Run scalable predictive analytics on big data with in-database processing, real-time modeling, and reduced complexity across Hadoop and Spark
Overview
Predictive analytics made easier
IBM® SPSS® Analytic Server with SPSS Modeler allows you to run predictive analytics on big data from Hadoop and Spark. Move analytics closer to data, combine Hadoop and RDBMS sources, and apply real-time processing and machine learning to accelerate insights while reducing coding and simplifying analysis.
Features
Powerful Features for Scalable Analytics
Run predictive models directly where your data lives. SPSS Analytic Server pushes transformations and model building to Hadoop using Spark, reducing data movement and enabling faster, scalable analytics on large datasets.
Execute complex data operations directly in Hive, Impala, and BigSQL. SQL pushback improves data preparation performance by minimizing data transfer and leveraging existing database engines for efficient processing.
Support multiple users and workloads with scalable, multi-tenant deployment. SPSS Analytic Server combines SPSS and Spark algorithms to deliver flexible, enterprise-grade analytics across cloud and Hadoop environments.
Access and analyze data across modern ecosystems with enhanced connectivity, including Azure Databricks. SPSS Analytic Server broadens integration options, helping organizations unify data sources and accelerate analytics workflows.
Benefit from improved performance with Spark 3.5.4, fine-tuned configurations, and enhanced security. SPSS Analytic Server delivers faster processing, greater efficiency, and stronger protection for enterprise analytics workloads.
Accelerate model development with a drag-and-drop interface and automated model selection. SPSS Analytic Server integrates with R, Python, and Spark, enabling users of all skill levels to build and deploy models quickly.
Use cases
Predictive Analytics at Big Data Scale
Learn how SPSS Analytic Server enables scalable predictive modeling on big data. From in-cluster processing to advanced pattern analysis, it helps teams build accurate models and drive better business decisions.
Use SPSS Modeler with big data sources to build predictive models end to end. SPSS Analytic Server enables advanced analytics on large datasets without coding, accelerating insight generation.
Run data transformations and model building directly on Hadoop using Spark. SQL pushback on Hive, Impala, and BigSQL improves performance by processing data where it resides.
Deploy predictive analytics at scale across cloud and Hadoop environments. SPSS Analytic Server supports multiple users and workloads, enabling flexible, enterprise-ready model development and execution.
Improve decisions using classification, prediction, segmentation, association, and geospatial analytics. SPSS Analytic Server helps increase model accuracy and uncover meaningful patterns in complex data.
Resources
Get started with SPSS Analytics Server
Explore additional resources to get more value from SPSS Analytic Server. Dive into the SPSS Modeler overview to understand modeling capabilities, and review system requirements to ensure your environment is ready for deployment and performance at scale.
Learn more about the powerful SPSS Modeler predictive analytics platform for individuals, groups, systems and the enterprise.
See all software and hardware requirements for IBM SPSS Analytic Server 3.0.1.
Explore the full SPSS portfolio to see how integrated analytics tools can expand your capabilities.
Pricing
Learn about SPSS plans
Explore SPSS pricing to find the right plan for your needs. Compare available licenses, add-ons, and user options to scale your analytics capabilities and get the most value from your investment.