Xplenty, a startup that sells an easy-to-use cloud-based version of the Hadoop open-source big data software, has brought its service to the burgeoning Google Cloud Platform.
Xplenty charges as little as $99 per month for the software when it runs on the Google public cloud. The software comes with a user interface and a couple of hours of training by an expert.
[aditude-amp id="flyingcarpet" targeting='{"env":"staging","page_type":"article","post_id":1600167,"post_type":"exclusive","post_chan":"none","tags":null,"ai":false,"category":"none","all_categories":"big-data,business,cloud,dev,enterprise,","session":"A"}']The software also runs on Amazon Web Services, IBM SoftLayer, and Rackspace, with prices varying for each cloud.
The announcements gives Google cloud customers a new way to work with lots of different kinds of data but avoid the complexity of setting up the open-source Hadoop software on their own. Google itself recently announced a new service called Cloud Dataflow to handle batch and stream-processing jobs, but it’s not yet available.
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When deployed on the Google Cloud Platform, Xplenty can users can run Hadoop jobs on data sitting in Google’s BigQuery storage service. Xplenty specializes in doing extract-transform-load work, a typically time-consuming step to clean data before a data scientist can build models and derive insights.
Xplenty started in 2012 and has offices in San Francisco in Tel Aviv. The startup announced a $3 million funding round last month. It competes with Hadoop-as-a-service startups like Altiscale and Qubole, among others.
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