About SAS IML
SAS IML is a matrix programming language software from SAS Institute designed for advanced statistical analysis. It provides matrix manipulation, statistical functions, and numerical improvement so users can perform complex data analysis tasks. This software is particularly useful for individuals who need to work with matrices and perform sophisticated computations. SAS IML supports various statistical modeling techniques, making it suitable for data scientists and statisticians. Its flexibility in handling mathematical functions allows users to implement custom algorithms easily. Key capabilities: matrix computation statistical modeling numerical improvement custom algorithm development integration with SAS software Best for: data analysts and statisticians that need to conduct advanced statistical analyses and matrix operations.
SAS Viya, the flagship offering from SAS Institute, stands as a premier analytics and AI platform built to empower organizations across industries with the ability to convert complex data into actionable insights. As a modern evolution of the SAS legacy, Viya integrates advanced machine learning, statistical modeling, AI innovations like Agentic AI and Quantum AI, and robust data governance into a unified ecosystem that spans the entire analytics lifecycle—from data access to insight delivery. Its cloud-native and cloud-agnostic architecture enables deployment on major cloud platforms like AWS, Azure, and Google Cloud, offering flexibility in how organizations adopt and scale their analytics strategies. Viya’s architecture leverages high-performance in-memory processing to accelerate analytical workloads, delivering results at impressive speeds even with massive datasets, while maintaining fault tolerance and system resilience—key traits for enterprise-level use. One of Viya’s strengths is its dual-mode user experience, accommodating both technical and non-technical users. While data scientists can work in familiar coding environments such as Python, R, SAS, and Lua, business analysts and managers benefit from easy-to-use visual interfaces, including dashboards and interactive reports.
Pros & Cons
- End-to-End AI Platform SAS Viya offers a full-stack, cloud-native platform for data access, preparation, modeling, and deployment.
- Cloud Flexibility Works across AWS, Azure, Google Cloud, and OpenShift—SAS-managed or self-managed.
- Agentic AI & GenAI Capabilities Supports intelligent agents, generative AI, and digital twins with strong governance and explainability.
- Industry-Specific Solutions Tailored offerings for fraud detection, marketing, IoT, healthcare, finance, and more.
- Trusted Analytics Legacy Backed by decades of experience and a reputation for transparency, compliance, and reliability.
- Performance & Cost Efficiency Claims up to 30x faster model training and 86% lower cloud costs compared to alternatives.
- Strong Governance & Compliance Built-in tools for AI governance, model risk management, and responsible innovation.
- Enterprise-Oriented May be too complex or costly for small businesses or individual users.
- Learning Curve Advanced features like Agentic AI and quantum AI may require specialized expertise.
- Opaque Pricing No public pricing tiers—requires demo or quote request to evaluate cost.
- Heavy Ecosystem Integration and deployment may require alignment with SAS-specific tools and workflows.
Features
Key features
Creates trustworthy, highly intelligent AI agents to solve business problems on any cloud with strong governance.
Offers flexible deployment options across different cloud providers, enabling users to manage their environment on their terms.
Utilizes advanced analytics, machine learning, and real-time decisioning to detect and prevent fraud across various channels.
Provides fast, distributed, in-memory processing to handle complex analytical workloads and large datasets with high performance.
Supports open-source languages like Python and R, along with SAS, allowing data scientists to use their preferred coding environment.
Combines the power of AI with quantum computing for unprecedented potential in problem-solving.
Additional features
Provides comprehensive solutions for data and AI.
The core platform for data and AI solutions, built for performance and flexibility.
Creates trustworthy, intelligent agents for business problems.
Integrates Epic's Unreal Engine with SAS AI for digital twins.
Combines AI with quantum computing.
Offers solutions tailored to specific business domains to improve revenue, performance, and risk.
Detects and prevents fraud using advanced analytics and real-time decisioning.
Provides AI-powered solutions for the Internet of Things.
Offers solutions to enhance marketing efforts.
Provides solutions for risk management.
Built for native cloud deployment.
Can be used on any cloud (SAS managed, self-managed).
Provides faster results and cost savings.
Allows users to explore the platform in a secure trial environment.
Users can request a demo or price quote.
Offers free software and resources for academics.
Provides credentials for career growth in analytics.
Offers extensive algorithms, automation, and AutoML functionalities for rapid model development.
Enables data preparation, integration, and cleansing in one workflow.
Provides interactive dashboards and reports for easy interpretation of analysis results.
Teams can work together and share models on a central platform.
Helps improve data quality.
Offers capabilities for statistical analysis.
Simplifies the management and deployment of models.
Provides forecasting capabilities.
Uncovers insights from unstructured data using natural language processing and machine learning.
Enables solving complex optimization problems.
Provides tools for econometric analysis.
Creates and governs analytically driven decision flows.
Uncovers real-time insights from streaming data.
Offers capabilities for conversational AI.
Helps in managing data and facilitating regulatory compliance.
Optimizes and prioritizes workloads within a Kubernetes cluster.
End-to-end features that enable trustworthy practices at every stage of the AI lifecycle.
Pricing
Countries & Languages
Interface languages
Billing currencies
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About SAS IML
SAS IML is a matrix programming language software from SAS Institute designed for advanced statistical analysis. It provides matrix manipulation, statistical functions, and numerical improvement so users can perform complex data analysis tasks. This software is particularly useful for individuals who need to work with matrices and perform sophisticated computations. SAS IML supports various statistical modeling techniques, making it suitable for data scientists and statisticians. Its flexibility in handling mathematical functions allows users to implement custom algorithms easily. Key capabilities: matrix computation statistical modeling numerical improvement custom algorithm development integration with SAS software Best for: data analysts and statisticians that need to conduct advanced statistical analyses and matrix operations.
SAS IML Details
SAS IML's In-App Market Place
Does SAS IML have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
Mini Apps
N/A
Pricing Options
Accepted Payment Currencies
USD ($), EUR (€), GBP (£)
Pros & Cons
- End-to-End AI Platform SAS Viya offers a full-stack, cloud-native platform for data access, preparation, modeling, and deployment.
- Cloud Flexibility Works across AWS, Azure, Google Cloud, and OpenShift—SAS-managed or self-managed.
- Agentic AI & GenAI Capabilities Supports intelligent agents, generative AI, and digital twins with strong governance and explainability.
- Industry-Specific Solutions Tailored offerings for fraud detection, marketing, IoT, healthcare, finance, and more.
- Trusted Analytics Legacy Backed by decades of experience and a reputation for transparency, compliance, and reliability.
- Performance & Cost Efficiency Claims up to 30x faster model training and 86% lower cloud costs compared to alternatives.
- Strong Governance & Compliance Built-in tools for AI governance, model risk management, and responsible innovation.
- Enterprise-Oriented May be too complex or costly for small businesses or individual users.
- Learning Curve Advanced features like Agentic AI and quantum AI may require specialized expertise.
- Opaque Pricing No public pricing tiers—requires demo or quote request to evaluate cost.
- Heavy Ecosystem Integration and deployment may require alignment with SAS-specific tools and workflows.
SAS IML's Support Options
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