Scholarlink

The rise of big data and social networks necessitates using multiple data models, including NoSQL, leading to complex database management due to their schemaless nature and ambiguous structures. Graph data models offer unique flexibility to facilitate. This paper proposes a graph-centric multi-model DBMS leveraging a unified schema (U-Schema) to integrate heterogeneous data into a cohesive graph. This polystore architecture provides a transparent interface for querying as a unified graph, seamlessly supporting data migration and dynamic data placement. Qualitative and quantitative evaluations show transparent query processing and significant impact of data migration on execution speed, indicating optimization potential.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Unified Schema-Driven Graph Polystore: Achieving Transparency in Multi-model Integration and Migration

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Fumihiro Yamashita,
  • Qiong Chang,
  • Jun Miyazaki

摘要

The rise of big data and social networks necessitates using multiple data models, including NoSQL, leading to complex database management due to their schemaless nature and ambiguous structures. Graph data models offer unique flexibility to facilitate. This paper proposes a graph-centric multi-model DBMS leveraging a unified schema (U-Schema) to integrate heterogeneous data into a cohesive graph. This polystore architecture provides a transparent interface for querying as a unified graph, seamlessly supporting data migration and dynamic data placement. Qualitative and quantitative evaluations show transparent query processing and significant impact of data migration on execution speed, indicating optimization potential.