Difference between Alibaba Cloud Log Service and Amazon Neptune

1. Alibaba Cloud Log Service :
The Log Service is a complete real-time data logging service that has been developed by Alibaba Group. It is a complete real-time data logging service that supports collection, consumption, shipping, search, and analysis of logs.

2. Amazon Neptune :
Amazon Neptune is a fast, reliable graph database built for the cloud product by Amazon.com. It is part of AWS (Amazon Web Services). It was announced on November 29, 2017. It supports both the open-source Apache TinkerPop Gremlin graph traversal language. It allows the user to encrypt databases using keys created through AWS Key Management Service.



Difference between Alibaba Cloud Log Service and Amazon Neptune :

S.NO. ALIBABA CLOUD LOG SERVICE Amazon Neptune
1. Developed By AlibabaCloud Inc. on 2016. Developed By Amazon on 2017.
2.  It is a complete real-time data logging service that supports collection, consumption, shipping, search, and analysis of logs. It is a fast, reliable graph database built for the cloud product by Amazon.com
3. The License of Alibaba Cloud Log Service is commercial. The License of Amazon Neptune is commercial.
4. In Alibaba Cloud Log Service, Hosted server operating systems. In Amazon Neptune, Hosted server operating systems
5. Its primary database model is Search engine. Its Primary database model are Graph DBMS and RDF store.
6. It does not support the Server-side scripting. It does not support the Server-side scripting.
7. There is only one partitioning methods – Sharding. It does not support partitioning methods.
8. It supports SQL query language. It does not supports SQL query language.
9. It support 3 replicas. It support multi-availability zones high availability.
10. It does not provides the concept of Referential Integrity. Hence, no Foreign Keys. It provides the concept of Referential Integrity. Hence, there is Foreign Keys.
11. It offers an ES-Hadoop Connector as a Map/Reduce methods It does not offers an API for user-defined Map/Reduce methods.

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