SAN FRANCISCO, CA--(Marketwire - Feb 20, 2013) - Concurrent, Inc., the enterprise Big Data application platform company, today announced Lingual, an open source project enabling fast and simple Big Data application development on Apache Hadoop™. Leveraging the power and broad platform support of the Cascading application framework, Lingual lowers the barrier to enterprise Hadoop adoption by allowing SQL users to utilize existing skills to instantly create and run Big Data applications on Hadoop, without any new training or having to think in MapReduce.
Enterprises today are rapidly adopting Hadoop to deal with growing volumes of both unstructured and semi-structured data. However, the need for Hadoop to easily integrate with existing data management systems creates a real barrier to unlocking the full potential of Big Data and Hadoop.
Enter Lingual: True SQL for Cascading and Hadoop
With Lingual, companies can now leverage existing skill sets and product investments by carrying them over to Hadoop via a standards-based technology. Analysts and developers, familiar with SQL, JDBC or traditional BI tools, can now instantly and easily create and run Big Data applications on Hadoop, while gaining significant productivity and time-to-market benefits. Lingual presents a true ANSI-standard SQL interface and is compatible with all major Hadoop distributions whether on-premise or in the cloud. Lingual use-case examples include:
- Data analysts, scientists and developers can now simply 'cut and paste' existing ANSI SQL code from traditional data warehouses and instantly access data locked on a Hadoop cluster.
- Developers can use a standard Java JDBC interface to create new Hadoop applications, or use any of the Cascading APIs and languages, such as Scalding and Cascalog.
- Being ANSI-standard compliant, companies can now query and export data from Hadoop directly into traditional BI tools.
Lingual runs on Cascading, the most widely used and deployed application framework for building robust, enterprise Big Data applications on Hadoop. Recognized companies, including The Climate Corporation, eBay, Etsy, FlightCaster, iCrossing, Razorfish, Trulia, TeleNav and Twitter are using Cascading to streamline data processing, data filtering and workflow optimization for large volumes of unstructured and semi-structured data. Cascading is also at the core of popular language extensions including PyCascading (Python + Cascading), Scalding (Scala + Cascading) and Cascalog (Clojure + Cascading) -- open source projects sponsored by Twitter. Cascading has become the most reliable and repeatable way of building and deploying Big Data applications.
"Here at Kontagent, we are very excited about the prospect of using standard SQL to provide seamless access to the billions of events that we track daily. Rather than filtering through events and exporting them to mySQL, our customer support staff and data scientists will finally be able to work with tools they already know to query the raw data directly within our Hadoop cluster through the use of Lingual and Cascading."
-Zack Shapiro, Director of Engineering, Kontagent
"Concurrent was established with the belief that there had to be a simpler path to mass Hadoop adoption. And since day one, we have worked to create solutions that make it easier for developers to build powerful and robust Big Data application, quickly and easily. With the Lingual project, we are one huge step closer to realizing our mission."
-Chris Wensel, CTO and Founder, Concurrent, Inc.
Availability and Pricing
Lingual will soon be publicly available and freely licensable under the Apache 2.0 License Agreement. To learn more about the Lingual project, visit http://cascading.org/lingual. Concurrent also offers standard and premium support subscriptions for enterprise use. To learn more about Concurrent's offerings, please visit http://concurrentinc.com.
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 75,000 user downloads a month. Enterprises including Twitter, eBay, The Climate Corporation 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.