IBM Analytics

IBM Streams

Capture and analyze data in motion

Supports analysis of continuous data including text, images, audio, voice, video, web traffic, email, GPS data, financial transactions, satellite data and sensor logs.
IBM Streams

IBM Streams is an advanced analytic platform that allows user-developed applications to quickly ingest, analyze and correlate information as it arrives from thousands of data stream sources. IBM Streams can handle very high data throughput rates, up to millions of events or messages per second.

IBM Streams V4.2.1 delivers new capabilities to simplify development and management:

  • Translation of Streams Installation, Streams Console, and Streams Studio into French, German, Spanish, Italian, Russian, Brazilian Portuguese, Traditional Chinese, Simplified Chinese, Korean, and Japanese
  • Ability to create Streams applications using Python with notebooks like Jupyter or with IBM Data Science Experience, then deploy to the cloud to compile and deploy to IBM Streaming Analytics for Bluemix. This new capability enables complete cloud development in Python, replacing the previous requirement to have Streams Developer Edition or Streams Quick Start Edition installed locally on the developer’s machine.
  • Supports analysis of continuous data including text, images, audio, voice, video, web traffic, email, GPS data, financial transactions, satellite data and sensor logs.
  • Includes toolkits and accelerators for advanced analytics, including a telco event data accelerator that analyzes large volumes of streaming data from telecommunications systems in near real time and a social data accelerator for analyzing social media data.
  • Distributes portions of programs over one or more nodes of the runtime computing cluster to help achieve volumes in the millions of messages per second with velocities of under a millisecond.
  • Allows you to filter and extract only relevant data from unimportant volumes of information to help reduce data storage costs.
  • Scales from a single server to thousands of computer nodes based on data volumes or analytics complexity.
  • Provides security features and confidentiality for shared information.
  • Allows you to build applications with drag operators, and dynamically add new views to running applications using data visualization capabilites such as charts and graphs.
  • Enables you to create, edit, visualize, test, debug and run Streams Processing Language (SPL) applications.
  • Provides composites capability to increase application modularity and support large or distributed application development teams.
  • Allows you to nest and aggregate data types within a single stream definition.
  • Enables applications to be built on a development cluster and moved into production without recompiling.
  • Adapts to rapidly changing data forms and types.
  • Allows you to quickly develop new applications that can be mapped to a variety of hardware configurations.
  • Supports reuse of existing Java or C++ code, as well as Predictive Model Markup Language (PMML) models.
  • Includes a limited license for IBM BigInsights, a Hadoop-based offering for analyzing large volumes of unstructured data at rest.
  • Integrates with IBM DB2, IBM Informix, IBM PureData System Oracle, Microsoft SQLServer and MySQL, and more.


IBM Streams

Fighting Diabetes with Analytics


Solving “Impossible” with IBM Streams


Finding Actionable Insights with IBM Streams


Enabling Streaming Analysis of Operational Data at Greater Speed


IBM & University of Alberta predicting environmental changes


Clemetric – Harnessing near real-time data


Video: Emory Hospital


University College Cork improves outcomes with IBM Streams

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