Title: Emerging data management tools and the future of databases

Abstract:

Stonebraker claimed a few years ago that "one size no longer fits all"  
in database management. Since then, this maxim has been proven true  
repeatedly. New techniques for data storage, query and processing have  
emerged and gained traction recently. Techniques including distributed  
key-value stores (SimpleDB and its analogues), columnar storage  
(Vertica and others) and MapReduce (Hadoop and proprietary versions)  
are now used to solve problems that would formerly have been the  
domain of conventional RDBMS products.

How do these new technologies relate to one another, and to  
traditional RDBMS offerings? Will old-style database systems expand to  
include these techniques, or will the technical landscape continue to  
fragment as special-purpose systems emerge for specific workloads?

Mike Stonebraker and Mike Olson have collaborated on projects  
including Postgres and Illustra. Lately, each has taken a stake in  
these emerging systems: Stonebraker in columnar storage with Vertica  
and Olson with Hadoop at Cloudera. We will discuss them, their  
similarities and their differences, and will talk about the likely  
future for data management.