1. 亚马逊文档数据库：
它是一种快速、可扩展、高度可用且完全托管的文档数据库服务，支持 MongoDB 工作负载。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。
2.亚马逊红移：
Amazon Redshift 是一种高效的解决方案，用于收集和存储您的所有数据，并使您能够对其进行分析。它是与商业智能工具一起使用的大规模数据仓库服务。 Amazon Redshift 的功能 – 快速、简单、经济高效的数据仓库服务。它构成了更大的云计算平台 Amazon Web Services 的一部分。
Amazon DocumentDB 和 Amazon Redshift 之间的区别：
| S.NO. | Amazon DocumentDB | Amazon Redshift |
|---|---|---|
| 1. | It is developed By Amazon in 2019. | It is developed By Amazon in 2012. |
| 2. | It is fast, scalable, highly available, and fully managed MongoDB-compatible database service. | It is large scale data warehouse service for use with business intelligence tools. |
| 3. | It supports Atomic single-document operations. | It supports ACID property. |
| 4. | It does not provide concept of Referential Integrity. Hence, no Foreign Keys. | It provides concept of Referential Integrity. Hence, there are Foreign Keys. |
| 5. | Its Primary database model is Document store. | Its primary database model is Relational DBMS. |
| 6. | It does not support Server-side scripting. | It supports user-defined functions for Server-side scripting in python. |
| 7. | It does not support partitioning methods. | It supports partitioning methods with Sharding. |
| 8. | It supports SQL query language. | It supports SQL query language. But it does not fully support SQL-standard. |
| 9. | It supports Multi-availability zones for high availability. | It supports replication methods. |
| 10. | It does not offers API for user-defined Map/Reduce methods. But maybe implemented via Amazon Elastic MapReduce. | It does not offer API for user-defined Map/Reduce methods. |