Altair SLC™
Analytics & Data Science Platform
Altair SLC (formerly known as WPS Analytics) has evolved into the industry's most robust alternative environment for running programs written in the SAS language. It allows organizations to maintain and run their existing intellectual property—thousands of SAS language programs—without the need for third-party products or high-cost licensing.
Beyond simple replacement, Altair SLC bridges the gap between legacy analytics and modern data science. It offers a compiler that runs SAS language syntax natively while seamlessly integrating with today's open-source languages like Python, R, and SQL. This unique ability enables data teams to mix and match languages within a single program, facilitating a smooth transition to modern architectures without disrupting critical business operations.
Capabilities
Seamless SAS Language Support
Altair SLC acts as a high-performance compiler that executes SAS language and macro syntax directly. It includes extensive procedure support for statistics, time series analytics, operational research, machine learning, and matrix manipulation. There is no need for code translation; your existing .sas programs simply run.
Multi-Language Integration
Modernize your analytics without abandoning your history. Altair SLC allows you to combine SAS language blocks with Python and R code in a single workflow. This interoperability enables legacy teams to collaborate with data scientists using modern open-source tools, all within a coherent, future-proof platform.
Flexible Deployment
Whether your data lives on a mainframe, in the cloud, or on a local server, Altair SLC adapts to your infrastructure. It supports deployment on:
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Mainframes (z/OS)
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Cloud Environments (AWS, Google Cloud, Azure)
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On-Premises Servers & Workstations
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Hybrid Architectures
Data Access & Connectivity
Altair SLC removes data silos by connecting to virtually any data source. It handles high-volume data fetching from:
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Hadoop and Data Warehouses
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Cloud Storage (S3, Blob)
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Relational Databases (Oracle, SQL Server, DB2)
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File formats including CSV, Excel, and SPSS.
Why Switch?
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Cost Efficiency: significantly lower licensing costs compared to traditional SAS environments.
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No Retraining: Your team can continue using the SAS language syntax they already know.
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High Performance: Optimized compiler ensures fast execution of data-heavy workloads.
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