To help customers get the most out of our Cloud platform products, we work closely with technology companies such as Qubole who provide powerful complementary solutions integrated with our platform.
Mountain View, CA (PRWEB) December 13, 2013
Qubole, a leading provider of the next generation cloud Big Data platform, announced today the beta release of Qubole Data Service (QDS) on Google Compute Engine (GCE). QDS is the first fully elastic Hadoop engine to run on GCE. Qubole is extending Cloud platform support for GCE to a select number of invited customers through its ‘early adoption program’ with general availability expected in January 2014.
All of the benefits of QDS for preparing, integrating and exploring Big Data in the Cloud are now available on GCE including:
- Auto-scaling to automatically add or remove GCE compute resources based on actual usage
- Automated cluster provisioning and management
- Auto-healing to replace failed GCE instances
- Integration between QDS clusters and Google Cloud Storage
- Dozens of connectors to move data to and from GCE
- Super-fast loading of GCE nodes
The GCE Infrastructure as a Service greatly reduces the risk of deploying a Big Data as a Service solution such as QDS. Running on the same advanced technologies that power Google’s search engine, customers benefit from Google’s vast investments in redundant and reliable data center infrastructure.
The combination of GCE and QDS facilitates the most powerful and affordable Hadoop clusters running in the cloud. GCE’s amazingly fast virtual machine spin up, consistence performance for virtual machines and storage and by-the-minute billing, along with QDS’ rapid provisioning and efficient resource utilization deliver low-cost Big Data processing.
“To help customers get the most out of our Cloud platform products, we work closely with technology companies such as Qubole who provide powerful complementary solutions integrated with our platform,” said Allan Naim - Global Partner Lead, Google Compute Engine.
“Google File System and Google MapReduce inspired the development of Hadoop,” commented Shrikanth Shankar – VP Engineering at Qubole. “Now, we’re coming full circle with Hadoop available on GCE. We believe that this delivers one of the most solid foundations for cloud-based Big Data processing and are pleased that we can contribute to its performance, ease of use and low cost.”
Qubole is a leading Big Data as a Service provider. Ashish Thusoo and Joydeep Sen Sarma, creators of Facebook’s Big Data infrastructure and Apache Hive, founded Qubole to make it simple to prepare, integrate, and explore Big Data in the cloud.
Qubole’s Big Data as a Service Solution, Qubole Data Service (QDS), runs on the top performing elastic Hadoop engine on the cloud and includes a library of data connectors with a graphical user-interface for Hive, Pig, Ooze and Sqoop. QDS makes it easy to inspect data, author and execute queries, and convert queries into scheduled jobs. With QDS, the power of Big Data meets the simplicity of the cloud.
The largest brands in social media, online advertising, entertainment, gaming and other data-intensive ventures trust QDS to handle their most challenging Big Data requirements at a fraction of the cost of alternatives. Customers include Pinterest, Quora, MediaMath, Vocanic, Insightera, Vocanic, TubeMogul, Decide.com, BigCommerce and many others.
Are you interested in running Hadoop on Google Compute Engine? Apply for our beta program.
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