1. Amazon DynamoDB：
Amazon DynamoDB是一个完全托管的数据库，同时支持文档和键值数据模型。功能如下–快速和灵活的NoSQL数据库服务，可为所有需要任何规模的一致，单位毫秒毫秒延迟的应用程序提供服务。它由Amazon托管，可扩展的数据库服务，其中的数据存储在Amazon云中。
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。
Amazon DynamoDB和Amazon Redshift之间的区别：
| S.No. | Amazon DynamoDB | Amazon Redshift |
|---|---|---|
| 1. | It was developed by Amazon in 2012. | It was developed by Amazon in 2012. |
| 2. | It is hosted, scalable database service by Amazon with data stored in Amazon cloud. | It is large scale data warehouse service for use with business intelligence tools. |
| 3. | It does not support SQL query language. | It supports SQL query language. But it does not fully support an SQL-standard. |
| 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 models are Document store and Key-value 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. | Eventual Consistency and Immediate Consistency are used to ensure consistency in distributed system. | Immediate Consistency is used to ensure consistency in distributed system. |
| 8. | 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. |
| 9. | It supports secondary indexes. | It supports restricted secondary indexes. |