Basho Data Platform Integrates Riak With Apache Spark, Redis And Apache Solr

Basho Technologies today announced the release of the Basho Data Platform, an integrated Big Data platform that enhances the ability of customers to build applications that leverage Basho’s Riak KV (formerly Riak) and Riak S2 (formerly Riak CS). By integrating Riak KV, Riak, Apache Spark, Redis and Apache Solr, the Basho Data Platform enhances the ability of customers to create high performing applications that deliver real-time analytics. The platform’s integration with Redis cache allows users to leverage the capability of Redis to improve the read performance of applications. The platform also boasts an integration with Apache Solr that builds upon the ability of Riak to support searches powered by Apache Solr. Moreover, the Basho Data Platform supports the replication and synchronization of data across its different components in ways that ensure continued access to applications and relevant data. The graphic below illustrates the different components of the Basho Data Platform:

The Basho Data Platform responds to a need in the marketplace to complement high performance NoSQL databases such as Riak with analytics and caching technologies such as Apache Spark and Redis, respectively. The platform’s cluster management and orchestration functionality absolves customers of the need to use Apache Zookeeper for cluster synchronization and cluster management. By automating provisioning and orchestration and delivering Redis-based caching functionality in conjunction with Apache Spark, the platform empowers customers to create high performance applications capable of scaling to manage the operational needs of massive datasets. Today’s announcement marks the release of an integrated platform that stands poised to significantly augment the ease with which customers can build Riak-based Big Data applications. Notably, the platform’s ability to orchestrate and automate the interplay between its different components means that developers can focus on taking advantage of the functionality of Apache Spark and Redis alongside Riak KV and Riak S2 without becoming mired in the complexities of provisioning, cluster synchronization and cluster management. As such, the platform’s out of the box integration of its constituent components represents a watershed moment in the evolution of Riak KV and Riak S2 and the NoSQL space more generally as well.

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