Most relational databases are still optimizing for I/O while the world grapples with powerful machines that come with lots of memory, fast SSD arrays, and hundreds of underutilized cores. It is not uncommon to find data systems on machines with more memory than the total size of the data. Software innovations, such as column-store and compression techniques, have only served to exacerbate the imbalance.
In view of the new landscape, we created Vitesse Engine — a robust data processing kernel designed to unleash the power of modern x86 CPUs. By fastening Vitesse Engine onto open source databases, we formulate supercharged solutions that are many times more performant, and yet, retain 100% compatibility with the open source projects.
Vitesse Data is now a venture-funded start-up with presence in three continents. We are interested in working with you to provide speedy access to your data so it could deliver more value. Come talk to us!
ceo / founder
CK was Director of Data Services at Elance-oDesk where he ran the database group. Prior to that, he was Sr Architect at Greenplum. Early in his career, CK worked on MPP database at Informix XPS. Before Informix, he worked as a research staff at UW-Madison Computer Science Department.
cto / founder
Feng was an early engineer at Datrium. Before that, he led the database-as-a-service project in VMware. Along with CK, Feng was also at Greenplum during the early formative days as Sr Engineer. Prior to Greenplum, he worked on Microsoft SQL Server. Feng holds a PhD in computer science from UW-Madison.
advisor
Joe is Trifacta’s Chief Strategy Officer and a Professor of Computer Science at Berkeley. His career in research and industry has focused on data-centric systems and the way they drive computing. In 2010, Fortune Magazine included him in their list of 50 smartest people in technology, and MIT Technology Review magazine included his Bloom language for cloud computing on their TR10 list of the 10 technologies “most likely to change our world”.
advisor
Beng Chin is a Distinguished Professor of Computer Science, NGS faculty member and Director of Smart Systems Institute (SSI@NUS) at the National University of Singapore (NUS), an adjunct Chang Jiang Professor at Zhejiang University, China, and the director of NUS AI Innovation and Commercialization Centre at Suzhou, China. Beng Chin is a fellow of the ACM , IEEE, and Singapore National Academy of Science (SNAS). Recently, Beng Chin was awarded the 2020 ACM SIGMOD Edgar F. Codd Innovation Award for his innovative research and for devising and deploying innovative large-scale system to manage and analyze data.
