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@ -1010,7 +1010,7 @@ Googleは[Bigtable](http://www.read.seas.harvard.edu/~kohler/class/cs239-w08/cha
* [HBase アーキテクチャ](https://www.mapr.com/blog/in-depth-look-hbase-architecture) * [HBase アーキテクチャ](https://www.mapr.com/blog/in-depth-look-hbase-architecture)
* [Cassandra アーキテクチャ](http://docs.datastax.com/en/archived/cassandra/2.0/cassandra/architecture/architectureIntro_c.html) * [Cassandra アーキテクチャ](http://docs.datastax.com/en/archived/cassandra/2.0/cassandra/architecture/architectureIntro_c.html)
#### Graph database #### グラフデータベース
<p align="center"> <p align="center">
<img src="http://i.imgur.com/fNcl65g.png"> <img src="http://i.imgur.com/fNcl65g.png">
@ -1018,25 +1018,25 @@ Googleは[Bigtable](http://www.read.seas.harvard.edu/~kohler/class/cs239-w08/cha
<i><a href=https://en.wikipedia.org/wiki/File:GraphDatabase_PropertyGraph.png>Source: Graph database</a></i> <i><a href=https://en.wikipedia.org/wiki/File:GraphDatabase_PropertyGraph.png>Source: Graph database</a></i>
</p> </p>
> Abstraction: graph > 概要: グラフ
In a graph database, each node is a record and each arc is a relationship between two nodes. Graph databases are optimized to represent complex relationships with many foreign keys or many-to-many relationships. グラフデータベースでは、それぞれのノーどがレコードで、それぞれのアークは二つのノードを繋ぐ関係性として定義されます。グラフデータベースは多数の外部キーや多対多などの複雑な関係性を表すのに最適です。
Graphs databases offer high performance for data models with complex relationships, such as a social network. They are relatively new and are not yet widely-used; it might be more difficult to find development tools and resources. Many graphs can only be accessed with [REST APIs](#representational-state-transfer-rest). グラフデータベースはSNSなどのサービスの複雑な関係性モデルなどについて高いパフォーマンスを発揮します。比較的新しく、まだ一般的には用いられていないので、開発ツールやリソースを探すのが他の方法に比べて難しいかもしれません。多くのグラフは[REST APIs](#representational-state-transfer-rest)を通じてのみアクセスできます。
##### Source(s) and further reading: graph ##### その他の参考資料、ページ: グラフ
* [Graph database](https://en.wikipedia.org/wiki/Graph_database) * [Graphデータベース](https://en.wikipedia.org/wiki/Graph_database)
* [Neo4j](https://neo4j.com/) * [Neo4j](https://neo4j.com/)
* [FlockDB](https://blog.twitter.com/2010/introducing-flockdb) * [FlockDB](https://blog.twitter.com/2010/introducing-flockdb)
#### Source(s) and further reading: NoSQL #### その他の参考資料、ページ: NoSQL
* [Explanation of base terminology](http://stackoverflow.com/questions/3342497/explanation-of-base-terminology) * [基本用語の説明](http://stackoverflow.com/questions/3342497/explanation-of-base-terminology)
* [NoSQL databases a survey and decision guidance](https://medium.com/baqend-blog/nosql-databases-a-survey-and-decision-guidance-ea7823a822d#.wskogqenq) * [NoSQLデータベースについて調査と選択ガイド](https://medium.com/baqend-blog/nosql-databases-a-survey-and-decision-guidance-ea7823a822d#.wskogqenq)
* [Scalability](http://www.lecloud.net/post/7994751381/scalability-for-dummies-part-2-database) * [スケーラビリティ](http://www.lecloud.net/post/7994751381/scalability-for-dummies-part-2-database)
* [Introduction to NoSQL](https://www.youtube.com/watch?v=qI_g07C_Q5I) * [NoSQLのイントロダクション](https://www.youtube.com/watch?v=qI_g07C_Q5I)
* [NoSQL patterns](http://horicky.blogspot.com/2009/11/nosql-patterns.html) * [NoSQLパターン](http://horicky.blogspot.com/2009/11/nosql-patterns.html)
### SQL or NoSQL ### SQL or NoSQL