What is Streaming Analytics?

IBM Streaming Analytics enables you to analyze streaming and stored data of all kinds including unstructured text, audio, video, sensor and geospatial. Organizations are able to understand specific events and trends in real time, and act upon these insights in time to improve outcomes.​

 

​Read the Forrester Study: The Total Economic Impact™ Of IBM Streams (PDF, 759 KB)

Streaming Analytics features

Development support

Rich Eclipse-based, visual IDE lets solution architects visually build applications or use familiar programming languages like Java, Scala or Python.

Rich data connections

Data engineers can connect with virtually any data source whether structured, unstructured or streaming, and integrate with Hadoop, Spark and other data infrastructures.

Analysis and visualization

Integrate with business solutions. Built-in domain analytics like machine learning, natural language, spatial-temporal, text, acoustic, and more, to create adaptive streams applications.

Streaming Analytics versions

Streaming Analytics on IBM Cloud

Streaming Analytics on IBM Cloud offers most of the features of IBM Streams on an agile, cloud-based platform.

Streams for IBM Cloud Private for Data

IBM Streams for IBM Cloud Private for Data delivers a platform for combining streaming and stored data with AI to build solutions that impact business decisions in real time.

IBM Streams

IBM Streams delivers a programming language and IDE for applications, a runtime system and analytic toolkits to speed development.

Customer success stories

Get started on Streaming Analytics in minutes

Streaming Analytics on IBM Cloud offers most of the features of IBM Streams on an agile, cloud-based platform.