Object-NoSQL Database Mappers: a benchmark study on the performance overhead

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• 作者：Vincent Reniers ; Ansar Rafique…
• 关键词：Object ; NoSQL Database Mappers ; Performance evaluation ; Performance overhead ; MongoDB
• 刊名：Journal of Internet Services and Applications
• 出版年：2017
• 出版时间：December 2017
• 年：2017
• 卷：8
• 期：1
• 全文大小：755KB
• 刊物类别：Computer Science
• 刊物主题：Computer Systems Organization and Communication Networks; Computer Communication Networks; Information Systems and Communication Service; IT in Business; Computer Applications; Processor Architectures
• 出版者：Springer London
• ISSN：1869-0238
• 卷排序：8

文摘

In recent years, the hegemony of traditional relational database management systems (RDBMSs) has declined in favour of non-relational databases (NoSQL). These database technologies are better adapted to meet the requirements of large-scale (web) infrastructures handling Big Data by providing elastic and horizontal scalability. Each NoSQL technology however is suited for specific use cases and data models. As a consequence, NoSQL adopters are faced with tremendous heterogeneity in terms of data models, database capabilities and application programming interfaces (APIs). Opting for a specific NoSQL database poses the immediate problem of vendor or technology lock-in. A solution has been proposed in the shape of Object-NoSQL Database Mappers (ONDMs), which provide a uniform abstraction interface for different NoSQL technologies.