blocks|key|1029956|text|MongoDB站点上提到了一些很棒的用例--至少是MongoDB的用例。给出的例子是实时分析、日志记录和全文搜索。这些文章都非常值得一读http://www.mongodb.com/use-cases|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|1029957|关于哪种NoSQL数据库最适合哪种类型的项目，还有一篇很棒的文章：http://kkovacs.eu/cassandra-vs-mongodb-vs-couchdb-vs-redis|1029958|entityMap|0|LINK|mutability|MUTABLE|url|http://www.mongodb.com/use-cases|1|http://kkovacs.eu/cassandra-vs-mongodb-vs-couchdb-vs-redis^0|1W|W|0|0|X|1M|1|0^^$0|@$1|2|3|4|5|6|7|P|8|@]|9|@$A|Q|B|R|1|S]]|C|$]]|$1|D|3|E|5|6|7|T|8|@]|9|@$A|U|B|V|1|W]]|C|$]]|$1|F|3|-4|5|6|7|X|8|@]|9|@]|C|$]]]|G|$H|$5|I|J|K|C|$L|M]]|N|$5|I|J|K|C|$L|O]]]]

Some great use-cases - for MongoDB anyway - are mentioned on the MongoDB site. The examples given are real-time analytics, Logging and Full Text search. These articles are all well worth a read <a href="http://www.mongodb.com/use-cases" rel="noreferrer">http://www.mongodb.com/use-cases</a>

There's also a great write-up on which NoSQL database is best suited to which type of project: <a href="http://kkovacs.eu/cassandra-vs-mongodb-vs-couchdb-vs-redis" rel="noreferrer">http://kkovacs.eu/cassandra-vs-mongodb-vs-couchdb-vs-redis</a>

blocks|key|1029927|text|我推荐Rick+Cattell写的这篇关于杂项数据存储的文章。NoSQL)，它们之间的差异以及它们的一些用例：http://www.cattell.net/datastores/index.html|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|1029928|entityMap|0|LINK|mutability|MUTABLE|url|http://www.cattell.net/datastores/index.html^0|1J|18|0|0^^$0|@$1|2|3|4|5|6|7|L|8|@]|9|@$A|M|B|N|1|O]]|C|$]]|$1|D|3|-4|5|6|7|P|8|@]|9|@]|C|$]]]|E|$F|$5|G|H|I|C|$J|K]]]]

I'd suggest this article by Rick Cattell about miscellaneous data stores (a.k.a. NoSQL), their differences and some of their use-cases: <a href="http://www.cattell.net/datastores/index.html" rel="noreferrer">http://www.cattell.net/datastores/index.html</a>

blocks|key|1029870|text|我喜欢NoSQL的地方与性能无关，而完全与可用性有关。当原子数据单元类似于文档时，文档存储更容易使用，因为它很容易序列化到对象和从对象序列化。它只是更有趣，这对于个人或副业来说是一个重要的因素。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1029871|entityMap^0|0^^$0|@$1|2|3|4|5|6|7|D|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|E|8|@]|9|@]|A|$]]]|C|$]]

What I like about NoSQL has nothing to do with performance and everything to do with usability. Document stores are just easier to work with when your atomic data units are document-like, because it's trivial to serialize to and from objects. It's just more fun, and that's an important factor for personal or side projects.

blocks|key|1029991|text|对于您需要的一些用例，特别是对于分析查询，您可以使用Postgres中的this+wrapper在MongoDB上运行SQL查询。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|1029992|entityMap|0|LINK|mutability|MUTABLE|url|https://github.com/citusdata/mongo_fwd^0|10|C|0|0^^$0|@$1|2|3|4|5|6|7|L|8|@]|9|@$A|M|B|N|1|O]]|C|$]]|$1|D|3|-4|5|6|7|P|8|@]|9|@]|C|$]]]|E|$F|$5|G|H|I|C|$J|K]]]]

For some use cases you need, especially for analytic queries you can run SQL queries on MongoDB with <a href="https://github.com/citusdata/mongo_fwd" rel="nofollow">this wrapper</a> from Postgres.

blocks|key|1244980|text|因为现在市场上的NoSQL数据库比以往任何时候都多，所以如果您正在寻找一种对基于支持、可扩展性、管理和成本的企业应用程序也很有用的数据库，我建议您看看Gartner魔力象限。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1244981|http://www.gartner.com/technology/reprints.do?id=1-23A415Q&ct=141020&st=sb|offset|length|1244982|我建议还没有尝试过Couchbase的任何人，但不是基于报告(2.5.1)中显示的版本，因为它比CB+Server今天的版本晚了近2个版本，接近于2015年下半年发布4.0。|1244983|http://www.couchbase.com/coming-in-couchbase-server-4-0|1244984|Couchbase作为供应商/产品的另一部分是它是一种多用途类型的DB。它可以充当纯K/V存储、具有多维缩放功能的面向文档的数据库、Memcached、具有持久性的缓存，并支持符合ANSI+92标准的SQL，支持自动联接，只需按一下按钮即可复制到灾难恢复群集，甚至在生态系统中内置了移动组件。|1244985|如果没有其他东西，那么看看最新的基准测试是值得的：|1244986|http://info.couchbase.com/Benchmark_MongoDB_VS_CouchbaseServer_HPW_BM.html+http://info.couchbase.com/NoSQL-Technical-Comparison-Report.html|1244987|entityMap|0|LINK|mutability|MUTABLE|url|1|2|http://info.couchbase.com/Benchmark_MongoDB_VS_CouchbaseServer_HPW_BM.html|3|http://info.couchbase.com/NoSQL-Technical-Comparison-Report.html^0|0|0|22|0|0|0|0|1J|1|0|0|0|0|22|2|23|1S|3|0^^$0|@$1|2|3|4|5|6|7|11|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|12|8|@]|9|@$D|13|E|14|1|15]]|A|$]]|$1|F|3|G|5|6|7|16|8|@]|9|@]|A|$]]|$1|H|3|I|5|6|7|17|8|@]|9|@$D|18|E|19|1|1A]]|A|$]]|$1|J|3|K|5|6|7|1B|8|@]|9|@]|A|$]]|$1|L|3|M|5|6|7|1C|8|@]|9|@]|A|$]]|$1|N|3|O|5|6|7|1D|8|@]|9|@$D|1E|E|1F|1|1G]|$D|1H|E|1I|1|1J]]|A|$]]|$1|P|3|-4|5|6|7|1K|8|@]|9|@]|A|$]]]|Q|$R|$5|S|T|U|A|$V|C]]|W|$5|S|T|U|A|$V|I]]|X|$5|S|T|U|A|$V|Y]]|Z|$5|S|T|U|A|$V|10]]]]

Because there are now many more NoSQL databases on the market than ever before, I suggest having a look at the Gartner Magic Quadrant if you're looking for a database that will also be great for enterprise applications based on support, expandability, management, and cost. 

<a href="http://www.gartner.com/technology/reprints.do?id=1-23A415Q&amp;ct=141020&amp;st=sb" rel="nofollow">http://www.gartner.com/technology/reprints.do?id=1-23A415Q&amp;ct=141020&amp;st=sb</a>

I would like to suggest Couchbase to anyone who's not tried it yet, but not based on the version that is shown in the report (2.5.1) because it is nearly 2 revisions behind where CB Server is today, nearing release of 4.0 in 2H15.

<a href="http://www.couchbase.com/coming-in-couchbase-server-4-0" rel="nofollow">http://www.couchbase.com/coming-in-couchbase-server-4-0</a>

The other part about Couchbase as a vendor/product is that it is a multi-use type of DB. It can act as a pure K/V store, Document Oriented Database with multi-dimensional scaling, Memcached, cache-aside with persistence, and supports ANSI 92 compliant SQL with automatic joins, replication to DR clusters with the push of a button, and even has a mobile component built-in to the ecosystem.

If nothing else, it's worth checking out the latest benchmarks:

<a href="http://info.couchbase.com/Benchmark_MongoDB_VS_CouchbaseServer_HPW_BM.html" rel="nofollow">http://info.couchbase.com/Benchmark_MongoDB_VS_CouchbaseServer_HPW_BM.html</a>
<a href="http://info.couchbase.com/NoSQL-Technical-Comparison-Report.html" rel="nofollow">http://info.couchbase.com/NoSQL-Technical-Comparison-Report.html</a>

NoSQL has been getting a lot of attention in our industry recently. I'm really interested in what peoples thoughts are on the best use-cases for its use over relational database storage. What should trigger a developer into thinking that particular datasets are more suited to a NoSQL solution. I'm particularly interested in <a href="http://www.mongodb.org/" rel="noreferrer">MongoDB</a> and <a href="http://couchdb.apache.org/" rel="noreferrer">CouchDB</a> as they seem to be getting the most coverage with regard to PHP development and that is my focus.

Use cases for NoSQL

数据存储

SQL数据库

数据库

Couchbase

MongoDB

NoSQL

NoSQL最近在我们的行业中得到了很大的关注。我真的很感兴趣的是，人们对它相对于关系数据库存储的最佳用例有什么看法。什么应该促使开发人员认为特定的数据集更适合NoSQL解决方案。我对和特别感兴趣，因为它们似乎在PHP开发方面获得了最多的报道，这也是我的关注点。

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