SAN FRANCISCO – May 21, 2013 – Concurrent, Inc., the enterprise Big Data application platform company, today introduced Pattern, a free, open source, standard-based scoring engine that enables analysts and data scientists to quickly deploy machine-learning applications on Apache Hadoop™. Leveraging the power and broad platform support of the Cascading application framework, Pattern lowers the barrier to Hadoop adoption by enabling companies to leverage existing intellectual property (IP) in predictive models, existing investments in software tooling and the core competencies of existing analytics staff to run Big Data applications from existing machine-learning models using Predictive Model Markup Language (PMML) or through a simple programming interface.

Hadoop is rapidly becoming the tool of choice for tackling enterprise Big Data analytics needs in an effort to make the most of growing volumes of unstructured and semi-structured data. The need for Hadoop to easily integrate with existing data management and analytics systems, however, has created a real barrier to comprehensive Hadoop adoption.

Enter Pattern: PMML for Cascading and Hadoop

With the introduction of Pattern, companies can now leverage existing skill sets, core competencies and product investments by carrying them over to Hadoop via the standards-based PMML technology. PMML is the standard export format for tools, such as R, MicroStrategies® and SAS®; and with Pattern, analysts and data scientists familiar with these technologies can now run predictive data models at scale and integrate ETL, data preparation and predictive analytics in the same application to greatly reduce development time and unlock accessibility to large Hadoop data sets. Pattern in turn will enable a whole new class of use cases and simplify experiments.

Pattern 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.

By leveraging the Cascading framework, enterprises can apply Java, SQL and predictive modeling investments, and combine the respective outputs of multiple departments into a single application on Hadoop. This is a powerful step forward in delivering on the full promise of the business of Big Data.

Supporting Quotes

“Pattern facilitates AgilOne to deploy a variety of advanced machine-learning algorithms for our cloud-based predictive marketing intelligence solution. As a self-service SaaS offering, Pattern allows us to evaluate multiple models and push the clients’ best models into our high performance scoring system. The PMML interface allows our advanced clients to deploy custom models.”
-Antony Arokiasamy, Senior Software Architect, AgilOne

“Concurrent is tearing down barriers for mass Hadoop adoption. With Pattern, we have cleared another path by enabling data scientists to more easily bring their work to production. When combined, Cascading, Lingual and Pattern close the modeling, development and production loop for all data oriented applications. The combination of the three is the application ensemble for further enabling enterprises to drive differentiation through data.”
-Chris Wensel, CTO and Founder, Concurrent, Inc.

Supporting Resources

Pattern website: http://www.cascading.org/pattern
Cascading website: http://www.cascading.org
Lingual website: http://www.cascading.org/lingual
Company: http://www.concurrentinc.com
Contact Us: http://www.concurrentinc.com/contact
Follow us on Twitter: http://twitter.com/concurrent

Availability and Pricing

Pattern is a free, open source software and available under the Apache 2.0 License. To learn more about the Pattern project, visit http://www.cascading.org/pattern. Concurrent also offers standard and premium support subscriptions for enterprise use. To learn more about Concurrent’s offerings, please visit http://www.concurrentinc.com.

About Concurrent, Inc.

Concurrent, Inc.’s vision is to become the #1 software platform choice for Big Data applications. Concurrent builds application infrastructure products that are designed to help enterprises create, deploy, run and manage data processing applications at scale on Apache Hadoop.

Concurrent is the mind behind Cascading™, the most widely used and deployed technology for Big Data applications with more than 75,000+ user downloads a month. Used by thousands of data driven businesses including Twitter, eBay, The Climate Corp and Etsy, Cascading is the de-facto standard in open source application infrastructure technology. Concurrent is headquartered in San Francisco. Visit Concurrent online at http://www.concurrentinc.com.

Media Contact
Danielle Salvato-Earl
Kulesa Faul for Concurrent, Inc.
(650) 340 1982
concurrent@kulesafaul.com

SAN FRANCISCO – May 15, 2013 – Concurrent, Inc., the enterprise Big Data application platform company, today announced a partnership with MapR Technologies, Inc.™, the Hadoop technology leader, to expand usage of Apache Hadoop™ in the enterprise. Under this partnership, the MapR Distribution for Apache Hadoop has been certified compatible with Concurrent’s Cascading application framework and is now supported for production use by Concurrent’s customers. The MapR platform will also include an 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.

Apache Hadoop open source has been adopted quickly in “new economy” companies, but the requirement to write and manage complex MapReduce jobs and the inability to integrate the analytics with enterprise applications have slowed the broader mass adoption. By combining the MapR dependability, data protection and performance innovations with the power and broad platform support of Concurrent’s Cascading application framework, the two companies are bringing a simple-to-use, enterprise-grade development framework and deployment platform together for large-scale data analysis.

The MapR enterprise-grade platform supports a broad set of mission-critical and real-time production uses and brings unprecedented dependability, ease-of-use and world-record speed to Hadoop, NoSQL, database and streaming applications in one unified Big Data platform. MapR is the only distribution that enables Linux applications and commands to access data directly in the cluster via the NFS interface that is available with all MapR editions. Leading Fortune 100 and Web 2.0 companies, across industries, use MapR to analyze hundreds of billions of objects a day. MapR’s broad partner ecosystem includes market leaders such as Amazon, Cisco and Google.

Cascading is 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.

Supporting Quotes

“MapR is committed to continual innovation and growth in the Hadoop community. We’ve now fully certified the MapR Distribution with Cascading 2.1, a tool that has helped drive industry momentum and is widely leveraged by organizations whose business depends on data analysis. By partnering with Concurrent, we further expand on the promise of Hadoop by building a more robust and comprehensive solution for our customers.”
-John Schroeder, CEO and Co-Founder, MapR Technologies

“Enterprises in the business of data have the most to gain from using Hadoop, and MapR is the only Hadoop distribution that provides full data protection, no single points of failure, improved performance, and dramatic ease of use advantages to the enterprise. With today’s partnership, we have combined the power of Cascading with the reliability, scalability and performance of the MapR enterprise-grade platform, delivering one the most comprehensive offerings for Hadoop applications.”
-Gary Nakamura, CEO of Concurrent, Inc.

Supporting Resources

Cascading website: http://cascading.org
MapR website: http://www.mapr.com
Company: http://www.concurrentinc.com
Contact Us: http://concurrentinc.com/contact
Follow us on Twitter: http://twitter.com/concurrent

About MapR Technologies

MapR delivers on the promise of Hadoop with a proven, enterprise-grade platform that supports a broad set of mission-critical and real-time production uses. MapR brings unprecedented dependability, ease-of-use and world-record speed to Hadoop, NoSQL, database and streaming applications in one unified Big Data platform. MapR is used across financial services, retail, media, healthcare, manufacturing, telecommunications and government organizations as well as by leading Fortune 100 and Web 2.0 companies. Amazon, Cisco and Google are part of MapR’s broad partner ecosystem. Investors include Lightspeed Venture Partners, Mayfield Fund, NEA, and Redpoint Ventures. Connect with MapR on Facebook, LinkedIn and Twitter.

About Concurrent, Inc.

Concurrent, Inc. is the enterprise Big Data application platform company. 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. Investors include Rembrandt Venture Partners and True Ventures. Connect with Concurrent on LinkedIn and Twitter.

Visit Concurrent Inc online at http://concurrentinc.com

Media Contact
Danielle Salvato-Earl
Kulesa Faul for Concurrent, Inc.
(650) 340 1982
concurrent@kulesafaul.com

Concurrent Lingual

Lingual is a free, open source project that was designed to enable fast and simple Big Data application development on Apache Hadoop. It leverages the platform support of the Cascading application framework, thereby allowing SQL users to utilize existing skills to create and run Big Data applications on Hadoop without any new training.

Cascading is the most widely used and deployed technology for building Big Data apps, with more than 75,000 user downloads a month. Those using it include eBay, TeleNav and Twitter.

“With Concurrent Lingual, companies can leverage existing skill sets and product investments by carrying them over to Hadoop,” said Chris Wensel, CTO and founder of Concurrent. “Analysts and developers, familiar with traditional BI tools, can create and run Big Data applications on Hadoop.”

MapR and Canonical announced a partnership to put the MapR Hadoop distribution on Ubuntu. The company also put its source code on GitHub.
MapR Technologies, a Hadoop and big data specialist, and Canonical, the company behind the Ubuntu OS, have teamed up to deliver an integrated offering of the MapR M3 Edition for Apache Hadoop with Ubuntu.

Canonical and MapR said they also are working to develop a Juju Charm that can be used by OpenStack and other customers to easily deploy MapR into their environments. The Juju Charm can be used to deploy MapR M3 into both private and public clouds that have standardized on OpenStack. Juju is Canonical’s package management system for implementing cloud technologies. “Charms” are preconfigured deployment tools for specific products.  In addition, MapR announced that its source code is available on GitHub.

“With the launch of Ubuntu 12.04 LTS and the introduction of Juju, Canonical further established its lead in delivering easy access to the latest open cloud technology, including OpenStack,” Kyle MacDonald, vice president of cloud computing at Canonical, said in a statement. “Our customers want optimized workloads to run in their cloud and now, with the addition of MapR M3 as an easily deployable and enterprise-grade Hadoop solution, we are providing Ubuntu customers with an effective way to implement big data into their operations.”

The free MapR M3 Edition includes HBase, Pig, Hive, Mahout, Cascading, Sqoop, Flume and other Hadoop-related components for unlimited production use. MapR M3 will be bundled with Ubuntu 12.04 LTS and 12.10 via the Ubuntu Partner Archive.

The MapR Hadoop distribution enables Linux applications and commands to access data directly in the cluster via the NFS interface that is available with all MapR Editions.  The MapR M5 and M7 Editions for Apache Hadoop, which provide enterprise-grade features for HBase and Hadoop such as mirroring, snapshots, NFS HA and data placement control, will also be certified for Ubuntu, MapR officials said.

“Ubuntu and MapR are a great combination for implementing an open-source Hadoop cluster in any enterprise,” said Tomer Shiran, director of product management at MapR, in a statement. “For OpenStack customers, this packaged offering of Ubuntu with MapR is a fast and simple means to enable Hadoop as a service in their environments.”

Canonical was the first company to distribute and support OpenStack, and Ubuntu has remained the reference operating system for the OpenStack project since the beginning. Ubuntu is the easiest and most trusted route to an OpenStack cloud, whether for private use or as a commercial public cloud offering.

The Ubuntu/MapR package will be available through the Ubuntu Partner Archive for 12.04 LTS and 12.10 releases of Ubuntu on www.ubuntu.com starting April 25. The MapR Juju Charm will be available April 25 as part of the 13.04 Ubuntu release at http://jujucharms.com/.

Meanwhile, MapR announced the availability of its source code on GitHub, making it easy to access and modify components in the MapR Distribution for Apache Hadoop. The MapR Distribution combines more than a dozen different packages for Hadoop. The source code for these packages, including MapR’s fixes and enhancements, is now publicly available on GitHub at https://github.com/mapr/. In addition, MapR is releasing binaries, source code and documentation in a public Maven repository making it easier for developers to develop, build and deploy their Hadoop-based applications.

“MapR is committed to supporting the Hadoop ecosystem and to providing an open enterprise-grade Hadoop platform,” Shiran said. “By making this source code easily accessible on GitHub and providing open APIs such as NFS and ODBC, MapR is ensuring that end users have available an open and flexible, enterprise-grade platform for Hadoop.”

The following Hadoop-related projects are included in the MapR Distribution and are available on GitHub: Apache Hive, Apache Pig, Cascading, Apache HCatalog, Apache HBase, Apache Oozie, Apache Flume, Apache Sqoop, Apache Mahout and Apache Whirr. All MapR fixes and enhancements are available as open-source products, complete with version tagging.

“A couple of companies that make it easier for developers to write applications that run on Hadoop have also been funded recently. Concurrent this month raised $4 million and hired a new CEO, Gary Nakamura, while Continuuity so far has raised about $12.5 million.

Some of Continuuity’s founders were introduced by Concurrent’s founder, Chris Wensel , and the two companies are likely to become partners, according to Continuuity co-founder and CEO Todd Papaioannou.”

Cascading-Themed Sessions will be Held at Airbnb’s SF Tech Talk and Data Day Texas

SAN FRANCISCO – March 26, 2013 – Concurrent, Inc., the enterprise Big Data application platform company, today announced its director of Data Science, Paco Nathan, will present at two upcoming industry events, Airbnb’s Tech Talk in San Francisco and Data Day Texas in Austin, Texas. The talks will draw upon Nathan’s expert knowledge of Big Data and Cascading, and will include a keynote session at Data Day Texas.

Details At-A-Glance:

Airbnb SF Tech Talk

What: “Cascading: Enterprise Data Workflows based on Functional Programming”

When: Wednesday, March 27, at 7 p.m. PDT

Where: Airbnb Headquarters in San Francisco

How: To register and learn more about the talk, please visit: bit.ly/100h4CN

Nathan’s talk will be additionally live streamed and archived at: bit.ly/YKOlRE. Sponsored by O’Reilly Media, the event will also feature a drawing for free copies of his recently published “Enterprise Data Workflow with Cascading” book.

Data Day Texas Keynote

What: “Big Data in Texas: Then, Now, and Ahead”

When: Saturday, March 30, at 9 a.m. CDT

Where: AT&T Executive Education Conference Center, Austin

How: To register and learn more about the talk, please visit: bit.ly/YhKDp9

Data Day Texas Session

What: “Big Friendly Data Across Departments: Enterprise Data Workflows with Cascading”

When: Saturday, March 30, time TBD – please check the event agenda

Where: AT&T Executive Education Conference Center, Austin

How: To register and learn more about the talk, please visit: bit.ly/YhKDp9

Nathan will be holding office hours in the afternoon. He will additionally participate in a “Birds-of-a-Feather” meeting on Cascalog, in conjunction with the Austin and Dallas/Fort Worth Clojure Meetup groups. For more details on all, please visit: bit.ly/YhKDp9

About the Speaker

Paco Nathan is director of Data Science at Concurrent, Inc., where he leads the company’s developer outreach program. He holds a dual degree from Stanford in math/statistics and distributed computing, and has more than 25 years experience in the technology industry. Nathan is an expert in Hadoop, R, predictive analytics, machine learning and natural language processing. He has built and led several expert Data Science teams and is a frequent speaker at industry events.

Supporting Resources

• Cascading website: http://cascading.org
• Company: http://concurrentinc.com
• Contact us: http://concurrentinc.com/contact
• Follow us on Twitter: http://twitter.com/concurrent

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.

Media Contact
Danielle Salvato-Earl
Kulesa Faul for Concurrent, Inc.
(650) 340 1982
concurrent@kulesafaul.com

(as of March 6^th, 2013)

The Hadoop Ecosystem Infographic
myNoSQL (GigaOM repost)
Alex Popescu
March 5, 2013
http://nosql.mypopescu.com/post/44639201775/the-hadoop-ecosystem-infographic

The Hadoop ecosystem: the (welcome) elephant in the room (infographic)
GigaOM
Rani Molla and Derrick Harris
March 5, 2013
http://gigaom.com/2013/03/05/the-hadoop-ecosystem-the-welcome-elephant-in-the-room-infographic/

Hadoop Apps Without MapReduce Mindsets
Dr. Dobb’s
Adrian Bridgwater
February 28, 2013
http://www.drdobbs.com/open-source/hadoop-apps-without-mapreduce-mindsets/240149708

Concurrent Releases Lingual, a SQL DSL for Hadoop
InfoQ
Boris Lublinsky
February 28, 2013
http://www.infoq.com/news/2013/02/Lingual

Concurrent’s Lingual Designed to Let SQL Developers Run Big Data Applications on Hadoop
Data Informed
Cindy Waxer
February 27, 2013
http://data-informed.com/concurrents-lingual-designed-to-let-sql-developers-run-big-data-applications-on-hadoop/

Open Source ‘Lingual’ Helps SQL Devs Unlock Hadoop
TechWorld
Thor Olavrund
February 25, 2013
http://news.techworld.com/applications/3428358/open-source-lingual-helps-sql-devs-unlock-hadoop/

Open Source ‘Lingual’ Helps SQL Devs Unlock Hadoop
Computerworld Norway (CIO repost)
Thor Olavrund
February 22, 2013
http://news.idg.no/cw/art.cfm?id=23E3AD74-B36B-1585-BBE869D6F093BA95

Open Source ‘Lingual’ Helps SQL Devs Unlock Hadoop
InfoWorld (CIO repost)
Thor Olavrund
February 22, 2013
http://www.infoworld.com/d/business-intelligence/open-source-lingual-helps-sql-devs-unlock-hadoop-213329

Open Source ‘Lingual’ Helps SQL Devs Unlock Hadoop
CIO Magazine
Thor Olavrund
February 22, 2013
http://www.cio.com/article/729283/Open_Source_Lingual_Helps_SQL_Devs_Unlock_Hadoop?page=1&taxonomyId=600010

SQL is what’s next for Hadoop: Here’s who’s doing it
GigaOM
Derrick Harris
February 21, 2013
http://gigaom.com/2013/02/21/sql-is-whats-next-for-hadoop-heres-whos-doing-it/

Concurrent Announces Lingual: A New Big Data Tool
Dataversity
Angela Guess
February 21, 2013
http://www.dataversity.net/concurrent-announces-lingual-a-new-big-data-tool/

Concurrent Open Source Project Ties SQL to Hadoop
ITBusinessEdge
Michael Vizard
February 21, 2013
http://www.itbusinessedge.com/blogs/it-unmasked/concurrent-open-source-project-ties-sql-to-hadoop.html?utm_source=feedburner&utm_medium=twitter&utm_campaign=Feed%3A+MikeVizard+%28Mike+Vizard%29

Cascading into Hadoop with SQL
Datanami
Nicole Hemsoth
February 20, 2013
http://www.datanami.com/datanami/2013-02-20/concurrent_announces_sql_app_development_on_hadoop.html

Concurrent gives old SQL users new Hadoop tricks
The Register
Jack Clark
February 20, 2013
http://www.theregister.co.uk/2013/02/20/hadoop_sql_translator_lingual_launches/

(as of March 26, 2013)

Bay Area People: Gary Nakamura
SF Business Times
April 1, 2013
http://www.bizjournals.com/sanfrancisco/potmsearch/detail/submission/1580951

People on the Move: Gary Nakamura
Silicon Valley Business Journal
March 26, 2013
http://www.bizjournals.com/sanjose/potmsearch/detail/submission/1580961

Concurrent Secures $4M to Simplify Big Data Vision
SiliconAngle – Melissa Tolentino
March 21, 2013
http://siliconangle.com/blog/2013/03/21/concurrent-secures-4m-to-simplify-big-data-vision/

Big Data startup Concurrent raises $4M, names Gary Nakamura CEO
Silicon Valley Business Journal – Cromwell Schubarth
March 21, 2013
http://www.bizjournals.com/sanjose/news/2013/03/21/big-data-startup-concurrent-raises.html

Concurrent Raises $4 Million for Open Source Cascading Big Data App Framework
Internetnews.com – Sean Michael Kerner
March 21, 2013
http://www.internetnews.com/commentary/concurrent-raises-4-million-for-open-source-cascading-big-data-app-framework.html

Concurrent Finalizes $4M In Series A Funding; Announces New CEO Gary Nakamura
Cloud Computing Today
March 20, 2013
http://cloud-computing-today.com/2013/03/20/concurrent-finalizes-4-million-in-series-a-funding-and-announces-new-ceo-gary-nakamura/

Concurrent Raises $4 Million, Will Expand Big Data App Framework
The Inquisitr
March 20, 2013
http://www.inquisitr.com/581755/concurrent-raises-4-million-will-expand-big-data-app-framework/

Concurrent Raises $4M to Bolster Its Big Data App Framework
TechCrunch – Alex Williams
March 20, 2013
http://techcrunch.com/2013/03/20/concurrent-raises-4m-to-bolster-its-big-data-app-framework/

Big Data Open Source App Framework Gets Funded
Enterprise Apps Today – Sean Michael Kerner
March 20, 2013
http://www.enterpriseappstoday.com/data-management/big-data-open-source-app-framework-gets-funded.html

Hadoop Whisperer Concurrent Slurps VC Money
The Register – Jack Clark
March 20, 2013
http://www.theregister.co.uk/2013/03/20/hadoop_whisperer_concurrent_takes_vc_cash/

Concurrent Gets $4M for Higher-Level Hadoop
GigaOM – Derrick Harris
March 20, 2013
http://gigaom.com/2013/03/20/concurrent-gets-4m-for-higher-level-hadoop/

Concurrent Raises $4M from True, Rembrandt
peHUB – Mark Boslet
March 20, 2013
http://www.pehub.com/192109/concurrent-raises-4m-from-true-rembrandt/

Concurrent Raises $4M in Series A Funding
FinSMEs – Staff
March 20, 2013
http://www.finsmes.com/2013/03/concurrent-raises-4m-series-funding.html

Concurrent Raises $4M, Hires New CEO to Push Hadoop Apps
Dow Jones – Debbie Gage
March 20, 2013
http://pevc.dowjones.com/article?an=DJFVW00020130320e93kauu8f&from=alert&pid=32&ReturnUrl=http%3a%2f%2fpevc.dowjones.com%3a80%2farticle%3fan%3dDJFVW00020130320e93kauu8f%26from%3dalert%26pid%3d32

Concurrent Grabs $4M to Make ‘Big Data’ App Development on Hadoop Easier
VentureBeat – Sean Ludwig
March 20, 2013
http://venturebeat.com/2013/03/20/concurrent-funding/

Venture Capital Deals
Fortune – Dan Primack
March 20, 2013
http://finance.fortune.cnn.com/tag/venture-capital/

Startup Concurrent Lands $4 Million in Series A Funding to Simplify Big Data App Development
Database Trends & Applications – Joyce Wells
March 20, 2013
http://www.dbta.com/Articles/ReadArticle.aspx?ArticleID=88515

Hadoop Going Wild-Funding for MapR and Concurrent, Support on Azure
Dataversity Blog – Ben Kepes
March 20, 2013
http://diversity.net.nz/hadoop-going-wildfunding-for-mapr-and-concurrent-support-on-azure/2013/03/20/

Concurrent Closes $4M Series A Round to Help Companies Build Big Data Apps
The Next Web – Paul Sawers
March 20, 2013
http://thenextweb.com/insider/2013/03/20/concurrent-closes-4m-series-a-round-to-help-companies-build-big-data-apps/

Concurrent Closes $4 Million in Series A Funding, Appoints Gary Nakamura as CEO

New Funding and Leadership Will Accelerate Product Development and Grow Core Team

SAN FRANCISCO – March 20, 2013 – Concurrent, Inc., the enterprise Big Data application platform company, today announced it has raised $4 million in Series A funding. The investment, led by True Ventures and Rembrandt Venture Partners, will be used to fuel product development, grow the core team and further deliver on the company’s vision to simplify Big Data application development on Apache Hadoop™. Concurrent is also announcing the appointment of Gary Nakamura as CEO, a high-tech executive with a winning track record and more than 20 years of experience.

Corporate Milestones

• Today’s $4 million in Series A financing follows a $900,000 seed investment in August 2011.
• Launched Cascading 2.1, the most widely used and deployed application framework for building robust, enterprise Big Data applications on Hadoop.
• User downloads of Cascading have surpassed more than 75,000 per month.
• 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.
• Launched Lingual, an open source project that delivers ANSI-standard SQL technology to easily build new and integrate existing applications onto Hadoop.
• Entered into partnerships with technology leaders including, Amazon Web Services, Microsoft Azure, SpringSource, MapR, Greenplum, Karmasphere, Think Big Analytics and Scale Unlimited.
• Industry recognition includes 2012 InfoWorld Best of Open Source Software award win in the “Best Open Source Databases” category.

In conjunction with the funding news, Concurrent is pleased to welcome Gary Nakamura as CEO, effective immediately. Prior to joining Concurrent, Nakamura served as senior vice president and general manager of Terracotta, Inc., which was recently acquired by Software AG. There he led strategy, oversaw operating profit and loss, and ran business operations including sales, marketing and product management.

Founder Chris Wensel will take on a new role as CTO, where he will lead product innovation and Cascading community engagement for the company. “We are extremely excited to welcome Gary to Concurrent,” Wensel said. “His deep experience in the enterprise Big Data market will help us take the company to the next level.”

Supporting Quotes

“Our investors’ confidence in Concurrent validates our strategy and the pioneering work we have done since the launch of Cascading in 2008. This new investment will enable us to build on this foundation and accelerate our growth as we work to deliver our commercial product and grow the core team. I am excited to be joining Concurrent at such a pivotal time and look forward to driving the company’s continued growth and development.”

-Gary Nakamura, CEO, Concurrent, Inc.

“After our initial investment, we have watched Concurrent grow substantially and lead the Big Data application development market. The promise of its core technology, combined with the management team’s pedigree and Cascading’s success, continue to make this an exciting investment opportunity.”

-Puneet Agarwal, Partner, True Ventures

“Since partnering with Concurrent in 2011, we have been impressed with the widespread adoption of its technology. We believe Cascading is an important innovation and is critical to the growth and sustainability of the Big Data technologies in the enterprise. We are excited about Concurrent’s success, and this additional financing from Rembrandt is a testament to the company’s talent, technology and ability to deliver next-generation Big Data application development and management solutions to the enterprise.”

-In Sik Rhee, General Partner, Rembrandt Venture Partners

Supporting Resources

• Company: http://concurrentinc.com
• Cascading website: http://cascading.org
• Contact us: http://concurrentinc.com/contact
• Follow us on Twitter: http://twitter.com/concurrent

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.

Media Contact
Danielle Salvato-Earl
Kulesa Faul for Concurrent, Inc.
(650) 340 1982
concurrent@kulesafaul.com

Concurrent Enables SQL Users to Build Big Data Applications on Hadoop in Less Than 30 Seconds 

Introducing Lingual, an open source software project that delivers ANSI-standard SQL technology to easily build new and integrate existing applications onto Hadoop

SAN FRANCISCO – 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.

Supporting Quotes

“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.

Supporting Resources

• Lingual website: http://cascading.org/lingual
• Cascading website: http://cascading.org
• Company: http://concurrentinc.com
• Contact Us: http://concurrentinc.com/contact
• Follow us on Twitter: http://twitter.com/concurrent

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.

Media Contact
Danielle Salvato-Earl
Kulesa Faul for Concurrent, Inc.
(650) 340 1982
concurrent@kulesafaul.com