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A Survey on the Integration of Blockchains and Databases.

Changhao Zhu1, Junzhe Li1, Ziyue Zhong1

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This summary is machine-generated.

Blockchain and database fusion systems offer enhanced security, efficiency, and privacy for data management. This survey explores these integrated systems, their classifications, and future directions in the field.

Keywords:
BlockchainsData managementDatabasesIntroductory and survey

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Area of Science:

  • Computer Science
  • Data Management
  • Blockchain Technology

Background:

  • Blockchain's success in cryptocurrencies highlights its potential for data management.
  • A growing trend integrates blockchains with traditional databases for improved security, efficiency, and privacy.
  • Existing research lacks a clear taxonomy for blockchain-database fusion systems.

Purpose of the Study:

  • To survey and classify existing blockchain-related data management technologies.
  • To analyze three types of fusion systems, their design spaces, and trade-offs.
  • To provide insights into current solutions and identify future research directions.

Main Methods:

  • Classification of blockchain-data management technologies based on their position in the blockchain-database spectrum.
  • Analysis of three distinct types of fusion systems.
  • Comparative study of typical systems, techniques, and solutions within each fusion model.

Main Results:

  • A taxonomy categorizing blockchain-data management systems is proposed.
  • Detailed analysis of three fusion system types, revealing their respective design spaces and trade-offs.
  • Comparative insights into various fusion models and their practical applications.

Conclusions:

  • Fusion systems combining blockchains and databases are crucial for future data management.
  • Understanding the advantages and limitations of these systems is vital for academia and industry.
  • Further research is needed to address unsolved challenges and explore promising directions in integrated systems.