1.减轻:
Weaviate是基于GraphQL的开源智能图,具有以下核心功能:语义搜索,自动分类和知识表示。主数据库模型是Search Engine,辅助数据库模型是Graph DBMS。它允许我们的数据基于GraphQL查询语言以大图形格式表示。它的搜索图基于称为Contextionary的图嵌入机制。
2. WakandaDB:
WakandaDB是用于访问数据的服务器端JavaScript引擎,并嵌入在提供REST API的服务器中。 WakandaDB具有的主要数据库模型是面向对象的DBMS。 WakandaDB是一个JavaScript平台,用于开发和运行Web或移动应用程序,并且可以通过HTTP访问NoSQL引擎。
Weaviate和WakandaDB之间的区别:
S.No. | Weaviate | WakandaDB |
---|---|---|
1 | Developed by SeMI Technologies B.V. and initially released on 2017 and current release on January 2020. | Developed by Wakanda SAS and initially released on 2012 and current release on July 2017. |
2 | Its primary database model is Search Engine and its secondary database models is Graph DBMS | Its primary database model is Object oriented DBMS. |
3 | No such server operating systems in Weaviate . | Server operating systems of WakandaDB is Linux, OS X, Windows. |
4 | Weaviate supports GraphQL query language and RESTful HTTP/JSON API. | It supports RESTful HTTP API. |
5 | Absence of transaction concepts in Weaviate. | Its transaction concept is ACID (Atomicity, Consistency, Isolation, and Durability). |
6 | There is replication methods. | There is absence of replication method. |
7 | Partitioning methods of Weaviate is Sharding. | It doesn’t holds sharding partitioning methods. |
8 | No such supported programming languages in Weaviate. | It supports JavaScript programming languages. |
9 | It has Eventual Consistency concept. | WakandaDB has Immediate Consistency. |
10 | Implementation language of Weaviate is Go. | Implementation language of WakandaDB is C++, JavaScript. |