Altair SLC
Analytics platforms
Predictive analytics software
Statistical analysis software
Data science and machine learning platforms
MLOps platforms
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What is Altair SLC
Altair SLC is a statistical programming environment designed for running SAS language code and producing analytical outputs for reporting and modeling. It targets analysts and statisticians who need SAS-compatible batch processing, data preparation, and statistical procedures in regulated or enterprise settings. The product focuses on SAS language execution with integration options for external databases and common data formats, positioning it as an alternative runtime for SAS-style analytics rather than a general-purpose BI or visualization-first platform.
SAS language compatibility focus
Altair SLC is built to execute a large subset of SAS language programs, which supports reuse of existing SAS codebases and skills. This can reduce rework when organizations standardize on SAS-style workflows for data prep and statistical procedures. It fits teams that rely on batch jobs and repeatable production runs rather than interactive dashboard-centric analysis.
Enterprise batch processing workflows
The product supports scheduled and automated execution patterns that align with enterprise reporting and recurring analytics pipelines. This is useful for standardized outputs such as tables, listings, and model runs that must be reproduced consistently. It can be deployed in controlled environments where change management and repeatability matter.
Data access and integration options
Altair SLC is designed to connect to external data sources and work with common enterprise data storage patterns, enabling analytics close to governed data. This helps teams avoid exporting large datasets into desktop tools for processing. It also supports integration into broader analytics ecosystems via files, databases, and scripted execution.
Not a full BI platform
Altair SLC is primarily a statistical programming/runtime product and does not center on self-service BI exploration, semantic modeling, or governed dashboard distribution. Organizations seeking interactive visual analytics and broad business-user adoption typically need complementary BI tooling. This can increase overall platform complexity when both statistical and BI needs exist.
Limited end-to-end ML lifecycle
While it can support modeling workflows through code, it is not primarily positioned as an end-to-end data science and machine learning platform with integrated experiment tracking, model registry, and deployment orchestration. Teams implementing modern MLOps practices may need additional tools for CI/CD, monitoring, and model governance. This can create gaps for production ML beyond traditional statistical pipelines.
SAS-style workflow constraints
The SAS language paradigm can be less flexible than modern notebook- and package-driven ecosystems for some data science use cases. Hiring and collaboration may be harder if teams prefer Python/R-first workflows and open-source ML libraries. Migration from SAS-style code to other ecosystems is non-trivial if future strategy shifts.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Standard Edition | Annual subscription — Request a quote (contact sales) | Licensed to consumers and businesses; supports workstation/server/mainframe/cloud deployments; GA and EA access; maintenance and indemnities/warranties included; technical support and SLC Hub integration (see compare chart). |
| Academic Edition | Free (academic year) | Licensed to schools, universities, students and researchers for course instruction, project-based learning, and research; applies for the academic year; includes GA access and maintenance. |
| Personal Edition (Community/Personal) | Free (annual license renewed with each GA release) | Named-user workstation edition available to everyone (including commercial use); most features enabled except multi-user/client-server capabilities; license valid for one year and renewed with each major GA release; support via Altair Community; instant download available. |
Seller details
Altair Engineering Inc.
Troy, Michigan, USA
1985
Public
https://www.altair.com/
https://x.com/altair
https://www.linkedin.com/company/altair-engineering/
