient handling of large datasets. SAS Visual Data Mining and Machine Learning offers comprehensive deep learning tools, robust data transformation, and automation features, and excels in handling complex algorithms and larger datasets.
Ease of Deployment and Customer Service: Alteryx offers straightforward deployment with reliable customer support, making it accessible for non-technical users. SAS Visual Data Mining and Machine Learning provides extensive deployment options, though they may require expert guidance. Their support team is highly regarded for providing detailed assistance.
Pricing and ROI: Alteryx is known for competitive pricing with lower setup costs that enable early ROI, appealing to small to medium enterprises. SAS Visual Data Mining and Machine Learning has a higher price point due to its extensive features, resulting in a longer path to ROI, appealing to larger enterprises.
| Product | Mindshare (%) |
|---|---|
| Alteryx One | 4.1% |
| SAS Visual Data Mining and Machine Learning | 0.9% |
| Other | 95.0% |

| 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 Visual Data Mining and Machine Learning provides comprehensive analytics powered by machine learning, aiding data scientists in discovering hidden patterns effortlessly with a user-friendly interface.
SAS Visual Data Mining and Machine Learning offers scalable and efficient analytics tools that streamline data processing, model building, and evaluation. It supports the entire analytical lifecycle, enabling users to build models that produce actionable insights faster and more accurately by leveraging automation and cutting-edge algorithms.
What are the essential features?In industries such as finance, healthcare, and retail, SAS Visual Data Mining and Machine Learning supports advanced modeling and predictive analytics, driving innovation and competitive advantage through tailored solutions that address unique operational challenges.
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