We expect continued increases in the data volumes we process for our customers.
Palo Alto, CA (PRWEB) August 08, 2013
Qubole™, a provider of the next generation Cloud Big Data platform, reveals that it has processed more than a petabyte of data for over 50 customers in July. Using Qubole Data Service (QDS), customers enjoy the ability to manage a single-node cluster or a cluster with hundreds of nodes with the same ease of use.
To meet its customers' Big Data volume requirements, Qubole launched more than 100,000 nodes to support more than 350,000 jobs in July. BigCommerce, MediaMath, YD World, TubeMogul, and many other data-driven companies turn to Qubole to extract insight from their high volume, variety and velocity of data in a simple and cost-effective way.
Qubole CEO Ashish Thusoo comments, “We’re seeing tremendous growth in our customer base as well as customer usage of QDS, our Software as a Service (SaaS) platform running on the top performing elastic Hadoop engine. With industry forecasts estimating an increase in data of 35% to 50% each year, every year, we expect continued increases in the data volumes we process for our customers.”
Sivaramakrishnan Narayanan, a key member of Qubole’s technical staff, explains that QDS provides a fast and scalable infrastructure on the cloud to keep up with ever-growing data volumes. “Our Hadoop engine makes full use of daemons to optimize resource allocation, distribution and management. QDS makes it possible to launch a large Hadoop cluster in just a couple of minutes and offers blazing-fast table loading and query performance.”
Qubole provides a managed Big Data service that makes it simple to prepare, integrate and explore Big Data in the cloud. Founded by the creators of Apache Hive and former managers of Facebook’s data infrastructure team, Qubole is trusted by the largest brands in social media, online advertising, gaming and other data-intensive companies such as Pinterest, Quora, MediaMath and TubeMogul.
Qubole’s flagship solution, Qubole Data Service (QDS), runs on a fast, auto-scaling Hadoop cluster with built-in data connectors and a graphical user-interface for Hive, Pig, Oozie and Sqoop. QDS makes it easy to inspect data, author and execute queries, and convert queries into scheduled jobs.