1. Amazon DocumentDB：
它是快速，可扩展，高度可用且受完全管理的文档数据库服务，支持MongoDB工作负载。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。
2. Amazon Redshift：
Amazon Redshift是一种有效的解决方案，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. |