![]() While some of these products do "store" data in memory-resident data-bases - either relational or object-oriented - the tools are primarily designed to speed transaction processing and analytics, not to act as data repositories. ![]() Still others have found clever ways to sidestep much of the overhead - such as table locking - associated with the traditional RDBMS. Others are more radical departures from tradition, such as "streaming" technologies that store queries and pass data through them rather than run queries against stored data. Some of the new products simply move the action from disk to memory, where access is a million times faster. ![]()
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