Cloud Data Management

Data is growing at a much faster rate than conventional improvements from technology requiring out-of-the-box solutions to 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

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

X-Stream

Enabling analytics on big graphs using small clusters of machines