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Difference between Adabas and Amazon Aurora

  • Last Updated : 17 Jul, 2020

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 – DBMS for mainframes and Linux/Unix/Windows environments. It is enterprise database management system designed for reliability, high performance, scalability, and low total cost of ownership.

2. 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.



Difference between Adabas and Amazon Aurora :

S.NO.AdabasAMAZON AURORA
1.It was developed by Software AG in 1971.It was developed by Amazon in 2015.
2.It is OLTP – DBMS for mainframes and Linux/Unix/Windows environments.It is MySQL and PostgreSQL compatible cloud service by Amazon
3.It is not available as cloud serviceIt is available as cloud service
4.Server operating systems for Adabas are BS2000, Linux, Unix, Windows, z/OS, and z/VSE.In Amazon Aurora, Hosted server operating systems
5.It does not support XML Format.It supports XML Format.
6.Server-side scripting is done in Natural.It supports Server-side scripting.
7.It supports partitioning methods.Partitioning can be done with horizontal partitioning.
8.It supports SQL query language with add-on product Adabas SQL Gateway.It supports SQL query language.
9.It supports Replication with add-on product Event Replicator.It supports only one replication method – Master-slave replication.
10.Adabas does not provide concept of Referential Integrity. Hence, no Foreign Keys.It provides concept of Referential Integrity. Hence, Foreign Keys.
11.It does not support In-memory capabilities.It supports In-memory capabilities
12.Its primary database model is Multivalue DBMSIts Primary database model is Relational DBMS.

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