IBM Integrated Analytics System
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IBM Integrated Analytics System



PitchIBM® Integrated Analytics System drives the insights needed to maintain your competitiveness. It matches accelerated development and deployment times for your data scientists with a high performance, optimized and cloud-ready data platform.

Product features


High-performance analytics Easy to manage, with minimal administration. Provides a high-performance, massively parallel system that enables you to perform analytics on large data volumes. Connects data scientists to the data Includes IBM Data Science Experience, which enables you to collaboratively analyze data. Or you can use existing Jupyter Notebooks and bring data scientists to your organization’s data. Machine learning Enables you to train, persist and score machine learning models on the system where the data resides to increase performance. Data interoperability Uses data virtualization to support shared components, skills and capabilities, and connect to any type of data in any location. Cloud-ready Provides a common SQL engine. Seamlessly migrates workloads to the cloud based on your requirements, without the need for application rewrites. Key features
  • Built-in tools for data scientists
  • Embedded Spark processing with machine learning
  • Common SQL engine
  • Cloud-ready with scalable deployment
  • High-speed architecture
  • Easy to manage and maintain

Problems that the product solves

Aging IT infrastructure

High costs of routine operations

Low bandwidth data channels


Reduce Costs

Ensure Security and Business Continuity

Reduce Production Timelines

Support Decision Making

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