Concurrent: Reliable and Reusable Tooling to Quickly Build Data Products

Become a datadriven business to gain competitive advantage

Together, MapR and Concurrent are leading the movement towards Hadoopbased applications for the enterprise. Gain a competitive advantage by developing applications that leverage all of your data assets (legacy data, logs, sensor data, social media, etc.) in order to better serve your customers. This new class of applications helps you gain insights into your customers and operations in ways that were previously impossible.

The MapR Distribution is designed for production-grade applications that are run at large scale, so having operational visibility into those applications is crucial.
Because your data is your business, you need to ensure the quality, reliability and manageability of your data applications
Keeping with the theme of addressing the needs of enterprise users, Concurrent’s Driven APM tool gives developers, operations and line-of-business managers the tools they need to improve the quality, reliability and manageability of all of their big data applications. Driven’s unprecedented visibility into data applications provides deep insights, search, segmentation and visualizations for service-level agreement (SLA) management—all while collecting rich operational metadata in a scalable data repository. This gives you the ability to isolate, control, report and manage a broad range of data applications, from the simplest to the most complex data processes. Driven is a proven performance management solution that you can rely on to ensure the successful implementation of your data strategy.

Focus on the needs of your business, not your infrastructure

Cascading allows you to develop your business logic separately from your integration logic. It provides a rich API that allows you to think in terms of data and business problems with capabilities such as sort, average, filter, merge, etc. The computation engine and process planner convert your business logic into efficient parallel jobs, delivering the optimal plan at runtime to your MapR installation.

With Cascading, you don’t need to become a MapReduce expert to build applications on top of Hadoop. With Cascading’s intuitive Java API, you can use Java to build robust data-driven applications. Cascading’s extensions also give you the ability to leverage your SQL, Scala and data modeling skills.

Because Hadoop is never used alone, Cascading allows you to easily read and write from a variety of external systems to Hadoop and write results to another system (e.g., Teradata). The Cascading SDK comes with many pre-built and supported integrations, with many more provided by the community

About Concurrent

Concurrent, Inc. is the leader in big data application infrastructure, delivering products that help enterprises create, deploy, run and manage data applications at scale. The company’s flagship enterprise solution, Driven, was designed to accelerate the development and management of enterprise data applications. Concurrent is the team behind Cascading™, the most widely deployed technology for data applications with more than 200,000 user downloads a month.

Used by thousands of businesses including eBay, Etsy, The Climate Corp and Twitter, Cascading is the de facto standard in open source application infrastructure technology. Concurrent is headquartered in San Francisco and online at

About MapR

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 distribution for Hadoop. MapR is used by more than 700 customers across financial services, government, healthcare, manufacturing, media, retail and telecommunications as well as by leading Global 2000 and Web 2.0 companies. Investors include Google Capital, Lightspeed Venture Partners, Mayfield Fund, NEA, Qualcomm Ventures and Redpoint Ventures.

Concurrent Benefits

Build Scale-Free Applications

Build and test applications locally, deploy them at scale. Applications run properly even when encountering large data sets or small clusters.

Accelerate Application Development Cycles

Dramatically reduce the time to build enterprisegrade apps with process visualization capabilities.

Diagnose Application Performance Issues Immediately

Quickly identify all failed and poorly performing apps through an intuitive UI, and track key operational metrics.

MapR Benefits

Operational Efficiency

Deploy one unified big data platform for Hadoop, NoSQL, and streaming applications.

Proven Production Readiness

Get enterprise-grade reliability with MapR, including built-in high availability and disaster recovery capabilities, proven to meet stringent service-level agreements. With powerful, easy-to-use security controls, ensure your data is only visible to authorized users.

Consistent High Performance

Do more work with less hardware for lower TCO versus other distributions.

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