Solusi247 is an integrated service provider for information technology. They purchased an OEM license and Level 3 support for Cascading and are embedding it in their GRID247 framework for ETL and analytical data processes. See the full case study here.
Trulia is the fastest growing online real estate resource. They use Cascading as part of their main data processing pipeline, providing an easy and higher-level abstraction for running multiple MapReduce jobs. See the full case study here
TeleNav used Cascading to build a sophisticated machine learning framework that supports the company’s award-winning GPS navigation and mobile workforce management service. See the full case study here.
Scale Unlimited uses Cascading to provide efficient, reliable and scalable workflow systems for big data processing. See the full case study here.
FOR IMMEDIATE RELEASE
Large Companies Depend on Amazon Elastic MapReduce and Cascading to Run Their Business
Airbnb, Etsy and The Climate Corporation Improve Business Productivity and Profitability Using Cascading with Amazon Elastic MapReduce
SAN FRANCISCO – August 15, 2012 – Concurrent, Inc., the enterprise Big Data application platform company, today announced that Airbnb, Etsy and The Climate Corporation are combining Cascading, an advanced Java application framework from Concurrent, with Amazon Elastic MapReduce (EMR), a managed Hadoop environment, to reduce the cost and complexity of building, deploying and managing advanced data processing applications on Apache Hadoop.
By simplifying development and data processing of their application workflows, these and other successful, service-oriented companies realize significant productivity and time-to-market benefits, while reducing infrastructures cost and complexity. As a result, Airbnb, Etsy and The Climate Corporation are able to focus on improving customer experience and value for their businesses.
Cascading is an advanced Java application framework that enables developers to quickly and easily build robust data processing and data management applications on Apache Hadoop that can be deployed on clusters running in the cloud or within private data centers. Amazon EMR is a cloud service that enables businesses, researchers, data analysts and developers to easily and cost effectively process vast amounts of data. Airbnb, Etsy and The Climate Corporation are using Cascading on Amazon EMR to power the critical applications that run their business today.
Together, Cascading and Amazon EMR deliver benefits including:
Supporting Quotes
“Cascading is a proven Big Data application framework that has been battle tested in rigorous production environments for many years. Developers rely on Cascading and the growing ecosystem of community sponsored projects to build complex data intensive applications that drive their business. Working with Cascading and Amazon EMR, customers can be instantly productive and can easily scale their application infrastructure to meet the growing needs of their businesses.”
– Chris Wensel, CEO and Founder, Concurrent, Inc.
“Our business, as a trusted community marketplace showcasing unique accommodations around the world, has been rapidly growing since 2008. Things happen fast around here, and we need technology that can keep up with such a dynamic business. Using Cascading on Amazon EMR, new applications are easier to test, and developer confidence in those applications is stronger. Data from these applications is used by analysts to determine factors driving room bookings as well as user drop-off, thus helping us improve customer experience and add business value.”
-Florian Leibert, Software Engineer and Developer at Airbnb
“Etsy is one of the fastest growing online marketplaces with over 40 million unique visitors per month generating over 1.4 billion page views and large volumes of data. Using Cascading and Amazon EMR, the pipeline with which we process this data has scaled smoothly. Cascading powers all A/B analysis, a variety of analytics and dashboards, behavioral inputs to our search index, as well as many data-driven applications on our web site.”
-Matt Walker, Staff Software Engineer at Etsy
“The Climate Corporation builds massive, hyper-local weather and crop yield models, which are used to protect farmers from the financial impact of bad weather. We need to do this frequently and quickly. Cascading and Amazon EMR, via the Cascalog framework, enable our team of data scientists to focus on their strength — building these models — while hugely reducing the operational overhead traditionally associated with large-scale distributed computing. We process more than twenty (and growing) independent scientific datasets, resulting in terabytes of model data. It’s hard to imagine being anywhere near this productive without Cascading and EMR.”
-Siraj Khaliq, CTO at The Climate Corporation
Supporting Resources
About Concurrent, Inc.
Concurrent, Inc. is the enterprise Big Data application platform company. Founded in 2008 by Chris Wensel, the author of the popular open source Cascading API, Concurrent simplifies Big Data application development, deployment and management on Apache Hadoop. Concurrent is based in San Francisco and funded by Rembrandt Venture Partners and True Ventures. Visit Concurrent online at http://www.concurrentinc.com.
Media Contact
Kelly Indrieri
Kulesa Faul for Concurrent, Inc.
+1 (650) 340 1983
concurrent@kulesafaul.com
True Ventures invests in Concurrent, which is helping to define and lead the market for products around data processing and management that give context to growing volumes of data. Read the full article here.
The article highlights Concurrent’s seed round of funding and describes current and future plans of the company. Read the full article here.
Etsy is using Cascading to provide advanced features on their community and marketplace sites. See the full case study here.
Concurrent, Inc. Partners With MapR to Expand Usage of Hadoop in the Enterprise
MapR now fully certified with Concurrent’s Cascading and will include Concurrent open source tool in Hadoop distribution
SAN FRANCISCO, CA – June 29, 2011 – Concurrent, Inc., today announced its partnership with MapR Technologies, Inc., to expand usage of Hadoop in the Enterprise. By combining MapR’s innovations to make Hadoop more reliable, affordable, manageable and easier to use with Concurrent’s Cascading that allows applications to work with Hadoop through a straightforward Java API, the two companies are bringing large-scale data analysis to the Enterprise.
Apache Hadoop open source has been adopted quickly in “new economy” companies, but the requirement to write and manage complex MapReduce jobs and inability to integrate the analytics with Enterprise applications have slowed broader adoption.
“I believe Enterprises have the most to gain from using Hadoop, but the Apache version hasn’t fully delivered on that promise,” noted Chris Wensel, CEO and Founder of Concurrent, Inc. “MapR is the first to make great strides towards this goal, and we believe using the Cascading API with a MapR foundation delivers on the full promise of Hadoop in the Enterprise.”
Under this partnership, the MapR distribution for Apache Hadoop has been certified compatible with Cascading and supported for production use by Concurrent’s customers. Also, the MapR distribution will include the open-source application Multitool, based on Cascading, which allows users to search, find and process data files from the command line across a Hadoop cluster similar to sed and grep in Unix without the need to write code for common tasks.
“MapR is committed to expanding the Hadoop ecosystem to further facilitate a growing, innovative and viral Hadoop community,” said John Schroeder, CEO and Co-Founder, MapR Technologies. “We’ve now fully certified the MapR distribution with Cascading, a tool that has helped drive industry momentum and is widely leveraged by organizations whose business depends on data analysis.”
Cascading has been widely adopted, with users including Twitter, StumbleUpon, Ion Flux and Etsy. Cascading allows companies to develop new capabilities quickly and get to market faster.
Read more about Cascading here.
About Concurrent, Inc.
Concurrent, Inc. provides Enterprise class software that brings the power of parallel computing clusters to production data processing. The company is headquartered in San Francisco, CA. For more information about Concurrent, Inc., please visit www.concurrentinc.com.
MapR has announced its new partner program to expand usage of Hadoop. Read the MapR press release (with quote from Concurrent’s Chris Wensel).