"KT provides semantic VOD search service for IPTV and various smart mobile devices using OWLIM as semantic repository. We found that BigOWLIM is suitable for our service, as it has shown good performance for its price compared with other products in the actual simulation tests. Best of all, OWLIM could be easily tested, installed and used thanks to open library, detailed guidelines, and lots of samples etc. By and large, our experience is that OWLIM is a very powerful and reliable high-performance semantic repository.”
“It’s quite hard to go to all EMBL (European Molecular Biology Laboratory) databases and pick out the relevant experimental data. The Target Discovery platform is quite helpful for getting meaningful insights from any information we are interested in.”

MarkLogic has delivered a powerful, agile and trusted Enterprise NoSQL database platform that enables organizations to turn all data into valuable and actionable information. Organizations around the world rely on MarkLogic’s enterprise-grade technology to power the new generation of information applications.
Clustrix is the leading scale out SQL database, engineered for the cloud. Clustrix provides a radically simple SQL database that enables applications to scale to unlimited users, transactions and data, while eliminating database sharding and automating fault tolerance. Clustrix software is in production both as an appliance and on Amazon Web Services with more than one trillion transactions per month running through Clustrix databases worldwide. Customers include Rakuten, CSC, Symantec, AOL, MakeMyTrip, Photobox, MedExpert, engage:BDR, AdScience, and Massive Media. Clustrix has its headquarters in San Francisco, with branch offices in Seattle and London.
Grasp Technologies, Inc is the leading provider of data management, visualization and payment solutions in the T&E industry. Initially founded to address the critical need for customized reporting and data management in the travel industry, we’ve held to our belief in helping our customers thrive and to succeed by transforming data into useful intelligence.










