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Concurrent, Inc. Continues to Expand Supported Ecosystem to Deliver Deep Visibility and Insight for Hadoop Applications, Announces Driven 1.3

New Release Offers Advanced Team Collaboration, Support for Apache Hive, Cascading 3.0 and Apache Tez, Support for Hadoop Applications

ID: 1381094
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(businesspress24) - SAN FRANCISCO, CA -- (Marketwired) -- 08/25/15 -- , the leader in Big Data application infrastructure, today announced the latest release of , the industry''s leading application performance management product for monitoring and managing Hadoop applications. Driven is built to address the challenges of business-critical Big Data application development and deployment, delivering control and performance management for enterprises seeking to achieve operational excellence on Hadoop.

Driven offers enterprise users -- developers, operations and lines of business -- unprecedented visibility into applications written in Cascading, Scalding, Cascalog, Apache Hive and MapReduce. It provides deep operational insights, search, segmentation and visualizations for rapid troubleshooting and performance management. To achieve this, Driven collects rich operational metadata in a scalable data repository, enabling users to isolate, control and report on almost any topic relevant to their business, such as application SLAs, KPIs and data lineage.

The latest version of Driven includes:

Customizable application views include key statistics about application performance over time. This new enhancement also includes anomaly detection -- the ability to go back in time to determine when the anomaly happened and view the current environment to define the cause of the problem.

This ability to share a created customized analytic, application or status view ensures that teams are referencing the same data when troubleshooting a problem. When sharing the view, users can select whether to share only with other teams members or with any individual.

Users now have the option to set SLA thresholds and alerting. For example, users can set duration thresholds to report on all applications that exceed their allotted run-time.

: Driven now supports Apache Hive and MapReduce. With Driven''s agent technology, enterprises can seamlessly and transparently collect all the operational intelligence for Apache Hive and MapReduce jobs and tasks, delivering all the rich capabilities and operational analytics offered by Driven.

This new support enables Cascading 3.0 users to leverage all the capabilities of Driven to manage and monitor applications running on multiple compute fabrics.

Driven is a proven performance management solution that enterprises can rely on to deliver against their data strategies. Benefits of Driven include accelerated application development cycles, immediate application failure diagnosis, improved application performance, easier audit reporting and reduced cluster utilization costs.

Driven can be accessed now for free at .

"Enterprise needs have not changed, and as Hadoop pushes further into the mainstream, running business critical data processes has challenges. Enterprises are grappling with basic visibility, data governance, compliance and performance management. Driven arms enterprises with the right solution to deliver against their big data strategies and move plans forward."


-- Gary Nakamura, CEO, Concurrent, Inc.

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Concurrent, Inc. is the leader in 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 500,000 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 .

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



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concurrent, cascading, driven, big-data, mapreduce, apache, apache-hive, application, hadoop,



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published by: Marketwired
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Date: 08/25/2015 - 13:01
Language: English
News-ID 1381094
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Firma: Concurrent, Inc.
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Stadt: SAN FRANCISCO, CA
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