Press Releases

Press Releases

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  SAN FRANCISCO – Aug. 25, 2015 – Concurrent, Inc., the leader in Big Data application infrastructure, today announced the latest release of Driven, the industry’s leading application performance management product for monitoring and managing Hadoop applications. Driven
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Concurrent, Inc. and Analytics Inside Partner to Deliver Practical Solutions to Help Enterprises Leverage Data

  Companies Collaborate to Strip Hype from Big Data to Deliver Solutions with Tangible Value to Enterprise Customers SAN FRANCISCO and WESTERVILLE, OHIO – June 30, 2015 – Concurrent, Inc., the leader in data application infrastructure, and Analytics Inside LLC, a company that specializes in advanced analytical solutions for intelligence, law enforcement and healthcare, today announced
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Concurrent, Inc. and BitWise Inc. Partner to Bring ETL to the Big Data Era

BitWise joins the Concurrent Partner Program to Allow Quick, Easy and Cost-Effective Data Migration to Customers to Benefit from Hadoop Investments SAN FRANCISCO – June 15, 2015 – Concurrent, Inc., the leader in data application infrastructure, and BitWise Inc., a global, end-to-end software consulting organization providing guaranteed, efficient and cost-effective service, today announced a strategic
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Concurrent, Inc. Continues to Lead the Market for Data-Driven Enterprise Application Development on Hadoop, Announces General Availability of Newest Cascading Version

Cascading 3.0 Supports Multiple Compute Fabrics for Running Enterprise Data Applications at the Speed of Business  SAN FRANCISCO – June 9, 2015 – Concurrent, Inc., the leader in data application infrastructure, today announced the general availability of Cascading 3.0, the most widely used application platform for building and deploying enterprise data applications on Apache Hadoop.
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