Kyoseung Koo  Yoojin Choi  Bogyeong Kim  Bongki Moon

10.5626/JOK.2026.53.2.158

multi-model analytic workloads storage engine join algorithm database system

Modern data analytic workloads increasingly require handling multiple data models simultaneously. Two primary approaches meet this need: polyglot persistence and multi-model database systems. However, they are limited by high communication costs due to the physical disaggregation of the system or inefficient query processing stemming from reliance on a single engine. To address these limitations, we present DSE, a multi-model analytic system with integrated storage engines optimized for each model. DSE treats all data models as first-class entities, composing query plans that incorporate operations across models. To effectively combine data from different models, the system introduces a specialized inter-model join algorithm called multi-stage hash join. Our evaluation demonstrates that DSE outperforms existing approaches on multi-model analytics, confirming the effectiveness of our proposed techniques.