Splice Machine SQL Database Scales On Hadoop - InformationWeek

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Splice Machine SQL Database Scales On Hadoop
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D. Henschen
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D. Henschen,
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5/19/2014 | 4:49:47 PM
Cloudera or MapR: Harte Hanks Considers its options
It's interesting to note that Harte Hanks -- the Splice Machine customer interviewed for this article -- hasn't yet settled on Cloudera for the long term. Harte Hanks needs dedicated database instances of Splice Machine for each customer, so it needs separate instances. On Cloudera it has to be separate physical instances, but on MapR it could be virtual instances.

"Cloudera uses more of the open source stack and fewer proprietary pieces than MapR," said Harte Hank's Robert Fuller, explaining his initial choice of Cloudera. "MapR now promises to support all of the open source pieces of Hadoop but at the same time their proprietary piece offer substantial benefits."

MapR has invested heavily in multi-tenancy, for example, Fuller explained. In Cloudera or Hortonworks, you have to tune the cluster to your applications, but you have to do it cluster-wide. "MapR has done a lot of work to make those settings shardable within the cluster, so you can make certain servers run in one configuration and others in a different configuration," Fuller said.

Harte Hanks is only talking to MapR at this point, and it would have to prove that a Splice Machine deployment running on MapR could run all of Harte Hank's software and give it virtual cloud deployment flexibility.


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