Detailed Platform Architecture

StreamAnalytix workflows can be executed on cloud or in-premise infrastructures.

StreamAnalytix integrates a comprehensive set of big data technologies to enable continuous analysis of data in motion and at rest across all stages of data processing, such as: data ingestion, data preparation, analytics, machine learning, data visualization, actions and alerts, and data sinks. And, offers an integrated development environment (IDE) that supports the entire application delivery lifecycle: design, build, test, deploy, and monitor.

Pre-integrated Drag and Drop Operators

Use a drag-and-drop visual interface which provides abstraction over a mix of complex big data technologies . Operators include an array of data sources, processors, advanced analytics and machine learning algorithms, and emitters.

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StreamAnalytix Platform Overview

StreamAnalytix™ enables enterprises to analyse and respond to events in real-time at big data scale using stream processing and machine learning….

Operationalize Machine Learning at Scale with StreamAnalytix

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blog Aug 07, 2019

Boosting customer experience with real-time streaming analytics in the travel industry

A large US-based airline use case A recent study by Harvard Business Review revealed that 60% of enterprise business leaders…

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