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.
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.
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.