Trends Report

SQL-For-Hadoop: 14 Capable Solutions Reviewed

SQL Is The Fastest, Easiest Way To Get Value From Relational Data In Hadoop

August 3rd, 2015
With contributors:
Boris Evelson , Elizabeth Cullen , Holger Kisker, Ph.D. , Ian McPherson


There's a new dynamic duo in big data town: SQL and Hadoop. If you think this an unlikely combination, think twice. Enterprises have gobs of structured and semi-structured data generated by all sorts of transactional applications, and SQL is still the best option for querying it. Much of that data is increasingly finding its way into Hadoop clusters for analytics because of its versatility and the economical, linear scalability of both data storage and compute. In this report, Forrester has identified and reviewed open source and commercial SQL engines for Hadoop to help application and development and delivery (AD&D) professionals learn about the maturity and sweet spot for each and choose the best for their enterprise's needs. You may need to choose more than one to satisfy all of your requirements.

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