IBM SPSS Statistics Server

Improve performance, security and analytic access in enterprise deployments

  • Overview
  • Features and Benefits
  • System Requirements

IBM® SPSS® Statistics Server offers the features of SPSS Statistics with faster performance. It can scale from handling the analytical jobs of a single department to jobs for hundreds and even thousands of users across an organization. Processing is centralized, so there is no need to transfer data over the network. This saves time, improves productivity and enhances security.

SPSS Statistics Server speeds processing and—with the automation and scheduling capabilities of IBM SPSS Collaboration and Deployment Services—provides efficient delivery of analytical results while maximizing your IT investment.

  • Gain fast analytical performance for large data sets throughout your distributed enterprise.
  • Sort and aggregate data inside the database prior to analysis using algorithms and multithreading.
  • Handle administrative functions more efficiently with advanced tools and features, and take advantage of support for other vendor-sorting applications.
  • Protect sensitive data and intellectual property using security and standardization features.

See What’s New in IBM SPSS Statistics Server 19

Gain fast analytical performance

  • Improve productivity by freeing up desktop software while analytical tasks are performed on the server.
  • Analyze massive datasets faster using 64-bit server grade hardware.
  • Run multiple jobs from a single desktop without compromising desktop performance.
  • Generate interactive and editable output tables up to five times faster.
  • Automate and schedule repeated tasks including reports, data preparation and other batch jobs.
  • Drive the SPSS Statistics analytical engine from an external application and implement extension commands in Java.

Sort and aggregate data inside the database prior to analysis

  • Use the Naïve Bayes algorithm to predict classification of cases by treating each variable as independent and equal.
  • Filter large amounts of irrelevant data to obtain only features relevant for modeling using the predictor selection algorithm.
  • Take advantage of optimized multithreading to perform analytical tasks with greater speed and ease.
  • Compare files or data sets to identify discrepancies between them.

Handle administrative functions more efficiently

  • Provide administration rights to users, and use batch-processing capabilities for efficient use of processing resources.
  • Assign priorities so that resources are reserved for high-priority users.
  • Connect outside your company firewall using SSL or connect via VPN.
  • Disconnect the SPSS Statistics client from the network when running server jobs and work uninterrupted without compromising the successful completion of analysis or output.
  • Compress temporary files created by the sort procedure within SPSS Statistics Server to save disk space.

Improve security and standardization

  • Encrypt the communication between a client and a server.
  • Enable password protection for data files and output.
  • Store data centrally instead of on a local desktop where it could be compromised more easily.
  • Enforce standards to ensure that all analysts are using the latest versions of a syntax or data file.

 


Operating systems supported:

  • Microsoft Windows 2008 and 2003 (32- and 64-bit)
  • Sun Solaris 64-bit support (SPARC 64-bit machine) on Solaris 9 and 10
  • IBM AIX 6.1 and 7.1, 64-bit only (PowerPC)
  • HP/UX 11i v3 IA64
  • Red Hat Enterprise Linux (RHEL) 5 Server, Advanced Platform (x86-64, System z); Red Hat Enterprise Linux (RHEL) Server 6 (x86-64, System z)
  • SUSE Linux Enterprise Server (SLES) 10, 11 (x86-64, System z)

Hardware:

  • Processors:
    • for Windows and Red Hat Linux – 32-bit x86; 64-bit – EM64T and AMD64
    • for Solaris – UltraSPARC 2 for Solaris
    • for AIX – IBM RS/6000 for AIX®, PowerPC 233 MHz or better
    • for HP/UK – Itanium® processor
    • for SUSE Linux for System z -- IBM System z10 ™, IBM System z10 Enterprise Class, IBM System z10™ Business Class
  • Memory: 4 GB RAM or more recommended; 8 GB required for SUSE Linux for System z
  • Free drive space: 500 MB for installation. Additional space is required to run the program (for temporary files); on System z, 20 GB required

Other:

  • For Windows, Solaris, and HP machines: A network adapter running the TCP/IP network protocol
  • For System z machines: OSA-Express3 10 Gigabit Ethernet, OSA-Express3 Gigabit Ethernet, OSA-Express3 1000BASE-T Ethernet