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What is Streaming Analytics?
IBM Stream Computing analyzes a broad range of streaming data–unstructured text, video, audio, geospatial, sensor–helping organizations spot opportunities and risks and make decisions in real-time.
Streaming Analytics features
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.
IBM Streams delivers a programming language and IDE for applications, a runtime system and analytic toolkits to speed development
Streaming Analytics on IBM Cloud
Streaming Analytics on IBM Cloud offers most of the features of IBM Streams on an agile, cloud-based platform.
Watson data platform
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Streaming Analytics on IBM Cloud offers most of the features of IBM Streams on an agile, cloud-based platform