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Date: Tue, 5 Jul 2016 18:55:18 -0700 (PDT)
From: vkulichenko <valentin.kulichenko@gmail.com>
To: user@ignite.apache.org
Message-ID: <1467770118195-6122.post@n6.nabble.com>
In-Reply-To: <1467712579496-6097.post@n6.nabble.com>
References: <1467712579496-6097.post@n6.nabble.com>
Subject: Re: Data Grid versus Compute Grid
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archived-at: Wed, 06 Jul 2016 02:12:03 -0000

Hi,

Can you please property subscribe to the mailing list so that the community
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Ramesh wrote
> I am unable to understand the motivation for a compute grid. Is it
> primarily for providing a clustered computing environment along with
> in-memory processing? In other words is there not a lot of overlap between
> the two grids?

Yes, Compute Grid is for high performant parallel processing and distributed
execution. Please refer to the documentation [1] and examples [2] for more
details.

Note that Compute Grid is highly integrated with Data Grid. For example, you
can route closures to the node where particular data is stored, avoiding
transferring large data objects across the network [3].

I'm not sure I understand what you mean by "overlap between the two grids".
Can you please clarify?

[1] https://apacheignite.readme.io/docs/compute-grid
[2]
https://github.com/apache/ignite/tree/master/examples/src/main/java/org/apache/ignite/examples/computegrid
[3] https://apacheignite.readme.io/docs/collocate-compute-and-data

-Val


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