Qubole, the big data-as-a-service company founded by the team that developed Facebook’s data infrastructure, Tuesday reported rapid adoption of the Qubole Data Service (QDS) last year, with the amount of data processed on its platform soaring to well over a half an Exabyte last year compared to the year prior. Qubole Data Service is a self-service platform for big data analytics that runs on the three major public clouds: Amazon AWS, Google Compute Engine and Microsoft Azure.
Qubole claims that QDS has processed 519 petabytes of data (the equivalent of more than 100 million full-length HD movies) in 2014, up from 34 petabytes in 2013. Qubole said that clients conducted more than 40.6 million compute hours on QDS in 2014. The average monthly compute hours grew nearly 350% to 5.7 million per month, while the number of individual active users on QDS grew 250% through the course of the year. The company said that its recent customer wins include DataLogix, Universal Music Group, Motion Picture Association of America and many others.
According to Qubole, among its key advantages, QDS automatically sets up and scales up a cluster to match the needs of the particular job, and then winds down nodes when they’re no longer needed. The QDS platform includes everything as a service, including Hive, Presto, MapReduce, Pig, Oozie and Sqoop.
Ashish Thusoo, co-founder and CEO of Qubole
2014 was a simply stunning year for the company. We saw growth both in new customer adoption as well as in expanded use within existing customers. While more companies are discovering the power of big data analytics, a great majority report hitting the wall in the cost and complexity of bare metal build of Hadoop and Spark in-house. That is the point at which many have been finding Qubole. With a turnkey big data solution provided on a choice of public clouds, we can get developers, data analysts, data scientists or other data users going immediately, complete with security features, an easy to use UI and built in data governance.
