Tracing Stars with MonetDB in the Cloud

The Dutch database technology company MonetDB Solutions and CWI will develop new techniques to facilitate the storage and analysis of the vast data volumes from the Square Kilometre Array (SKA) telescope. The …

Hannes Mühleisen in media about insecure wifi in trains

Hannes Mühleisen, a postdoc researcher at CWI, recently found that he could see too much information from the wifi network in NS trains, which are passing close by his home - a …

Veni grants for Daniel Dadush and Hannes Mühleisen

The Netherlands Organisation for Scientific Research (NWO) has awarded Veni grants to Daniel Dadush and Hannes Mühleisen of CWI. The funding allows these researchers, who have recently obtained their PhD, to conduct …

Big Data at High Performance

Computer hardware systems have evolved from monolithic machines in which each component performed one specific task, to complex systems with a wide range of heterogeneous components such as spinning disks, SSDs, RAM, …

CWI spin-off MonetDB Solutions teams up with Numascale

CWI spin-off company MonetDB Solutions and the Norwegian appliance company Numascale have joined forces to develop database appliances that enable companies and organizations to perform easier and more affordable big data analytics.

Stefan Manegold appointed professor at Leiden University

Starting from 15 September 2014, Stefan Manegold, of the Centrum Wiskunde & Informatica (CWI) in Amsterdam, has been appointed Professor for Data Management at the Faculty of Science of Leiden University.

International innovation award to Martin Kersten

Martin Kersten, Research fellow at the Centrum Wiskunde & Informatica (CWI) is awarded the 2014 SIGMOD Edgar F. Codd Innovations Award, the most prestigious prize for researchers who have made innovative and …

Database Indexes for the Big Data Era

Researchers of Centrum Wiskunde & Informatica (CWI) in Amsterdam have developed new methods to index huge databases. These space efficient indexes are lightweight to build and maintain and grow less than linear …