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Product News : DataTorrent Open Sources DataTorrent RTS
on 2015/6/9 6:00:08 (672 reads)
Product News

DataTorrent, the leader in real-time big data analytics and creator of the world's only enterprise-grade unified stream and batch processing platform, has announced it will be making the DataTorrent RTS core engine available under the Apache 2.0 license. In addition to the open source announcement, DataTorrent also announced the release of DataTorrent RTS 3, aimed at continuing to enable successful enterprise adoption of big data solutions and Hadoop. The new release of DataTorrent RTS 3 addresses current challenges such as ease of use and demonstrating business values with no-coding required GUI application assembly, self-service real-time and historical data visualization and a simple to use data ingestion and distribution application for Hadoop. Released as Project Apex, the open-source DataTorrent RTS core engine forms the foundation of DataTorrent RTS 3, now available in three editions -- Community Edition, Standard Edition and Enterprise Edition.

Project Apex delivers enterprise-grade platform, spurs innovation

 

In response to broad customer demand, DataTorrent is making the DataTorrent RTS core engine available as open source Project Apex. Project Apex is Apache 2.0 licensed and addresses enterprise fault-tolerance, performance, scalability and ease-of-use requirements for unified stream and batch processing not being met by existing open source projects.

"At Silver Spring, we deploy and operate some of the largest, most data-intensive networks on earth, connecting more than 20 million Internet of Things devices on five continents," said Jeremy Johnson, director of product management, Silver Spring Networks. "It is critical that we are able to deliver real-time data from these massive-scale sensor networks to fuel the next generation of smart energy and smart city applications. DataTorrent RTS is an integral component of our SilverLink™ Sensor Network solution, and together, we look forward to inspiring a legion of new developers to create even more powerful big data applications."

DataTorrent RTS 3 simplifies and speeds up big data app deployments
Organizations have been facing challenges getting their batch and streaming big data applications into production. In fact, according to a Gartner Survey1, "Skills gaps continue to be a major adoption inhibitor for 57% of respondents, while deciding how to get value from Hadoop was cited by 49% of respondents." DataTorrent RTS 3 provides new features, tools and applications to enable easy creation and assembly of production-ready big data applications.
* Simple, graphical application assembly - Data scientists and developers can now create big data applications without writing code. They simply assemble a data flow using a drag-n-drop-n-launch GUI.
* Self-service real-time and historical visualization - Business users and data scientists can accelerate time to insight and take business action. Browser-based, RBAC-enabled intuitive, self-service data visualization allows for the creation of custom dashboards in minutes.
* Scalable, fault-tolerant data ingestion for Hadoop application - Big data projects often stall due to difficulties ingesting data whether at rest and in motion. The application provides a graphical interface to ingest from multiple sources in a secure, high-performing, fault tolerant manner.
* Enterprise integration and analytics pack - Time-to-value is decreased using advanced pre-built connectors for the most popular technologies and pre-built JAVA business logic for analytical applications like dimensional analysis and transformations like de-duplication.
* Production and operability enhancements - Data center operations teams need to ensure that their business crucial big data applications are operable across multiple data centers and generations of applications.

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