1. Amazon Aurora:
它是来自Amazon Web Services的完全托管的关系数据库引擎,与PostgreSQL和MySQL兼容。它比标准MySQL数据库快五倍,比标准PostgreSQL数据库快三倍。 Aurora的功能是分布式,容错和自我修复的存储系统。
2. Amazon DocumentDB:
它是一种商业许可的数据库,具有以下功能,因为它是支持MongoDB工作负载的快速,可伸缩,高可用性和完全托管的文档数据库服务。目前在AWS的加利福尼亚州,俄勒冈州,北弗吉尼亚州和爱尔兰地区可用。它通过模拟响应来实现Apache 2.0开源MongoDB 3.6 API。 Amazon Aurora和Amazon DocumentDB之间的区别:
S.NO. | Amazon Aurora | Amazon DocumentDB |
---|---|---|
1. | It was developed by Amazon in 2015. | It was developed by Amazon in 2019. |
2. | It is a MySQL and PostgreSQL compatible cloud service by Amazon. | It is a fast, scalable, highly available, and fully managed MongoDB-compatible database service. |
3. | The license of Amazon Aurora is commercial. | The license of Amazon DocumentDB is also commercial. |
4. | In Amazon Aurora there are hosted server operating systems. | In Amazon DocumentDB there are hosted server operating systems. |
5. | Its primary database model is Relational DBMS. | Its primary database model is Document Store. |
6. | It supports the Server-side scripting. | It does not support the Server-side scripting. |
7. | The partitioning can be done with horizontal partitioning. | It does not support the partitioning methods. |
8. | It supports SQL query language. | It does not support SQL query language. |
9. | It supports only one replication method : Master-Slave Replication. | It supports multi-availability zones for high availability. |
10. | It provides the concept of Referential Integrity. Hence, there are Foreign Keys. | It does not provide the concept of Referential Integrity. Hence, no Foreign Keys. But may be implemented via Amazon Elastic MapReduce. |
11. | It does not offer any API for user-defined Map/Reduce methods. | It also does not offer any API for user-defined Map/Reduce methods. But may be implemented via Amazon Elastic MapReduce. |
12. | It supports ACID properties. | It supports atomic single-document operations. |