Difference between Amazon Aurora and Amazon DynamoDB Last Updated : 29 Jul, 2020 Summarize Comments Improve Suggest changes Share Like Article Like Report 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 distributed fault-tolerant and self-healing storage system. 2. 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. Difference between Amazon Aurora and Amazon DynamoDB : S.No. Amazon Aurora Amazon DynamoDB 1. It was developed by Amazon in 2015. It was developed by Amazon in 2012. 2. It is MySQL and PostgreSQL compatible cloud service by Amazon. It is hosted, scalable database service by Amazon with data stored in Amazon cloud. 3. It provides concept of Referential Integrity. Hence, no Foreign Keys. It does not provide concept of Referential Integrity. Hence, no Foreign Keys. 4. Immediate Consistency is used to ensure consistency in distributed system. Eventual Consistency and Immediate Consistency are used to ensure consistency in distributed system. 5. Its Primary database model is Relational DBMS. Its Primary database models are Document store and Key-value store. 6. It supports Server-side scripting. It does not support Server-side scripting. 7. Partitioning can be done with horizontal partitioning. It supports sharding as partitioning method. 8. It supports SQL query language. It does not support SQL query language. 9. It supports only one replication method – Master-slave replication. It supports replication methods. 10. It does not offers API for user-defined Map/Reduce methods. It does not offers API for user-defined Map/Reduce methods. But maybe implemented via Amazon Elastic MapReduce. Comment More infoAdvertise with us Next Article Difference between Amazon DynamoDB and Amazon Redshift S SHUBHAMSINGH10 Follow Improve Article Tags : DBMS Difference Between Similar Reads Difference between Amazon Aurora and Amazon DocumentDB 1. Amazon Aurora : It is a fully managed relational database engine from Amazon Web Services that is compatible with PostgreSQL and MySQL. It is up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. The features of Aurora are distributed, fa 2 min read Difference between Amazon Aurora and Amazon SimpleDB 1. Amazon Aurora : It is a fully managed relational database engine from Amazon Web Services that is compatible with PostgreSQL and MySQL. It is up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. The features of Aurora are distributed, fa 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 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 DynamoDB and Amazon Redshift 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 hosted, scalable d 2 min read Difference between Adabas and Amazon Aurora 1. Adabas : Adabas stand for adaptable database system. It was developed by Software AG to run on IBM mainframes. It was launched in 1971. It is OLTP â DBMS for mainframes and Linux/Unix/Windows environments. It is enterprise database management system designed for reliability, high performance, sca 2 min read Like