### Literature Review  
Efforts have been made globally to ensure a standardized way of exchanging data between internal components of a DMS, and the International Electrotechnical Commission (IEC) Technical Committee (TC) 57 CIM, defined in the IEC 61970, 61968, and 62325 standard series, has been adopted to ensure interoperability since it serves as the standardized information model for the operational IT systems of power networks, such as energy management systems (EMSs) and DMSs [7; 8; 9]. Refs. [10; 11] emphasize communication standards and CIM applicable to data, while [12] deals with DMSs for smart grids considering CIM-based interoperability. Furthermore, the CIM-based standard open platform, GridAPPS-D, has been designed to develop advanced distribution applications in an advanced DMS [13; 14; 15; 16], and new applications for the advanced DMS based on CIM have been developed [17; 18]. Along with interoperability for components of a DMS, research on standardized data exchange between DSOs utilizing a DMS as an operating IT system and transmission system operators (TSOs) has been internationally conducted. The TDX-ASSIST project aims to design and develop novel information and communication technology (ICT) tools and techniques that facilitate scalable and secure information systems and data exchange between TSO and DSO based on CIM [19; 20]. As the CIM-based standardized data exchange is becoming more important worldwide, a CIM-based DMS platform configuration with a CIM-friendly database is required to meet data exchange requirements for the new features and processes in an advanced DMS. Traditionally, DMSs have been constructed on RDBs to uphold operational speed, reliability, and stability. Utilizing an RDB intuitively enables the representation of information, facilitating efficient and organized data management through structured tables. Furthermore, the inherent characteristics of RDBs ensure consistency and integrity, maintainingdata synchronization. However, predefining table structures poses challenges in adapting flexibly to schema changes. Additionally, if a CIM-based DMS platform operates on an RDB, an object-relational impedance mismatch occurs between the object-oriented CIM and the RDB structure, which makes the RDB hard to intuitively represent CIM objects [21; 22]. One solution to this challenge is leveraging an object-relational mapping (ORM) tool, such as SQLAlchemy, Hibernate, Django ORM, Entity Framework, and Sequelize, facilitating the mapping of object-oriented models to RDBs. However, while ORM tools address some issues, they fail to mitigate fundamental issues associated with transformation processing. These include performance degradation and increased query complexity stemming from transformation processes. RDBs still exhibit drawbacks such as difficulty in handling modifications to the information model and reduced TP speed [23; 24], which is crucial for applications in a DMS based on TP, as it provides an analyzed and managed power network structure for TP-based applications such as load flow and state estimation. RDBs suffer from slower topological search speeds as they only allow index searches on primary keys. Consequently, using index searches to locate nodes for TP and their connected counterparts is complex and time-consuming, and this reliance on TP inevitably leads to performance degradation in TP-based DMS applications. Highly sophisticated relational SQL queries must be developed to conduct graph traversal and pattern discovery using large numbers of joins across CIM concepts, although several CIM-based commercial products utilizing RDBs with excellent performance, such as EcoStruxure ADMS from Schneider and Spectrum Power from Siemens, are available. Research has explored the introduction of various databases, including object-relational databases (ORDBs) [25], and no-SQL databases [26; 27] to a DMS based on CIM-oriented standard interfaces. Ref.