Real-time Streaming Analytics Platform - StreamAnalytix Architecture

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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Build a high-performing data ecosystem for ETL, ML, and BI — Accelerated and Unified

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blog Jul 20, 2020

StreamAnalytix 4.4.0 release – Powerful enhancements for ETL workload transformation, CDC, Google Cloud support, and more

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