in-memory database

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in-memory database

Storing the contents of a database in main memory rather than on disk. Since memory (RAM) is considerably faster than a hard disk or even a solid state disk, complex decision support queries can be satisfied much more rapidly, and high-end computers can be configured with terabytes of memory. However, memory can fail due to power outages and component breakdown; therefore, snapshots are taken periodically and saved to permanent disk storage. See SAP HANA and RAM disk.

In Time, It Will Merge
At some point in the future, perhaps 10 or 20 years from now, main memory and disk storage will merge into one "memory/storage" pool as all storage will be addressable like DRAM memory but will be non-volatile. See future memory chips.
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For nearly two decades, Altibase has been perfecting its expertise in In-Memory computing to be the leading In- Memory Database vendor in the world.
Meanwhile Angara Database Systems Inc, the main memory database company commercializing research work originally carried out at Stanford University, said its Angara Data Server is now generally available.
Extensive worldwide interest in new main memory database technology has led the Hasso Plattner Institute (HPI) to offer a further open online course on this topic.
Main memory database technology has garnered an impressive amount of interest," said the HPI founder.
But TimesTen is now facing direct competition from Palo Alto, California-based Angara Database Systems Inc, a main memory database company formed from a Stanford University research effort.
An in memory database stores information in internal core memory.
TRADOS TM Server is a high-performance central translation memory database server that can be accessed simultaneously by 100's of translators and enables corporations to maintain extremely large translation memory databases.
Glossaries help translators better understand your company's products and marketing concepts; they also serve as the foundation for translation memory databases.
She asserts that in the past 10 years, many companies have accumulated high quality translation memory databases that could enable the rapid customization of their translations if the Language Weaver technology is tuned to the unique requirements of the company.