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Michael Ralph Stonebraker (born October 11, 1943 [6]) is an American computer scientist specializing in database systems. Through a series of academic prototypes and commercial startups, Stonebraker's research and products are central to many relational databases .
Stonebraker claims a variety of security benefits, from a "smaller, less porous attack surface", to the ability to log and analyze how the system state changes in real-time due to the transactional nature of the OS. [1] Recovery from a severe bug or an attack can be as simple as rolling back the database to a previous state.
[1] [2] Vertica was founded in 2005 by the database researcher Michael Stonebraker with Andrew Palmer as the founding CEO. Ralph Breslauer and Christopher P. Lynch served as CEOs later on. Lynch joined as Chairman and CEO in 2010 and was responsible for Vertica's acquisition by Hewlett Packard in March 2011.
Volt Active Data (formerly VoltDB) is an in-memory database designed by Michael Stonebraker, Sam Madden, and Daniel Abadi. It is an ACID-compliant RDBMS that uses a shared-nothing architecture, and is derived from work done by Stonebraker on OLTP system performance [1] and optimization. [2] It is available in both enterprise and community editions.
Illustra was a commercialized version of the Postgres object-relational database management system sold by Illustra Information Technologies, a company founded in 1992 and formed by Michael Stonebraker, Gary Morgenthaler and several of Michael Stonebraker's current and former students including: Wei Hong, Jeff Meredith, Michael Olson, Paula Hawthorn, Jeff Anton, Cimarron Taylor and Michael Ubell.
Michael Stonebraker returned to Berkeley in 1985, and began a post-Ingres project to address the problems with contemporary database systems that had become increasingly clear during the early 1980s. 1987 GCC: Written by Richard Stallman with contributions from others as the C compiler for the GNU Project. Later the project would be known as ...
The Language Learning Centre, established in July 2021, is a place for editors who may frequently translate articles from other Wikipedias and use a variety of different languages sources to develop their skills so that they can at least improve their understanding of text on another language Wikipedia and not solely rely on automated translation.
QUEL is a relational database query language, based on tuple relational calculus, with some similarities to SQL.It was created as a part of the Ingres DBMS effort at University of California, Berkeley, based on Codd's earlier suggested but not implemented Data Sub-Language ALPHA.