Cloud Data Management

We are investigating technologies to maximize efficiency with in-memory data services, in-situ query processing on streamed data, and on-demand query engine customization using multi-objective compiler optimization.

 

BrainDB
Efficient big data management for scientific applications
Clock-SI
Fully distributed snapshot isolation for partitioned data stores
image: Project DB Toaster DBToaster
Generating DBMS engines for high-performance data processing
NoDB
Minimizing data-to-query time for the era of data deluge
PlanetData
Could organizations expose their data in new and useful ways?
StagedDB
Designing high performance DBMS that are easy to tune and maintain