1.亚马逊极光：
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 的特点是分布式、容错和自愈存储系统。
2. 亚马逊文档数据库：
它是一个商业许可的数据库，具有以下特性，因为它是一种支持 MongoDB 工作负载的快速、可扩展、高度可用且完全托管的文档数据库服务。它目前在 AWS 的加利福尼亚、俄勒冈、北弗吉尼亚和爱尔兰地区可用。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. |