Scientific Data Bases at Scale and SciDB
222-R-001 - Filtration Plant
As a general rule, scientists have shunned relational data management systems (RDBMS), choosing instead to “roll their own” on top of file system technology. We first discuss why file systems are a poor choice for science data storage, especially as data volumes become large and scalability becomes important.
Dr. Stonebraker has been a pioneer of data base research and technology for more than a quarter of a century. He was the main architect of the INGRES relational DBMS, and the object-relational DBMS, POSTGRES. These prototypes were developed at the University of California at Berkeley where Stonebraker was a Professor of Computer Science for twenty five years. More recently at M.I.T. he was a co-architect of the Aurora/Borealis stream processing engine, the C-Store column-oriented DBMS, and the H-Store transaction processing engine. Currently, he is working on science-oriented DBMSs, OLTP DBMSs, and scalable data curation. He is the founder of five venture-capital backed startups, which commercialized his prototypes. Presently he serves as Chief Technology Officer of VoltDB and Paradigm4, Inc.