Category Archives: Press Releases

EPAM Partners With Concurrent Inc. to Leverage Big Data for the Enterprise

Press Releases

Newtown, PA — February 28, 2014 — EPAM Systems, Inc. (NYSE:EPAM), a leading provider of complex software engineering solutions and a leader in Central and Eastern European IT service delivery, announced its partnership with Concurrent, Inc., the enterprise Big Data application platform company and developer of Cascading, the most widely used and deployed application platform for building, deploying and managing robust Big Data applications.

With more than 6 years of supporting large-scale Big Data initiatives for the enterprise, Cascading is a widely deployed platform for scalable Big Data applications that opens data assets to more users within an organization, including data scientists, analysts and engineers. Leveraged by EPAM, the Cascading framework will help companies enable faster time-to-market and deliver repeatable solutions based on a standard infrastructure and flexible support of all popular Hadoop distributions. With its deep expertise in software development and large number of talented engineers, data scientists and solution architects, EPAM is ideally positioned for helping its customers gain immediate value from their growing data assets.

“We rely on EPAM’s extensive pool of software engineers and architects who are continuously trained to be experts in delivering Big Data solutions,” says Gary Nakamura, CEO, Concurrent, Inc. “Together, Concurrent and EPAM will jointly contribute to our customers’ success in Big Data projects with powerful resources.”

“We recognize Concurrent’s continuing innovation in Big Data and Data Science and the value their technology brings to the industry,” states Sam Rehman, Chief Technology Officer, EPAM Systems. “Concurrent products are a great addition to the toolkit of EPAM engineers, enriching the data solutions we provide to our customers. Our clients often ask us for help in transitioning to the new technology stack, and Cascading simplifies that learning curve very effectively.”

About Concurrent Inc.

Concurrent, Inc. delivers the #1 application development platform for Big Data applications. Concurrent builds application infrastructure products that are designed to help enterprises create, deploy, run and manage data applications at scale on Apache Hadoop™.

Concurrent is the team behind Cascading™, the most widely used and deployed technology for Big Data applications with more than 130,000+ user downloads a month. Used by thousands of 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 and online at http://concurrentinc.com.

About EPAM Systems

Established in 1993, EPAM Systems, Inc. (NYSE: EPAM), provides complex software engineering solutions through its award-winning Central and Eastern European service delivery platform. Headquartered in the United States, EPAM employs approximately 9,300 IT professionals and serves clients worldwide from its locations in the United States, Canada, UK, Switzerland, Germany, Sweden, Netherlands, Singapore, Belarus, Hungary, Russia, Ukraine, Kazakhstan, Poland, Hong Kong and Australia.

EPAM is ranked #2 on the 2013 Forbes list of America’s Best Small Companies: 20 Fast-Growing Tech Stars and is recognized among the leaders in software product development services by Forrester and Zinnov analysts. The company is also included in the top 30 in IAOP’s “The 2013 Global Outsourcing 100” list.

For more information, please visit www.epam.com.

Forward-Looking Statements

This press release includes statements which may constitute forward-looking statements made pursuant to the safe harbor provisions of the Private Securities Litigation Reform Act of 1995, the accuracy of which are necessarily subject to risks, uncertainties, and assumptions as to future events that may not prove to be accurate. Factors that could cause actual results to differ materially from those expressed or implied include general economic conditions and the factors discussed in our most recent Annual Report on Form 10-K and other filings with the Securities and Exchange Commission. EPAM undertakes no obligation to update or revise any forward-looking statements, whether as a result of new information, future events, or otherwise, except as may be required under applicable securities law.

Media Contact

EPAM Systems, Inc.
Joseph King, Vice President of Marketing
Phone: +1-267-759-9000 x56790
Fax: +1-267-759-8989
prinquiry@epam.com

Concurrent, Inc. Delivers the First Application Performance Management Product for Big Data Applications

Press Releases

A Free Cloud Service, Driven Delivers Unmatched Visibility and Control to Big Data Applications

SAN FRANCISCO – Feb. 4, 2014 – Concurrent, Inc., the enterprise Big Data application platform company, today announced Driven, the industry’s first application performance management product for Big Data applications. Driven is purpose-built to address the pain points of enterprise application development and application performance management on Apache Hadoop™.

There is strong demand for a solution that helps Hadoop users quickly get to the bottom of their data application failures and performance problems. Driven enables developers, data analysts, data scientists and operations to see key application metrics in real-time, so that they can isolate and resolve problems immediately. The end results are stable, highly reliable applications that enterprises can depend on to deliver against their Big Data strategies.

Driven provides unprecedented visibility and control to Big Data applications developed, managed and deployed on Hadoop. Driven is a free cloud service and is an integral part of the Cascading community, where users can collaborate across organizations and get help from community experts.

Driven enables developers and enterprises to:

  • Accelerate Time to Market
    Dramatically reduce the time to application production with process visualization and monitoring capabilities. Quickly understand complex applications and data flows by drilling-down into each application at runtime through a rich user interface to accelerate your test-driven development cycle.
  • Build Reliable Applications
    Gain detailed insight into your data processing logic and algorithms, and ensure that they are executing properly. Key application metrics around each data process are surfaced to provide insights around data accuracy.
  • Optimize Application Performance
    Understand the performance and capacity of the applications running on your infrastructure. Key application behavior metrics, such as data skew and runtime parallelization, provide insights to application behavior. Also, compare with historical data to trend application performance whether in development or in production.

Cascading Users Rejoice

With more than 130,000 monthly downloads and 6,000 deployments, Cascading is the platform of choice for the development and deployment of Big Data applications. All Cascading users can leverage Driven to optimize the development and deployment of their Cascading applications, including users of popular domain-specific languages (DSL) built on Cascading, i.e. Scalding (Scala DSL on Cascading), Cascalog (Clojure DSL on Cascading), Lingual (ANSI SQL on Cascading) and Pattern (Predictive Model Scoring on Cascading).

Cascading users can drop in the free plug-in in minutes by visiting http://www.cascading.io. Once installed, Driven immediately begins collecting telemetry data from your running applications, enabling Cascading users to visualize their data applications, diagnose and quickly resolve application failures and performance problems. Cascading and Driven together deliver a one-two punch that knocks out the complexity in Big Data application development.

Supporting Quotes

“We build Big Data applications on Cascading and rely on these applications to run our service. Driven is a much-needed addition to deploying and managing our Cascading applications on a day-to-day basis.”

-David Amusin, CTO, Copilot

“Given the rapid adoption of Hadoop, we fully embrace partners that are focused on helping enterprises develop Big Data applications on Apache Hadoop in a more collaborative, streamlined fashion. We look forward to the success, control and visibility that Driven will bring to Hadoop deployments in the enterprise.”

-John Kreisa, vice president strategic marketing, Hortonworks

“Driven is a powerful step forward in delivering on the full promise of connecting business with Big Data. Gone are the days when developers must dig through log files for clues to slow performance or failures of their data processing applications. The release of Driven further enables enterprise users to develop data oriented applications on Apache Hadoop in a more collaborative, streamlined fashion. Driven is the key to unlock enterprises’ ability to drive differentiation through data. There’s a lot more to come – this is only the beginning.”

-Chris Wensel, founder and CTO, Concurrent, Inc.

Availability and Pricing

Driven will be available in public beta this week at http://www.cascading.io/driven and is offered as a free cloud service as part of the Cascading community.

Driven is free for development. To request a quote for a production license or to evaluate Driven in your data center, contact sales@concurrentinc.com. Driven will be generally available in Q2 2014, with additional operations features and deployment options.

Supporting Resources

About Concurrent, Inc.

Concurrent, Inc. delivers the #1 application development platform for Big Data applications. Concurrent builds application infrastructure products that are designed to help enterprises create, deploy, run and manage data applications at scale on Apache Hadoop™.

Concurrent is the team behind Cascading™, the most widely used and deployed technology for Big Data applications with more than 130,000+ user downloads a month. Used by thousands of 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 and online at http://concurrentinc.com.

Media Contact

Danielle Salvato-Earl
Kulesa Faul for Concurrent, Inc.
(650) 922-7287
concurrent@kulesafaul.com

Concurrent, Inc. Announces Entry Into the Rackspace Partner Network

Press Releases

Collaboration Combines Power of Cascading with the Rackspace Hybrid Cloud to Deliver Flexibility and Simplicity for Hadoop Deployments

SAN FRANCISCO – Jan. 28, 2014 – Concurrent, Inc., the enterprise Big Data application platform company, today announced that it has joined the Partner Network for Rackspace® Hosting, (NYSE: RAX), the open cloud company. By joining the Rackspace partner network, Concurrent allows users to easily deploy Big Data applications at scale on the Rackspace Hybrid Cloud, powered by OpenStack. This channel partnership combines the power of Cascading, the most widely used and deployed application platform for building robust enterprise Big Data applications, with Rackspace’s managed cloud hosting expertise to drive enterprise Big Data application development on Apache Hadoop™.

Cascading is the enterprise development framework of choice for processing data sets on Hadoop, with more than 130,000 downloads a month. 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. Cascading is compatible with all popular Hadoop distributions, including Hadoop 2 and YARN.

As more businesses seek to leverage their data assets, there is an ever-growing need for cost-effective, scalable Big Data platforms. Enter Rackspace hybrid cloud platform, which provides developers, architects and data scientists with a flexible solution for easily developing, deploying and managing Big Data applications at scale. Enterprises can now tap into the power of Cascading along with Rackspace’s high-performance and cost-effective hosted cloud to further drive business differentiation through data.

Supporting Quotes

“Rackspace is proud to welcome Concurrent as a select technology partner, especially given the incredible popularity of Cascading. We look forward to furthering enterprise Big Data adoption by jointly providing the easiest, most cost-effective and reliable means for Hadoop deployment.”

-Chris Rallo, Senior Manager, Partner Strategy and Programs, Rackspace

“Using the right tools is critical for ensuring the success of any Big Data project. By partnering with Rackspace, Concurrent continues our dedication to easy Big Data application development for the masses. Rackspace’s hybrid cloud platform provides enterprises with best-in-breed capabilities to make the most of their Cascading Big Data application projects on a scalable, high-performance framework.”

-Gary Nakamura, CEO, Concurrent, Inc.

“Combining the power of Cascading with Rackspace’s hybrid cloud platform provides the right recipe for developing solutions fast while ensuring easy deployment at scale. AdMobius is committed to providing our customers with the very best solutions to make sense of their data, and this partnership helps ensure that we do just that.”

-Ray Duong, CTO, AdMobius

Supporting Resources

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 130,000 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.

Media Contacts
Danielle Salvato-Earl

Kulesa Faul for Concurrent, Inc.
(650) 922-7287
concurrent@kulesafaul.com

Concurrent, Inc. Momentum Continues, Driving Innovation Through Data

Press Releases

SAN FRANCISCO – Jan. 8, 2013 – Concurrent, Inc., the enterprise Big Data application platform company, finished a stellar 2013 with unprecedented growth and innovative solutions for the enterprise. The company continues to pave the way for enterprise Big Data application development on Apache Hadoop™ with rapid adoption of its Cascading application platform, along with the introduction of open source projects Cascading Lingual 1.0, Cascading Pattern and Cascading 2.5. Additional yearly milestones include $4 million in Series A funding, continued expansion of the company’s leadership team and new strategic partnerships, as well as overwhelming successes seen by Cascading users.

Cascading has become the platform of choice for tackling enterprise Big Data processing needs in an effort to connect growing volumes of data stored with business strategy. With rapid and increasing demand for businesses to derive more from data, Cascading provides a practical and reliable platform for enterprises to leverage existing skillsets, software investments and systems to build enterprise-class applications on Hadoop, thereby lowering the barrier to adoption and facilitating execution of their data strategies. With Cascading, enterprises can apply Java, SQL and predictive modeling investments, and combine the respective outputs of multiple departments into a single enterprise data application.

Corporate, Project and Partnership Milestones

  • Secured $4 million in Series A funding in March 2013, following a $900,000 seed investment in August 2011.
  • Expanded leadership team with the appointments of Gary Nakamura as CEO and Paul O’Leary as vice president of engineering.
  • Launched Cascading 2.1 and Cascading 2.5, the most widely used and deployed application platform for building robust, enterprise Big Data applications on Hadoop, with full support and compatibility for Hadoop 2, including YARN.
  • Launched Cascading Lingual 1.0, a free open source project that delivers ANSI-SQL technology to easily build new and integrate existing applications onto Hadoop while using any traditional BI solution.
  • Launched Cascading Pattern, a free, open source, standard-based scoring engine that enables analysts and data scientists to quickly deploy machine-learning applications via PMML or an API.
  • Increased Cascading user downloads from 50,000 to more than 130,000 per month.
  • Empowered overwhelming user successes, including Twitter’s IPO and the $930 million acquisition of the Climate Corporation by Monsanto.
  • Added new strategic partnerships with technology leaders including Hortonworks, MapR, Think Big Analytics and Qubole.
  • Released the hands-on introductory book ‘Enterprise Data Workflows with Cascading,’ published by O’Reilly Media.

Supporting Quote

“The past year was a great one for Concurrent, marked by several significant project releases, partnership announcements as well as overwhelming enterprise adoption. As more and more enterprises realize that they are in the business of data, only Cascading offers the complete toolbox for quick and easy Big Data application development on Hadoop. We look forward to seeing more success in 2014 as Cascading continues its momentum in the market.”
– Gary Nakamura, CEO, Concurrent, Inc.

Supporting Resources

Concurrent Announces 2014 Big Data Predictions

Curious to know what’s in store for Big Data in 2014? Check out Concurrent’s top 2014 industry predictions at:http://bit.ly/1aZorQh

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 130,000 user downloads a month. Enterprises including Twitter, eBay, The Climate Corporation, Square and Etsy 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) 922-7287
concurrent@kulesafaul.com

2014 Big Data Predictions Include Bigger Data, Bigger Funding, Bigger Failures

Press Releases

Concurrent, Inc. CEO Predicts 2014 Big Data Trends – More Funding and IPOs, Hadoop is Still Everywhere, But It’s All About the Apps

SAN FRANCISCO – Dec. 12, 2013 – Concurrent, Inc., the enterprise Big Data application platform company, today released its top 2014 predictions around Big Data. As the previous year witnessed major market milestones such as the release of Hadoop 2, expansion of the Hadoop ecosystem and continued investment in Big Data initiatives by global enterprises, 2014 promises to be another momentous year for Big Data.

“Today every company is in the business of data, and this will drive the demand for cost effective and scalable Big Data platforms higher than ever before,” said Gary Nakamura, CEO of Concurrent, Inc. “As the market starts to catch up to the Big Data hype, 2014 will prove that leveraging the right tools can make or break a project. In addition to new roles and requirements, the coming year will also see acquisitions, IPOs and funding on the rise and a shift toward Big Data application development as the next big thing.”

Nakamura offered the following 2014 predictions:

  1. Funding is the new black.
    Everyone wants a piece of the Big Data pie. In 2014, we will see Big Data funding only grow, and at least one significant IPO possibly from a player like Cloudera. As investors rush to get in the game, investments in Big Data will increase significantly yet imprudently, as smart people rather than innovative ideas will attract funding. Therefore, next year will signal the need for a funding reset – more due diligence, less mediocrity.
  2. More Hadoop projects will fail than succeed.
    More Hadoop projects will be swept under the rug as businesses devote major resources to their Big Data projects before doing their due diligence, which results in a costly, disillusioning project failure. We may not hear about most of the failures, of course, but the successes will clearly demonstrate the importance of using the right tools. The right Big Data toolkit will enable organizations to easily carry forward the success of these projects, as well as further insert their value into their business processes for market advantage.
  3. Enter the era of the Big Data product manager.
    As enterprises work to bridge the emerging gap between Big Data projects and business processes, this opens the door to a new career opportunity. The role of Big Data product manager will entail the identification, definition and shipping of specific data products aimed to solve critical business problems and maximize opportunities. It will require product management and data experience, along with a deep understanding of data science, and will become the norm as companies recognize that they are in the business of data.
  4. The next big thing in Big Data will NOT be the data, but the apps. 
    While we can expect to see continued investment happen at the data layer, we also anticipate a massive acceleration in the number and frequency of new data applications. These applications will turn into data products for internal and external use, and will clearly emerge as the next area of growth for Big Data.
  5. While it becomes ever ubiquitous, the Big Data “thang” will remain convoluted.
    We are sorry to say that the rapidly evolving Big Data market will continue to confuse rather than provide clear guidance on what it is exactly that enterprises should be doing now. Those businesses that can separate the wheat from the chaff, and execute upon this valuable knowledge, will be the ones to succeed.

Supporting Resources

Company: http://concurrentinc.com
Cascading: 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 110,000 user downloads a month. Enterprises including Twitter, eBay, The Climate Corporation, Square and Etsy rely on Concurrent’s technology to drive their Big Data deployments. Concurrent is headquartered in San Francisco. Visit Concurrent online athttp://concurrentinc.com.

Media Contact
Danielle Salvato-Earl
Kulesa Faul for Concurrent, Inc.
(650) 922-7287
concurrent@kulesafaul.com

Concurrent, Inc. and Qubole Partner to Accelerate Enterprise Big Data Adoption

Press Releases

With Qubole Data Service, Cascading Users Can Easily Deploy Big Data Applications at Scale on an Elastic, Cost-Effective Cloud Platform

SAN FRANCISCO – 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.

Supporting Quotes

“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.

Supporting Resources

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 athttp://concurrentinc.com.

About Qubole

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.

Media Contacts
Danielle Salvato-Earl
Kulesa Faul for Concurrent, Inc.
(650) 922-7287
concurrent@kulesafaul.com

Concurrent, Inc. Accelerates Big Data Application Development in the Enterprise

Press Releases

Introducing Cascading 2.5, now with full support and compatibility for Hadoop 2, including YARN

SAN FRANCISCO – Nov. 19, 2013 – Concurrent, Inc., the enterprise Big Data application platform company, today introduces Cascading 2.5, an open source Big Data application framework for building robust, enterprise Big Data applications on Apache Hadoop™. The most widely used and deployed Big Data application platform now delivers support for Hadoop 2, including YARN, representing another powerful step toward delivering on the full promise of the business of data.

Enterprises today are rapidly adopting Hadoop and other computation engines to process, manage and make sense of growing volumes of both unstructured and semi-structured data. At the same time, the need to rapidly and reliably build enterprise-class applications without deep knowledge of these technologies is the greatest it has ever been. Cascading fulfills this critical need by allowing businesses to leverage their existing skillsets, investments and systems to build enterprise-class applications on Hadoop, thereby lowering the barrier to adoption. With the family of Cascading applications, enterprises can apply Java, legacy SQL and predictive modeling investments, and combine the respective outputs of multiple departments into a single data processing application.

New Cascading 2.5 features and benefits include:

  • Support for Hadoop 2 and its new features, including YARN. Cascading users looking to upgrade to Hadoop 2 will now be able to seamlessly migrate their applications and take advantage of new advance features like YARN. Furthermore, Big Data applications using domain specific languages (DSLs), such as the widely used Scalding (Scala on Cascading), Cascalog (Clojure on Cascading) and PyCascading (Jython on Cascading) languages, will also seamlessly migrate to Hadoop 2.
  • Added performance improvements for complex join operations and optimizations to dynamically partition and store processed data more efficiently on HDFS.
  • Additional broad compatibility with other Hadoop vendors and Hadoop as a service providers, including Cloudera, Hortonworks, MapR, Intel, Altiscale, Qubole and Amazon EMR, among others give Cascading users a richer set of deployment options and services available to them, whether on-premise or in the cloud.

Concurrent also announced today the general availability ofCascading Lingual, an open source project that provides a comprehensive ANSI SQL interface. The solution allows enterprises to quickly migrate legacy SQL workloads from data warehouses and mainframes to Hadoop by simply cutting and pasting their SQL and redeploying them on Hadoop – enabling a fast, simple and reliable way to add workloads onto Hadoop. Moreover, Cascading Lingual provides out-of-the-box support for JDBC. Enterprises that have invested millions of dollars in business intelligence (BI) tools, such as Pentaho, Jaspersoft and Cognos, and training can now also access their data on Hadoop through standard SQL interface.

Supporting Quotes

“The combined power of Concurrent’s Cascading and Cloudera CDH, the world’s most widely deployed Apache Hadoop distribution, delivers users an enterprise-grade, flexible framework and API for building and managing Big Data applications.”
-Tim Stevens, Vice President, Corporate and Business Development, Cloudera

“As a leading provider of Hadoop-in-the-Cloud, Altiscale is focused on leveraging the potential of Hadoop 2. Our enterprise customers are very interested in the new capabilities in Hadoop 2, so it’s critical that they are easy to consume. Our partnership with Concurrent and integration with Cascading 2.5 allows our customers to quickly build mission-critical, easy-to-maintain Hadoop applications to run on our ’Big Data Dialtone.’”
-Raymie Stata, CEO, Altiscale

“Within Hortonworks Data Platform 2.0, YARN enables enterprises to interact with all data in multiple ways simultaneously, making Hadoop a true multi-use data platform and allowing it to take its place in a modern data architecture. We are pleased to see Concurrent embrace these significant advances as they make Cascading 2.5 available.”
-John Kreisa, Vice President of Strategic Marketing, Hortonworks

“Despite its rapid enterprise adoption, developing and building applications on Hadoop has proven to be difficult. With Hadoop 2, the community has addressed many concerns, paving a clearer path for enterprise users. At Concurrent, we’re dedicated to forging a simpler path to mass Hadoop adoption by delivering a framework for building powerful and reliable data-oriented applications supporting data driven business models – quickly and easily. Our support for Hadoop 2 was an easy decision, as we continue to be an integral part of the Hadoop and Big Data ecosystem, providing solutions that simplify application development and management for the enterprise.”
-Chris Wensel, Founder and CTO, Concurrent, Inc.

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

Availability and Pricing

Cascading 2.5 will soon be publicly available and freely licensable under the Apache 2.0 License Agreement. To learn more about Cascading, visit http://cascading.org. Concurrent also offers standard and premium support subscriptions for enterprise use. To learn more about Concurrent’s offerings, please visithttp://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 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.

Media Contact
Danielle Salvato-Earl
Kulesa Faul for Concurrent, Inc.
(650) 922-7287
concurrent@kulesafaul.com

Concurrent Delivers All-Access Pass to BI Tools on Hadoop

Press Releases

Available now and built for the enterprise; Cascading Lingual enables users to query and export data from Hadoop directly into any traditional BI solution

SAN FRANCISCO – Nov. 19, 2013 – Concurrent, Inc., the enterprise Big Data application platform company, today announced the immediate availability of Cascading Lingual, an open source project that provides ANSI compatible SQL enabling fast and simple Big Data application development on Apache Hadoop™.  With Cascading Lingual, enterprises that have invested millions of dollars in business intelligence (BI) tools, such as Pentaho, Jaspersoft and Cognos, and training can now access their data on Hadoop in a matter of hours, rather than weeks. By leveraging the power and broad platform support of the Cascading application framework, Cascading Lingual lowers the barrier to enterprise application development on Hadoop.

Enterprises are rapidly adopting Hadoop to deal with growing volumes of both unstructured and semi-structured data. The need for Hadoop to easily integrate with existing data management systems, however, creates a real barrier to unlocking the full potential of Big Data and Hadoop. Cascading Lingual allows users to utilize existing SQL skills and systems to instantly create and run applications on Hadoop. As a result, data analysts, scientists and developers can now easily work with data stored on Hadoop using their favorite BI tool.

Cascading Lingual: Hadoop for Everyone Else

Cascading Lingual enables virtually anyone familiar with SQL to instantly work with data stored on Hadoop using their JDBC compliant BI or desktop tool of choice. Enterprises benefit as they can execute on Big Data strategies using existing in-house resources, skills sets and product investments. Cascading Lingual drives improved enterprise productivity, time-to-market benefits and the deployment of a sane and maintainable Big Data strategy.

Offering a true ANSI-standard SQL interface, Cascading Lingual is compatible with all major Hadoopdistributions whether on-premise or in the cloud. This project has coverage of more than 7,000 SQL-99 statements derived from sophisticated industry standard OLAP tools, delivering the broadest SQL coverage for any tool in the Hadoop ecosystem. It’s innovative by making Hadoop simple and accessible, and by providing easy systems integration for multiple data stores into Hadoop by using just one SQL statement. Cascading Lingual use-case examples include:

  • Data analysts, scientists and developers can now simply ‘cut and paste’ existing ANSI SQL code to instantly access data locked on or migrate applications to a Hadoop cluster.
  • Developers can use a standard Java JDBC interface to create new Hadoop applications, or use the Cascading APIs to build applications with a mix of SQL and custom Java, Scala or Clojure code.
  • Being ANSI-standard compliant and supporting the standard Java JDBC interface, companies can now query and export data from Hadoop directly into traditional BI tools.

Concurrent also announced today the release of Cascading 2.5, an open source Big Data application framework with full support and compatibility for Hadoop 2, including YARN. As enterprises upgrade to Hadoop 2 or move from one platform to another, Cascading eliminates the complexity associated with platform migration by acting as the abstraction layer between hardware platforms and applications.

Cascading is the most widely used and deployed application framework for building robust, enterprise Big Data applications on Hadoop. Companies, including The Climate Corporation, eBay, Etsy, Square, 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

“Cascading is an important component to the Big Data application development ecosystem, and Lingual is another step forward in making it significantly easier to build Big Data apps. Now, Amazon Elastic MapReduce (EMR) customers can leverage Lingual to integrate disparate data stores on Amazon Web Services (AWS) with services such as Amazon S3 and Amazon Redshift, and they can process the data and store it in Amazon EMR through one standard ANSI SQL statement. This makes it easier for customers to query data with their favorite BI tool.”
-Steve McPherson, Group Manager, Amazon EMR at AWS

“Concurrent is committed to our mission of simplifying enterprise application development and deployment on Hadoop. Cascading Lingual abstracts the complexity of Hadoop into languages and interfaces that people already know, providing a pragmatic, yet powerful, tool for enterprises that are looking to make the most of their in-house talent. With Cascading Lingual, companies can now make the most of Hadoop without the costly investment in additional BI tools and training.”
-Gary Nakamura, Chief Executive Officer, Concurrent, Inc.

Supporting Resources

Cascading 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

Cascading Lingual is now publicly available and freely licensable under the Apache 2.0 License Agreement. To learn more about the Cascading 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 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 athttp://concurrentinc.com.

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

Concurrent, Inc. and Think Big Analytics Partner to Unleash the Power of Big Data in the Enterprise

Press Releases

Collaboration Supports Ever-Growing Cascading Community; Offers Services to Drive Further Business Value from Big Data Application Developments on Apache Hadoop

SAN FRANCISCO – Oct. 2, 2013 – Concurrent, Inc., the enterprise Big Data application platform company, today announced a new partnership with Think Big Analytics, a provider of data science and engineering services for Big Data and big analytics projects. Now, enterprises can leverage the power of the Cascading application framework and have access to the Think Big team of expert Big Data engineers, architects and data scientists to drive further business value from their Big Data deployments on Apache Hadoop™.

Enterprises are moving from Big Data as a project to being in the “business of data,” and are leveraging Cascading to process and analyze exponentially growing volumes of data. Big Data has broad reaching and significant untapped value for the enterprise.

While Cascading allows users to leverage existing skills and IT investments to instantly create and run Big Data applications on Hadoop, enterprises often require external support to integrate Cascading into their infrastructure. As a result, Concurrent partnered with Think Big, which is known for its strategic planning, implementation and training expertise. Think Big provides valuable expertise to execute a Big Data strategy quickly and with low risk. The Big Data consulting firm provides services that ensure enterprises have the right foundation in place to make the most of their Big Data strategies. Think Big will provide customized consulting and implementation services to support enterprises’ Big Data application deployments on Hadoop in order to maximize each project’s business value.

Supporting Quotes

“In order to achieve Big Data breakthroughs, companies need to invest in both technology and people. Our partnership with Concurrent addresses both aspects as enterprises can tap into the power of the Cascading application framework while accessing the expertise and training of the Think Big team. After looking at other approaches, we’ve decided to support Cascading as it offers a proven solution for Big Data application development on Hadoop by solving real business problems at enterprise scale.”

-Ron Bodkin, Founder and CEO, Think Big Analytics

“Cascading is the most widely used and deployed application framework for building robust, enterprise Big Data applications. And, at Concurrent, we are committed to offering the best resources available to our ever-expanding user base. Our partnership with Think Big is a reflection of that commitment. Think Big offers invaluable support to our enterprise users and shares our mission of driving business differentiation through data.”

-Gary Nakamura, CEO of Concurrent, Inc.

Supporting Resources

About Think Big Analytics
Think Big Analytics is purpose-built to enable customers to create value from Big Data. The company provides data science and engineering services to assemble custom solutions that deliver business outcomes. Think Big collaborates with leaders to prioritize initiatives and generate value quickly with its proven Cornerstone Methodology (SM). The company was founded by former Quantcast and C-Bridge executives and is based in Mountain View, CA. For more information, visit www.thinkbiganalytics.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 90,000 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, Inc. Fulfills Mission to Bring Rapid Application Development and Deployment on Hadoop to the Masses

Press Releases
    • Cascading production base grows to more than 4,500 deployments, 30,000 users and 90,000 downloads per month
  • Continued innovation and strategic partnerships helps propel momentum
  • New CEO, Vice President of Engineering appointments and Series A funding support growth and product development

SAN FRANCISCO – Aug. 13, 2013 – Concurrent, Inc., the enterprise Big Data application platform company, wraps up the first half of 2013 with unprecedented growth and momentum. The company continues to drive Big Data application development on Apache Hadoop™ with the rapid adoption of its Cascading™application framework, the introduction of open source projectsCascading Lingual and Cascading Pattern, the expansion of the company’s leadership team, new strategic partnerships and $4 million in Series A funding.

Cascading is rapidly becoming the framework of choice for tackling enterprise Big Data processing needs in an effort to make the most of growing volumes of unstructured and semi-structured data stored in Hadoop. With the continuing and rapid evolution of Hadoop and the business imperative to derive more from data, Cascading provides a practical and useful abstraction for enterprises to leverage existing skill sets and easily integrate Hadoop with existing data management and analytics systems. Concurrent continues to deliver on its promise to make development and deployment of ETL, data processing and analytic applications on Hadoop easy.

“Enterprises continue to rely on Cascading as critical infrastructure to streamline and operationalize their Big Data strategy,” said Gary Nakamura, CEO of Concurrent. “With application development front and center in the world of Big Data, Cascading delivers a complete toolbox for enterprises to make the most of the business of data. We look forward to Cascading’s continued momentum in the market.”

Corporate, Project and Partnership Milestones

● Secured $4 million in Series A funding in March 2013, following a $900,000 seed investment in August 2011.
● Expanded leadership team with the appointments of Gary Nakamura as CEO, and Paul O’Leary as vice president of engineering.
● Launched Cascading 2.1, the most widely used and deployed application framework for building robust, enterprise Big Data applications on Hadoop.
● Launched Cascading Lingual, a free open source project that delivers ANSI-SQL technology to easily build new and integrate existing applications onto Hadoop.
● Launched Cascading Pattern, a free, open source, standard-based scoring engine that enables analysts and data scientists to quickly deploy machine-learning applications via PMML or an API.
● User downloads of Cascading have surpassed more than 90,000 per month.
● Addition of strategic partnerships with technology leadersHortonworks and MapR.

Supporting Resources

● Enterprise Data Workflows with Cascading:http://oreil.ly/19Gc9y6
● Cascading website: http://www.cascading.org
● Cascading Lingual website: http://cascading.org/lingual
● Cascading Pattern website: http://www.cascading.org/pattern
● Company: http://www.concurrentinc.com
● Contact Us: http://www.concurrentinc.com/contact
● Follow us on Twitter: http://www.twitter.com/concurrent

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