UniBench: Towards Benchmarking Multi-Model DBMS
As more businesses realized that data, in all forms and sizes, is critical to making the best possible decisions, we see the continued growth of systems that support massive volume of relational or non-relational forms of data. Unlike traditional database management systems which are organized around a single data model that determines how data can be organized, stored, and manipulated, a multi-model database is designed to support multiple data models against a single, integrated backend. For example, document, graph, relational, and key-value models are examples of data models that may be supported by a multi-model database. Having a single data platform for managing both well-structured data and NoSQL data is beneficial to users; this approach reduces significantly integration, migration, development, maintenance, and operational issues.
A high level overview of the data model. It includes relational, XML, graph, JSON and key-value data models.
- "Towards Benchming Multi-modoel databases" Published in CIDR 2017.