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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Leveraging continuous integration, delivery, and deployment(CI/CD) in StreamAnalytix

Continuous Integration and Delivery (CI/CD) is a set of automated SDLC practices and methods that enable frequent and error-free releases…

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blog Mar 09, 2020

Modernize your ETL processes with StreamAnalytix

Businesses are struggling with huge volumes of data to solve complex business problems while relying on their legacy data platform…

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