BreakMeEveryday opened a new issue, #2524:
URL: https://github.com/apache/incubator-hugegraph/issues/2524

   ### Problem Type (问题类型)
   
   None
   
   ### Before submit
   
   - [X] 我已经确认现有的 [Issues](https://github.com/apache/hugegraph/issues) 与 
[FAQ](https://hugegraph.apache.org/docs/guides/faq/) 中没有相同 / 重复问题 (I have 
confirmed and searched that there are no similar problems in the historical 
issue and documents)
   
   ### Environment (环境信息)
   
   - Server Version: 1.0.0 (Apache Release Version)
   - Backend: RocksDB x nodes, HDD or SSD 
   - OS: xx CPUs, xx G RAM, Ubuntu 2x.x / CentOS 7.x 
   - Data Size:  xx vertices, xx edges <!-- (like 1000W 点, 9000W 边) -->
   
   
   ### Your Question (问题描述)
   
   
hugegraph的backend采用了mysql,rocksdb,cassandra、hbase等数据库,连最底层的数据存储都没有脱离关系型数据库,为什么可以叫Graph
 DB?我理解,所谓的Graph 
DB相当于在关系型数据库上做了一层图形化界面,把关系型数据库中的数据展示为图,底层数据的存储结构与形式仍未脱离关系型数据库,号称的检索速度等优势是如何体现的?
   
   > The backend of hugegraph uses mysql, rocksdb, cassandra, hbase and other 
databases, and even the lowest data storage is not separated from the 
relational database, why can it be called Graph DB? DB is equivalent to making 
a graphical interface on the relational database, displaying the data in the 
relational database as a graph, and the storage structure and form of the 
underlying data are still not separated from the relational database.
   
   ### Vertex/Edge example (问题点 / 边数据举例)
   
   _No response_
   
   ### Schema [VertexLabel, EdgeLabel, IndexLabel] (元数据结构)
   
   _No response_


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