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 semistructured 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 white paper, Forrester has identified and reviewed open source and commercial SQL engines for Hadoop to help application and development and delivery 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.
Key takeaways from this white paper include:
Sponsored by Hewlett Packard Enterprise
Individual, Student, and Team memberships available.