Difference between Alibaba Cloud Table Store and Amazon DocumentDB

1. Alibaba Cloud Table Store :
The Table Store is a fully managed Wide Column Store for large quantities of semi-structured data with real-time access. It is a NoSQL database service that uses a variety of data models. This database is developed by Alibaba Cloud. It is used to store a large amount of structured data that can be used for further documentation. It is used for efficient query and data analyzing.

2. Amazon DocumentDB :
Amazon DocumentDB is a commercial licensed database that has the following feature as it is a 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 the Apache 2.0 open source MongoDB 3.6 API by emulating the responses.



Difference between Alibaba Cloud Table Store and Amazon DocumentDB:

S.NO. Alibaba Cloud Table Store Amazon DocumentDB
1. Developed By Alibaba on 2016. Developed By Amazon on 2019.
2. It is a fully managed Wide Column Store for large quantities of semi-structured data with real-time access. It is a fast, scalable, highly available, and fully managed MongoDB-compatible database service
3. The License of Alibaba Cloud Table Store is commercial. The License of Amazon DocumentDB is commercial.
4. In Alibaba Cloud Table Store, Hosted server operating systems. In Amazon DocumentDB, Hosted server operating systems
5. Its primary database model is Wide column store. Its Primary database model is Document store.
6. It supports user defined functions based Server-side scripting. It does not support the Server-side scripting.
7. There is only one partitioning methods – Sharding. It does not support the partitioning methods.
8. It does not supports SQL query language. It does not supports SQL query language.
9. It support replication methods. It support Multi-availability zones for high availability
10. It does not provides the concept of Referential Integrity. Hence, no Foreign Keys. It does not provides the concept of Referential Integrity. Hence, no Foreign Keys. But may be implemented via Amazon Elastic MapReduce.
11. It does not offers an API for user-defined Map/Reduce methods It does not offers an API for user-defined Map/Reduce methods
12. It supports Atomic single-row operations It supports Atomic single-document operations.
13. Programming languages supported are Java and Python. Programming languages supported are Go, Java, JavaScript, PHP and Python.

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