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📜  AgensGraph 和 Amazon Neptune 之间的区别

📅  最后修改于: 2021-09-14 02:07:48             🧑  作者: Mango

1.AgensGraph:
AgensGraph 是一个企业图数据库管理系统,用于存储和管理各种类型的数据,包括遗留系统中的关系数据。它是一个基于 PostgreSQL RDBMS 的多模型数据库,同时支持关系和图数据模型。 AgensGraph 在关系模型中支持索引类型包括 BTree、Hash、Gist、Gin。它符合 ACID,并提供基于触发器的逻辑复制和高可用性工具,以确保您的稳定性。

2.亚马逊海王星:
Amazon Neptune 是 Amazon.com 为云产品构建的快速、可靠的图形数据库。它是 AWS(亚马逊网络服务)的一部分。它于 2017 年 11 月 29 日宣布。它同时支持开源 Apache TinkerPop Gremlin 图遍历语言。它允许用户使用通过 AWS Key Management Service 创建的密钥加密数据库。

AgensGraph 和 Amazon Neptune 的区别:

S.NO. AgensGraph Amazon Neptune
1. Developed By Bitnine Global Inc on 2016. Developed By Amazon on 2017.
2. It is a multi-model database supporting relational and graph data models and built upon PostgreSQL. It is a fast, reliable graph database built for the cloud product by Amazon.com
3. The License of AgensGraph is Open Source. The License of Amazon Neptune is commercial.
4. Server operating systems for AgensGraph are linux, OS X and Windows. In Amazon Neptune, Hosted server operating systems
5. Its primary database model are Graph DBMS and Relational DBMS. Its Primary database model are Graph DBMS and RDF store.
6. It support the Server-side scripting. It does not support the Server-side scripting.
7. There is no partitioning methods but can be realized using table inheritance. It does not support partitioning methods.
8. It supports SQL query language. It does not supports SQL query language.
9. It support only one replication methods – Master-slave replication. It support multi-availability zones high availability.
10. It provides the concept of Referential Integrity. Hence, there is Foreign Keys. It provides the concept of Referential Integrity. Hence, there is Foreign Keys.
11. It is not available as a cloud service It is available as a cloud service
12. Programming languages supported are C, Java, JavaScript, Python. Programming languages supported are C#, Go, Java, JavaScript, PHP, Python, Ruby and Scala.
13. It does not offers an API for user-defined Map/Reduce methods. It does not offers an API for user-defined Map/Reduce methods.