Hortonworks, Concurrent Team Up on Cascading SDK

Concurrent and Hortonworks are teaming up to streamline enterprise application development of data-centric applications. The strategic partnership was announced Tuesday.

Concurrent, an enterprise data application platform company, will integrate its Cascading SDK, a widely used application development framework for Hadoop-based data applications, with Hortonworks Data Platform. Hortonworks, a provider of enterprise-targeted Apache Hadoop, will certify, support and deliver Cascading.

Hortonworks said it will also guarantee the ongoing compatibility of Cascading-based applications with future releases of the Hortonworks Data Platform, through continuous testing for compatibility and direct customer support.

Apache Tez

Cascading, in a future release, is expected to support Apache Tez, which will allow projects to accommodate faster response times and near real-time data processing. Companies that are using Cascading, Lingual, Scalding, or other dynamic programming language APIs and frameworks will now have the ability to migrate to new releases of the data platform that support Apache Tez.

On its Web site, Hortonworks said Apache Tez allowed "projects in the Apache Hadoop ecosystem...to meet demands for fast response times and extreme throughput at petabyte scale."

John Kreisa, vice president of strategic marketing at Hortonworks, said in a statement that, "by expanding our alliance with Concurrent and integrating with the Cascading application platform, Hortonworks' customers can now drive even more value from their enterprise data by enabling the rapid development of data-driven applications."

Cascading is open-source software that is employed for the development and implementation of complex data processing workflows on Hadoop, thereby providing an abstracted and higher level control over MapReduce processing, which is the data processing backbone in Hadoop. It offers a computation engine, systems integration framework, data processing and scheduling. Concurrent's services include commercial support for Cascading, and Cascading was initially created by Chris Wensel, the Concurrent founder.

'A Must-Have'

Also open source, Apache Hadoop is a framework for processing large data sets. It...

Comments are closed.

Hortonworks, Concurrent Team Up on Cascading SDK

Concurrent and Hortonworks are teaming up to streamline enterprise application development of data-centric applications. The strategic partnership was announced Tuesday.

Concurrent, an enterprise data application platform company, will integrate its Cascading SDK, a widely used application development framework for Hadoop-based data applications, with Hortonworks Data Platform. Hortonworks, a provider of enterprise-targeted Apache Hadoop, will certify, support and deliver Cascading.

Hortonworks said it will also guarantee the ongoing compatibility of Cascading-based applications with future releases of the Hortonworks Data Platform, through continuous testing for compatibility and direct customer support.

Apache Tez

Cascading, in a future release, is expected to support Apache Tez, which will allow projects to accommodate faster response times and near real-time data processing. Companies that are using Cascading, Lingual, Scalding, or other dynamic programming language APIs and frameworks will now have the ability to migrate to new releases of the data platform that support Apache Tez.

On its Web site, Hortonworks said Apache Tez allowed "projects in the Apache Hadoop ecosystem...to meet demands for fast response times and extreme throughput at petabyte scale."

John Kreisa, vice president of strategic marketing at Hortonworks, said in a statement that, "by expanding our alliance with Concurrent and integrating with the Cascading application platform, Hortonworks' customers can now drive even more value from their enterprise data by enabling the rapid development of data-driven applications."

Cascading is open-source software that is employed for the development and implementation of complex data processing workflows on Hadoop, thereby providing an abstracted and higher level control over MapReduce processing, which is the data processing backbone in Hadoop. It offers a computation engine, systems integration framework, data processing and scheduling. Concurrent's services include commercial support for Cascading, and Cascading was initially created by Chris Wensel, the Concurrent founder.

'A Must-Have'

Also open source, Apache Hadoop is a framework for processing large data sets. It...

Comments are closed.