Abstract
Data model research is a fundamental part of the field of big data, and strongly supports the higher levels of database construction, data access, data analysis and data mining. This paper considers the shortcomings of traditional databases such as limited support for data types, low concurrent query performance and lack of horizontal scalability. And based on this, it proposes an Open Scalable Relational Data Model (OSRDM), which provides open support for varieties of data types and enables complete horizontal scalability on the basis of keeping and extending the relational descriptive power of traditional relational data models. It caters for the characteristics of big data such as volume, variety and velocity. Finally, the paper analyzes and evaluates OSRDM by comparing it with popular data models from two perspectives: functional features and performance indicators. The results show the superiority of OSRDM.
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