

SAS Enterprise Miner and Alteryx are data analysis tools competing in advanced analytics. Alteryx stands out for its user-friendly workflow and data integration advantages, appealing to users who value flexibility.
Features: SAS Enterprise Miner provides advanced analytics with robust statistical tools, extensive predictive modeling, and integration with Base SAS. Alteryx is user-focused with drag-and-drop capabilities for non-technical users and broad data source support, emphasizing workflow automation and actionable insights.
Room for Improvement: SAS Enterprise Miner could enhance its user interface and streamline its setup process for better accessibility. Alteryx could improve its predictive modeling depth and offer more advanced machine learning integrations. Both tools can benefit from expanding community resources and support channels to assist users.
Ease of Deployment and Customer Service: SAS Enterprise Miner requires a comprehensive setup but offers significant training resources, helpful for navigating its complexity. Alteryx is simpler to deploy, with strong customer support facilitating faster onboarding and immediate use, beneficial for teams needing quick implementation.
Pricing and ROI: SAS Enterprise Miner demands higher initial investment, suited for businesses pursuing long-term analytics returns. Alteryx's lower initial cost and flexible pricing favor organizations seeking quick ROI and efficient data processing capabilities, offering substantial value through reduced implementation time.
| Product | Mindshare (%) |
|---|---|
| Alteryx One | 4.1% |
| SAS Enterprise Miner | 2.5% |
| Other | 93.4% |

| Company Size | Count |
|---|---|
| Small Business | 46 |
| Midsize Enterprise | 20 |
| Large Enterprise | 73 |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 4 |
| Large Enterprise | 7 |
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 Enterprise Miner enables comprehensive data management and analytics, handling extensive data volumes with diverse algorithms for model creation. Its integration and flexibility in SAS code usage make it suitable for both enterprise and personal use.
SAS Enterprise Miner is recognized for its data pipeline visualization, data processing, and statistical modeling capabilities. Its user-friendly GUI and automation support data mining tasks, decision tree creation, and clustering. However, improvements are needed in its interface visualization, affordability, technical support, and integration with languages like Python and cloud-native tech. Enhanced performance, visualization, and model development auditing, along with text analytics in the main license, are desirable upgrades. Integration with Microsoft SQL and combined offerings remains a priority.
What are SAS Enterprise Miner's most important features?SAS Enterprise Miner is applied across industries like banking, insurance, and healthcare for data mining, machine learning, and predictive analytics. It aids in activities such as text mining, fraud modeling, and forecasting model creation, handling structured and unstructured data, and performing ad hoc analysis to model business processes and analyze data clusters.
We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.