Application Lifecycle

Rapidly build and operationalize applications using a powerful and intuitive visual interface. Supports the entire application delivery lifecycle; design, build and test, deploy and manage

Rapid Application Development

Use pre-integrated drag-and-drop operators and a visual pipeline designer to create, configure, and administer complex real-time and batch data pipelines in minutes.

Make run-time changes easily.

Debug

Trace and debug messages at each step, from entry to exit, during both the development phase of your pipelines as well in production.

 

Debug

Trace and debug messages at each step, from entry to exit, during both the development phase of your pipelines as well in production.

 

One-Click deployment – On-premise or in The Cloud

Use one-click deployment options to deploy applications on-premise or on a public cloud.

Powerful Application Diagnostic Tools

Get an end-to-end view of data transformation before and after the use of every individual operator; use data inspect feature during development, and data
lineage for your production-deployed pipelines.

 

Powerful Application Diagnostic Tools

Get an end-to-end view of data transformation before and after the use of every individual operator; use data inspect feature during development, and data
lineage for your production-deployed pipelines.

 

Versioning

Create and save new versions of your data pipelines, and roll back changes conveniently by reverting to an older version.

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Resources

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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 Dec 13, 2018

How modern data science is transforming anomaly detection

Real-time anomaly detection has applications across industries. Detecting anomalous patterns in real-time is helping businesses derive actionable insights in multiple…

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