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What Is True In-Memory?

by Svetlana Sicular  |  November 26, 2012  |  Comments Off on What Is True In-Memory?

Database benchmarks early this millennium were secretly prophetic. Everybody who could read beyond a first paragraph of any benchmark’s write-up was chuckling :  “They ran it in memory,” as if database vendors were cheating. And maybe, they were.  All of them. So when everybody is cheating – it is not cheating, it is a game by new rules.  Now, a decade or so later, in-memory computing goes beyond the steroid benchmarks and becomes available to the masses.   A debate over dead bodies [of work] of those who were not cheating is morphing to a question “What is true in-memory?”

This question becomes contagious and affects not only database vendors but other humans too.  Life-loggers, who are using technology instead of their own memory, are cheating also: they log everything about their lives, they remember things differently or, rather, do not have to remember much but just know how to search.  I’ve been thinking about whether it makes sense to record everything versus simply live here and now. Is life-logging memory a luggage or a gear? How much does it help to move forward rather than get stuck in a recursive look backward? I don’t know. I falter where I firmly trod, Tennyson, ‘In Memoriam,’ the poem, most known for the lines ‘Tis better to have loved and lost / Than never to have loved at all.

People who lost their loved ones, experience a temporary memory loss.  My theory is that it happens, because there is no reason to remember when there is no one to share your memory with.  Perhaps, in-memory databases are for those who want to live and share, and non in-memory – for those who lost. And with the memory loss being temporary, non in-memory databases soon will become in-memory if they want to survive in the future and keep living.  As for life-logging, what is it philosophically – the future or the loss? Is it in-memory or on disk?

Category: big-data  data  data-paprazzi  in-memory  innovation  inquire-within  life-logging  nosql  

Tags: big-data  data-paprazzi  information-everywhere  pseudo-tweets  search  

Svetlana Sicular
Research VP
6 years at Gartner
23 years IT industry

Svetlana Sicular is passionate about bringing analytics to domain experts and helping organizations successfully compete by applying their business acumen in analytics and data science. She is convinced that domain expertise and high-value data are the greatest assets that companies should monetize in new analytics applications. Read Full Bio

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