This New York Hadoop User Group talk will investigate the trade-offs between real-time transactional access and fast analytic performance from the perspective of storage engine internals. We will discuss recent advances from academic literature and commercial systems, evaluate benchmark results from current generation Hadoop technologies, and propose potential ways ahead for the Hadoop ecosystem to conquer its newest set of challenges. Speaker: Todd Lipcon is a Software Engineer at Cloudera and a PMC member of the Apache Hadoop and Apache HBase projects. He holds a Sc.B in computer science from Brown University, where he completed an honors thesis developing a new collaborative filtering algorithm for the Netflix Prize Competition. Todd interned at Google, where he developed machine learning methods to detect credit card fraud on AdWords and Google Checkout. All are welcome!