Rapidly Build and Run Data Analytics and Spark Applications - StreamAnalytix

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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Ten must-haves for a powerful enterprise data science solution

Data science solutions enable enterprises to explore their data, develop machine learning (ML) models, and operationalize them to drive business outcomes.

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blog Dec 07, 2020

Essentials for an enterprise data science solution

Data science solutions enable enterprises to explore their data, develop machine learning (ML) models, and operationalize them to drive business outcomes.

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