Xplenty Launches Google Cloud Platform Support

xplenty-logoXplenty, the big data processing platform powered by Hadoop, has announced Google Cloud Platform support. By enabling Google Cloud Platform support, Xplenty users can now integrate, process, and prepare data for analytics directly on Google’s cloud infrastructure. Xplenty is one of the only Hadoop-run platforms to facilitate third-party Google Cloud Platform support.

With big data needs escalating, Google Cloud Platform has quickly become one of the most attractive options for storing, processing, and analyzing big data,” said Yaniv Mor, CEO and co-founder of Xplenty. “We are excited to be able to support it and give our customers the option to process their data with Xplenty.”

Xplenty allows organizations to integrate, process, and prepare data for analytics both on the cloud and on-premise, without any Hadoop expertise or background writing code. By providing Hadoop processing in a coding and jargon-free environment, Xplenty ensures businesses can quickly and easily benefit from the opportunities offered by big data without having to invest in hardware, software, or related personnel.

In provisioning Google functionality, Xplenty has also enabled Google BigQuery support, with Xplenty being used to prepare enormous amounts of data for analysis using Google’s highly scalable, cloud-based analytics service. Xplenty has also facilitated integration with Google Cloud Storage and Google Cloud SQL, making it possible to import and export data to and from each. With the added Google Cloud Storage and Cloud SQL support, Xplenty can now integrate with almost any relational or non-relational database, making it one of the most flexible and adaptive Hadoop-driven data processing platforms available on the market.

Beyond its broad database integration capabilities to simplify cluster set up and data processing, Xplenty is now fully supported across Google Cloud Platform, Amazon (AWS), Rackspace, and IBM’s SoftLayer. This multi-platform functionality enhances Xplenty’s data flexibility, allowing users to import data from wherever it may be stored, then process and prepare it for analysis with Google BigQuery, Amazon Redshift, and more.

Our differentiator will always be ease of use,” added Mor. “Through multi-platform support, we offer customers ultimate flexibility and a truly customizable solution that meets their needs and preferences.”

Xplenty users do not need to know how to use Hadoop to use the platform, making data processing accessible for everyone in an organization. Taking the complexity out of Hadoop, allowing businesses to implement it easily, has grown increasingly important. The global Hadoop market will grow 58 percent over the next six years, with companies poised to invest more than $50 billion in Hadoop during that time. However, in conjunction with Hadoop adoption, the U.S. will face a peak shortage of data scientists by 2018, making it especially challenging to build expert data teams to manage Hadoop initiatives in-house. Xplenty is seeking to solve these problems.

 

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