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From Ted Yu <yuzhih...@gmail.com>
Subject Re: HDFS-based database for Big and Small data?
Date Sat, 03 Jan 2015 11:53:43 GMT
Can you give a few examples of why hbase is hard to use ?

Disclaimer: I work on hbase 

Cheers



> On Jan 3, 2015, at 12:28 AM, "bit1129@163.com" <bit1129@163.com> wrote:
> 
> 
> Hbase, a NoSQL database of the Hadoop family, is what you says   that is built upon HDFS,
but is there really strong reason that you would move from MongoDB to Hbase? Is your data
really that huge?
> 
> As far as I tell, Hbase is extremely hard to use, hard to maintain as well. If I standood
in your position, I would choose MongoDB with no hesitate
> 
> bit1129@163.com
>  
> From: Alec Taylor
> Date: 2015-01-03 15:44
> To: user
> Subject: HDFS-based database for Big and Small data?
> Want to replace MongoDB with an HDFS-based database in my architecture.
>  
> Note that this is a new system, not a rewrite of an old one.
>  
> Are there any open-source "fast" read/write database built on HDFS
> with a model similar to a document-store, that can hold my regular
> business logic and enables an object model in Python? (E.g.: via Data
> Mapper or Active Record patterns)
>  
> Thanks for all suggestions
>  
> PS: I am using the "Big data" definition from Cloudera, i.e.: any data
> which expands more than one machine

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