Detailed Platform Architecture

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….

Impetus at DataWorks Summit 2018: How a leading bank leveraged Apache Spark and StreamAnalytix to rapidly rebuild their insider threat detection application


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blog Feb 20, 2019

Bloor Research lists StreamAnalytix as a key challenger in their 2018 market update report on streaming analytics

“StreamAnalytix provides an excellent solution for streaming analytics that combines the strengths of open source with the reliability, manageability, and…

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