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问题描述

我一直在寻找了很长时间(灵感来自谷歌的Bigtable)的云计算/存储解决方案。但我找不到一个易于使用,业务就绪的解决方案。

I have been looking for cloud computing / storage solutions for a long time (inspired by the Google Bigtable). But I can't find a easy-to-use, business-ready solution.

我在寻找一个简单的,容错,从亚马逊的分布式密钥=>价值DB像SimpleDB的。

I'm searching a simple, fault tolerant, distributed Key=>Value DB like SimpleDB from Amazon.

我已经看到了这样的话:

I've seen things like:

  1. CouchDB的计划:简单和分布式,容错的数据库。但它理解只JSON。没有XML连接器等。
  2. 桉树:尼斯亚马逊EC2接口。开放标准和放大器; XML。但分布较少和容错能力?也有很多开放的门票与XEN / VMWare的问题。
  3. Cloudstore / Kosmosfs :宽容尼斯分布,故障FS。但它很难配置。是否有任何Java连接器?
  4. 的Apache Hadoop的:好的制度,更然后才能来存储数据。使用它自己的Hadoop分布式文件系统,并已testet在集群节点2000
  5. * 亚马逊的SimpleDB :无法找到一个开源的替代!这是一个很好的,但昂贵的系统,海量数据。而你沉迷于亚马逊。
  1. The CouchDB Project : Simple and distributed, fault-tolerant Database. But it understands only JSON. No XML connectors etc.
  2. Eucalyptus : Nice Amazon EC2 interfaces. Open Standards & XML. But less distributed and less fault-tolerant? There are also a lot of open tickets with XEN/VMWare issues.
  3. Cloudstore / Kosmosfs : Nice distributed, fault tolerant fs. But it's hard to configure. Are there any java connectors?
  4. Apache Hadoop : Nice system which much more then abilities to store data. Uses its own Hadoop Distributed File System and has been testet on clusters with 2000 nodes.
  5. *Amazon SimpleDB : Can't find an open-source alternative! It's a nice but expensive system for huge amounts of data. And you're addicted to Amazon.

还有没有其他的,更好的解决方案了吗?哪一个是最好的选择呢?哪一个提供SOF的最小量(故障的辛格点)?

Are there other, better solutions out there? Which one is the best to choose? Which one offers the smallest amount of SOF(Singe Point of Failure)?

推荐答案

的MongoDB 是另一种选择,这是非常相似的CouchDB,但使用查询语言非常类似于SQL代替的map / reduce在JavaScript中。它还支持索引,查询分析,复制和存储二进制数据。

MongoDB is another option which is very similar to CouchDB, but using query language very similar to SQL instead of map/reduce in JavaScript. It also supports indexes, query profiling, replication and storage of binary data.

它有大量的文档,这可能是铺天盖地的拳头,所以我会建议开始的

It has huge amount of documentation which might be overwhelming at fist, so I would suggest to start with Developer's tour

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09-27 02:34