SAP HANA: Not The Only In-Memory Game In Town - InformationWeek

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SAP HANA: Not The Only In-Memory Game In Town
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HamadS
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HamadS,
User Rank: Apprentice
10/14/2015 | 11:22:20 AM
Reliability of In-Memory is key to successful implementations
While there are great performance gains in using in-memory databases, there is a significant requirement of reliable power availability. Most of the planet does not have better than 95% power availability, and a single power outage can wipe your entire database out. Not only does the power need to be ON all the time, it also must not vary more than a given amount. A recovery from backup often results in lost transactions. So, before any in-memory database implementations take place, it is key to allocate large Power battery backup's that can shield your servers from a power loss or at least dump the database to disk drives and shut down the servers amicably. Large server farms often make use of solar and fuel based power generators backed up by huge battery banks. These add significant costs to such implementations.
Blog Voyage
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Blog Voyage,
User Rank: Strategist
7/6/2015 | 2:41:51 AM
Re: In-memory database started with TPF
Thanks for the precision mates !
Curt Franklin
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50%
Curt Franklin,
User Rank: Strategist
6/4/2015 | 2:07:27 PM
Re: In-memory database started with TPF
@Charlie, you're right -- "in-memory computing" is, like so much of today's enterprise computing, built on a mainframe foundation. There are a couple of big differences, though: One is the sheer size of the databases involved. The other is that, as you point out, in the 70s the in-memory architecture was all about supporting transaction speed. Today, it's as much about analytics as transactions, and that's a pretty big deal.
Charlie Babcock
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Charlie Babcock,
User Rank: Author
5/28/2015 | 6:08:11 PM
In-memory database started with TPF
The original high speed, in-memory system is not a recent phenomenon but IBM's Transaction Processing Facility, or TPF, used in the first airline reservation systems to speed response times to customers. It was first fired up in 1979, or before the birth of some of today's NoSQL experts. 


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