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📜  Adabas和适用于MySQL的阿里云AnalyticDB之间的区别

📅  最后修改于: 2021-08-27 18:29:30             🧑  作者: Mango

1. Adabas:
Adabas代表可调整的数据库系统。它是由Software AG开发的,可以在IBM大型机上运行。它于1971年推出。它是用于大型机和Linux / Unix / Windows环境的OLTP-DBMS。 Adabas是一种企业数据库管理系统(DBMS),旨在实现可靠性,高性能,可伸缩性和较低的总体拥有成本。

2.适用于MySQL的阿里云AnalyticDB:
AnalyticDB是阿里云上的在线分析处理数据库系统。它提供PostgreSQL和MySQL版本。用于MySQL的AnalyticDB是一种实时数据仓库服务,可以以高并发性和低延迟处理PB级的数据。它与MySQL协议和SQL:2003语法完全兼容。它是由阿里巴巴开发的。 Adabas和适用于MySQL的阿里云AnalyticDB之间的区别:

S.NO. ADABAS< Alibaba Cloud AnalyticDB for MySQL
1. It was developed by Software AG in 1971. It was developed by Alibaba in 2018.
2. It is an OLTP-DBMS for mainframes and Linux/Unix/Windows environments. It is a real-time data warehousing service that can process petabytes of data with high concurrency and low latency.
3. It does not support in-memory capabilities. It supports in-memory capabilities.
4. Server operating systems for Adabas are BS2000, Linux, Unix, Windows, z/OS and z/VSE. In Alibaba Cloud AnalyticDB for MySQL there are Hosted server operating systems.
5. It does not support XML Format. It also does not support XML Format.
6. Server-side scripting is done in Natural language. It also supports the Server-side scripting.
7. It supports partitioning methods. Supported partitioning method is Sharding.
8. It supports SQL query language with add-on product Adabas SQL Gateway. It also supports SQL query language.
9. It supports Replication with add-on product Event Replicator. It also supports replication methods.
10. Adabas does not provide the concept of Referential Integrity. Hence, no Foreign Keys. AnalyticDB for MySQL provides the concept of Referential Integrity. Hence, there are Foreign Keys.
11. The license of Adabas is commercial. The license of Alibaba Cloud AnalyticDB for MySQL is also commercial.
12. The primary database model of Adabas is Multivalue DBMS. The primary database model of AnalyticDB for MySQL is Relational DBMS.
13. It does not offer any API for user-defined Map/Reduce methods. It also does not offer any API for user-defined Map/Reduce methods.