Xplenty has executed about 500,000 Hadoop-facilitated data jobs across more than a petabyte of data all together since the company's U.S. rollout a few months ago. The startup provides tools to make enterprise Hadoop easier through a simple web-based drag-and-drop interface.
CEO Yaniv Mor suggests that Hadoop’s scale is creating personnel challenges, some businesses struggling to find the talent needed. Xplenty’s sell is making Hadoop easy with no coding, addressing a market whose growth is outpacing the growth of supply of data scientists.
Its multi-platform functionality allows users to import data from wherever it may be stored, then process and prepare it for analysis with BigQuery, Redshift, and more. The software both simplifies and speeds up data processing, the company says.
Xplenty is fully supported across Google Cloud Platform, Amazon Web Services, Rackspace, and IBM’s SoftLayer cloud.
The Tel Aviv-based enterprise Hadoop company raised a $3 million round in October, which it put toward establishing a U.S. presence, and, judging by this week's announcement, it is happy with the early results.
“The growth exceeded expectations (in such a short time frame), and I believe it was due to the maturity of the market accepting and using cloud services such as Xplenty to process and handle big data,” Mor said via email.
The closest competitors would be the Elastic MapReduce service by AWS and big data integration software provider Talend, which raised $40 million last year.
In term of some early lessons learned, Mor said customers want more and more connectivity to a wide range of data sources, so the company is working to provide additional connectors to enable as many data sources as possible.
