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Date: Mon, 1 Jun 2015 14:29:30 -0700
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Subject: Re: Hbase vs Cassandra
From: Vladimir Rodionov <vladrodionov@gmail.com>
To: "user@hbase.apache.org" <user@hbase.apache.org>
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>> The key issue is that unless you need or want to use Hadoop, you
shouldn=E2=80=99t be using HBase. Its not a stand alone product or system.

Hello, what is use case of a big data application w/o Hadoop?

-Vlad

On Mon, Jun 1, 2015 at 2:26 PM, Michael Segel <michael_segel@hotmail.com>
wrote:

> Saying Ambari rules is like saying that you like to drink MD 20/20 and
> calling it a fine wine.
>
> Sorry to all the Hortonworks guys but Amabari has a long way to go=E2=80=
=A6. very
> immature.
>
> What that has to do with Cassandra vs HBase? I haven=E2=80=99t a clue.
>
> The key issue is that unless you need or want to use Hadoop, you shouldn=
=E2=80=99t
> be using HBase. Its not a stand alone product or system.
>
>
>
>
> > On May 30, 2015, at 7:40 AM, Serega Sheypak <serega.sheypak@gmail.com>
> wrote:
> >
> > 1. No killer features comparing to hbase
> > 2.terrible!!! Ambari/cloudera manager rulezzz. Netflix has its own tool
> for
> > Cassandra but it doesn't support vnodes.
> > 3. Rumors say it fast when it works;) the reason- it can silently drop
> data
> > you try to write.
> > 4. Timeseries is a nightmare. The easiest approach is just replicate da=
ta
> > to hdfs, partition it by hour/day and run spark/scalding/pig/hive/Impal=
a
> >
> > =D0=BF=D1=8F=D1=82=D0=BD=D0=B8=D1=86=D0=B0, 29 =D0=BC=D0=B0=D1=8F 2015 =
=D0=B3. =D0=BF=D0=BE=D0=BB=D1=8C=D0=B7=D0=BE=D0=B2=D0=B0=D1=82=D0=B5=D0=BB=
=D1=8C Ajay =D0=BD=D0=B0=D0=BF=D0=B8=D1=81=D0=B0=D0=BB:
> >
> >> Hi,
> >>
> >> I need some info on Hbase vs Cassandra as a data store (in general plu=
s
> >> specific to time series data).
> >>
> >> The comparison in the following helps:
> >> 1: features
> >> 2: deployment and monitoring
> >> 3: performance
> >> 4: anything else
> >>
> >> Thanks
> >> Ajay
> >>
>
>

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