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📜  Amazon DynamoDB 和 Amazon Redshift 之间的区别

📅  最后修改于: 2021-09-09 12:02:17             🧑  作者: Mango

1. 亚马逊动态数据库:
Amazon DynamoDB 是一个完全托管的数据库,支持文档和键值数据模型。功能如下 – 快速灵活的 NoSQL 数据库服务,适用于需要一致的、任何规模的个位数毫秒延迟的所有应用程序。它由亚马逊托管,可扩展的数据库服务,数据存储在亚马逊云中。

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
更大的云计算平台亚马逊网络服务。

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.