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Fig. 1. The Structure of Multi-SQL
Fig. 3. Document model
Fig. 4. Graph Model
Fig. 5. Social media data stored as four data models
+2 Fig. 6.
Multi-SQL: An extensible multi-model data query language
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  • Nov 2020
Big data management aims to establish data hubs that support data in multiple models and types in an all-around way. Thus, the multi-model database system is a promising architecture for building such a multi-model data store. For an integrated data hub, a unified and flexible query language is incredibly necessary. In this paper, an extensible and...
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... specific runtime results are shown in table 6. In order to present the comparison more intuitively, we draw histograms for the average of the experimental results of Workload 1 and Workload 2 in Figure 6. Figure 6(a) hows that the performance of the optimized Multi-SQL is the best with a 22% percent improvement compared with the native Multi-SQL, while the single-model and native Multi-SQL have similar performance. ...
Context 2
... order to present the comparison more intuitively, we draw histograms for the average of the experimental results of Workload 1 and Workload 2 in Figure 6. Figure 6(a) hows that the performance of the optimized Multi-SQL is the best with a 22% percent improvement compared with the native Multi-SQL, while the single-model and native Multi-SQL have similar performance. It is because the more coupled the data being queried, the greater the room for optimization. ...
Context 3
... is because the more coupled the data being queried, the greater the room for optimization. As is illustrated in Figure 6(b), the single-model is slightly better than Multi-SQL. It is because these queries have no room for optimization, and we have not been able to embed Multi-SQL into the databases. ...

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