已知最大的 Neo4j 集群是什么？
已知最大的 Neo4j 集群是多少（数据库大小、图形统计数据或机器数量）？
What is the largest known Neo4j cluster (in db size, graph stats, or # of machines)?
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节点和关系的数量是最近的（随着 1.3 版本）扩大到每项 320 亿美元，另外还有 640 亿美元用于房地产。如果您查看邮件列表，您会发现最近有很多关于的询问 大型数据存储。
The # of nodes and relationships was recently (with the 1.3 release) expanded to 32 billion each and another 64 billion for properties. If you look at the mailing list, there have been recent inquiries for quite large datastores.
作为找到答案的方法，您可能需要查看 Emil Eifrem（neo 创始人）的采访：http://www. infoq.com/interviews/eifem-graphdbs。特别是查看“从数据复杂性的角度来看，Neo4j 如何帮助消除存储数据时的一些实现复杂性？”部分：“数亿可能是一个大数字。数十亿绝对是一个大数字。”
我最近与 Neo Technologies 进行了交谈，他们在谈话中表示，他们所知道的机器方面最大的安装不超过 3-5 台机器。
此外，他们表示 Neo4j 可以有效处理的图的大小取决于图中节点和边的数量。如果它们都可以保存在内存中，那么大多数查询都会很快。您可以在 http://wiki.neo4j.org/content/Configuration_Settings 中找到内存中节点和边的大小（它是每个节点 9 个字节，每个关系 33 个字节）。
As an approach to an answer you might want to check out this interview with Emil Eifrem (neo's founder): http://www.infoq.com/interviews/eifrem-graphdbs. In particular check out the part on "From a data complexity perspective, how does Neo4j help remove some of the implementation complexity in storing your data?": "hundreds of millions is probably a large one. And billions that's definitly a large one."
I was in conversation with neo technologies recently, in which they shared that the largest installations they know of machine-wise do not have more than 3-5 machines.
Also, they said that the size of the graph neo4j can efficiently handle is dependent on the number of nodes and edges in the graph. If they can all be kept in memory, most queries will be fast. You find the sizes for nodes and edges in memory at http://wiki.neo4j.org/content/Configuration_Settings (it's 9 bytes per node and 33 bytes per relationship).