Includes updated third-party JAR files and open-source components like Apache ActiveMQ.
If you are an administrator planning an upgrade or fresh install, follow this roadmap:
However, the software doesn't stand still. Through a series of "maintenance releases" (M1, M2, M3...), SAS continuously adds features, security patches, and performance enhancements without changing the core version number. The latest and most advanced of these is (Maintenance Release 8).
/* To access */ libname secure "/my/folder" encrypt=yes encryptkey="my-secure-password"; sas 9.4m8
Hash object joins now run faster with large data.
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option was officially added to M8 in December 2023 to help manage log volume 3. Deployment and Infrastructure SAS 9.4 Maintenance 8 is available The latest and most advanced of these is
: 4.5/5
/* Encrypt a dataset with AES-256 */ proc datasets lib=work; modify mydata; encrypt / aes256 require; quit;
Moving to M8 from M7 or earlier requires a full deployment reinstall (no in-place upgrade). Key risks: This link or copies made by others cannot be deleted
Before downloading binaries, consult the SAS 9.4M8 Support Matrix.
SAS 9.4M8 represents the "Modernization of SAS 9." It is the best choice for organizations that are not yet ready to move fully to SAS Viya 4 (Viya on Kubernetes) but need modern features like OIDC, Docker support, and advanced analytics. It provides a stable, long-term support platform for traditional SAS programming while offering a bridge to cloud technologies.
) for the SAS Web Server and Infrastructure Platform, rather than bundling older internal versions. Cloud Connectivity : Added support for EC2 Instance Metadata Service version 2 (IMDSv2)
Data connectivity sees substantial performance optimizations in this maintenance release. SAS/ACCESS engines are updated to support the latest database protocols and cloud data warehouses:
The core SAS/STAT, SAS/ETS, and SAS/OR products receive minor optimizations and bug fixes designed to improve execution speeds and multi-threaded scaling on high-core-count servers. High-performance (HP) procedures see improved memory management when handling wide datasets with millions of columns. SAS Studio and User Interfaces