Concurrent has announced general availability of Cascading 3.0, a platform for building and deploying enterprise applications on Hadoop.
“This new, available version of Cascading will enable our users even further by simplifying application development, accelerating time to market and allowing enterprises to leverage existing, and more importantly, new and emerging data infrastructure and programming skills,” said Chris Wensel, founder and CTO, Concurrent, Inc.
With Cascading 3.0, users will have portability across programming languages (Java, SQL, Scala), Hadoop distributions (Cloudera, Hortonworks, MapR), and now compute fabrics. Native support for Apache Tez is the first to be supported, with others to be quickly added.
The solution allows enterprises to build data applications once, and run applications on the compute fabric that best meets their business needs.
Supporting local In-memory, MapReduce and Apache Tez, Cascading 3.0 will deliver a flexible runtime layer for new computation fabrics to integrate and adhere to the semantics of a given compute engine, such as MapReduce or any DAG-like model through its pluggable query planner.
Additionally, the new release will provide benefits through portability to third-party products, data applications, frameworks, and dynamic programming languages built on Cascading.
Cascading 3.0 will support compatibility with all major Hadoop vendors and service providers, including Altiscale, Amazon EMR, Cloudera, Hortonworks , MapR, and Qubole, among others, and is available for free now along with a subscription based model for enterprise use.
For more information about the release, click here.