Difference between Amazon DynamoDB and Amazon Redshift Last Updated : 29 Jul, 2020 Summarize Comments Improve Suggest changes Share Like Article Like Report 1. Amazon DynamoDB : Amazon DynamoDB is a fully-managed database and supports both document and key-value data models. Features are as follows – fast and flexible NoSQL database service for all applications that need consistent, single-digit millisecond latency at any scale. It is hosted, scalable database service by Amazon with data stored in Amazon cloud. 2. Amazon Redshift : Amazon Redshift is an efficient solution to collect and store all your data and enables you to analyze it. It is large scale data warehouse service for use with business intelligence tools. Feature of Amazon Redshift – fast, simple, cost-effective data warehousing service. It forms part of larger cloud-computing platform Amazon Web Services. Difference between Amazon DynamoDB and Amazon Redshift : 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. Comment More infoAdvertise with us Next Article Difference between Amazon DocumentDB and Amazon Redshift S SHUBHAMSINGH10 Follow Improve Article Tags : DBMS Difference Between Similar Reads Difference between Amazon DocumentDB and Amazon Redshift 1. Amazon DocumentDB : It is fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. It is currently available in California, Oregon, North Virginia and Ireland regions of AWS. It implements Apache 2.0 open source MongoDB 3.6 API by emulating re 2 min read Difference between Amazon DynamoDB and Amazon SimpleDB 1. Amazon DynamoDB : Amazon DynamoDB is a fully-managed database and supports both document and key-value data models. Features are as follows â fast and flexible NoSQL database service for all applications that need consistent, single-digit millisecond latency at any scale. It is a hosted, scalable 2 min read Difference between Amazon Neptune and Amazon Redshift 1. Amazon Neptune : Amazon Neptune is a fast, reliable graph database built for cloud product by Amazon.com. It is part of Amazon Web Services (AWS). It was announced on November 29, 2017. It supports both open-source Apache TinkerPop Gremlin graph traversal language. It allows user to encrypt datab 2 min read Difference between MongoDB and Amazon Redshift 1. MongoDB : MongoDB is an open-source document-oriented database used for high volume data storage. It falls under classification of NoSQL database. NoSQL tool means that it doesnât utilize usual rows and columns. MongoDB uses BSON (document storage format) which is binary style of JSON documents. 2 min read Difference between Amazon Aurora and Amazon Redshift 1. Amazon Aurora : It is a fully managed relational database engine from Amazon Web Services that are compatible with MySQL and PostgreSQL. It is approx five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. Features of Aurora have distributed faul 2 min read Difference between Amazon Aurora and Amazon DynamoDB 1. Amazon Aurora : Amazon Aurora is a fully managed relational database engine from Amazon Web Services that are compatible with MySQL and PostgreSQL. It is approx five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. Features of Aurora have distr 2 min read Like