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From Jiayu Ji <jiayu...@gmail.com>
Subject Re: Hadoop vs Ceph and GlusterFS
Date Tue, 31 Dec 2013 21:01:19 GMT
I am not very familiar with Ceph and GlusterFS, but I know they are
centralized file systems. In this kinds of FS, compute nodes and the
storage nodes are separated. If the size of your data increases, the
network may eventually become the bottleneck.

Hadoop is a framework includes storage (HDFS) and computation (MapReduce).
It aims to bring the computation power to the storage node. In this case,
it assigns tasks to where the data is stored due to its awareness of the
data locality. Also, if the size of data increases, you can add more nodes
to the cluster. By doing that, you achieve almost linear scalability.

On Sat, Dec 28, 2013 at 1:26 PM, Kurt Moesky <kurtmoesky@gmail.com> wrote:

> Hi Charles,
> That is actually what we're doing, comparing the Hadoop file system to
> Ceph and GlusterFS. Just looking for some input from the field as that what
> you experts see as the strengths of HDFS over Ceph and GlusterFS.
> Thanks,
> Kurt
> On Sat, Dec 28, 2013 at 11:42 AM, Charles Earl <charles.cearl@gmail.com>wrote:
>> Would it not be better to compare HDFS as the others are distributed file
>> systems?
>> Charles
>> On Dec 28, 2013, at 1:40 PM, Kurt Moesky <kurtmoesky@gmail.com> wrote:
>> > Hi guys,
>> >
>> > I am working on a write-up of Hadoop, Ceph and GlusterFS and was
>> wondering if you could chime in with some benefits of Hadoop over the other
>> two?
>> >
>> > I know Hadoop is widely used by the likes of Yahoo and Facebook.
>> >
>> > Are there benefits in scaling, management (I like the Ambari interface)
>> etc?
>> >
>> > Thanks.

Jiayu (James) Ji,

Cell: (312)823-7393

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