SAN FRANCISCO, CA--(Marketwired - Dec 4, 2013) - Concurrent, Inc., the enterprise Big Data application platform company, and Qubole, a provider of the next-generation cloud Big Data platform, today announced a partnership to allow Cascading users to easily deploy Big Data applications at scale on an elastic, cost-effective cloud platform. The partnership combines the power of Cascading, the most widely used and deployed application framework for building robust enterprise Big Data applications, with Qubole Data Service (QDS), a Big Data as a Service solution providing a fast and scalable infrastructure in the cloud.
With more than 110,000 downloads a month, Cascading has become the enterprise development framework of choice for processing data sets on Apache Hadoop™. Cascading simplifies programming, workflow and data processing, allowing enterprises to cut time to production by 50 percent. As a result, enterprises can more easily execute on their Big Data strategies by leveraging existing skillsets, systems and tools -- all while reducing the overall complexity of their technology infrastructure. Moreover, Cascading is compatible with most Hadoop distributions to prevent infrastructure lock-in.
QDS is a turnkey Big Data as a Service solution for Big Data teams, running on the top-performing elastic Hadoop engine in the cloud. QDS helps enterprise customers get to value quickly by removing key obstacles associated with building a Hadoop data cluster. With QDS, the power of Big Data meets the simplicity of the cloud.
The combination of Concurrent's Cascading framework and Qubole's QDS platform simplifies Big Data application development, data processing and exploration. Cascading users benefit from all the features and optimizations of QDS, including access to tables created in QDS and the ability to build custom SQL queries.
"With an unparalleled understanding of the cloud, Qubole is addressing today's challenges of storing and managing data to create a fast, easy and reliable path to turning Big Data into business insight. Because of the incredible popularity of Cascading, it made sense for us to partner with Concurrent. Together, Cascading and Qubole enhance developer productivity and provide operational value by helping customers build Big Data applications and derive insights without Hadoop expertise."
-Ashish Thusoo, CEO of Qubole
"Our customers are looking for a Big Data platform that is cost effective and that can scale dynamically to meet their needs. Working together, Qubole and Concurrent can offer enterprises a cost-effective and comprehensive solution with best-in-class capabilities to drive business differentiation through data."
-Gary Nakamura, CEO of Concurrent, Inc.
About Concurrent, Inc.
Concurrent, Inc. is the enterprise Big Data application platform company. Founded in 2008, Concurrent simplifies Big Data application development, deployment and management on Apache Hadoop. We are the company behind Cascading, the most widely used and deployed technology for building Big Data applications with more than 110,000 user downloads a month. Enterprises including Twitter, eBay, The Climate Corporation, Square and Etsy all rely on Concurrent's technology to drive their Big Data deployments. Concurrent is headquartered in San Francisco. Visit Concurrent online at http://concurrentinc.com.
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. 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, BigCommerce and many others.