International Journal of Computer Science & Network Security

International Journal of Computer Science & Network Security (국제컴퓨터통신보호논문지학회)
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A COMPARATIVE STUDY ON BLOCKCHAIN DATA MANAGEMENT SYSTEMS: BIGCHAINDB VS FALCONDB

  • Abrar Alotaibi (Department of Information and Computer Science, King Fahd University of Petroleum and Minerals ) ;
  • Sarah Alissa (Department of Information and Computer Science, King Fahd University of Petroleum and Minerals ) ;
  • Salahadin Mohammed (Department of Information and Computer Science, King Fahd University of Petroleum and Minerals )
  • Received : 2023.05.05
  • Published : 2023.05.30
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Abstract

The widespread usage of blockchain technology in cryptocurrencies has led to the adoption of the blockchain concept in data storage management systems for secure and effective data storage and management. Several innovative studies have proposed solutions that integrate blockchain with distributed databases. In this article, we review current blockchain databases, then focus on two well-known blockchain databases-BigchainDB and FalconDB-to illustrate their architecture and design aspects in more detail. BigchainDB is a distributed database that integrates blockchain properties to enhance immutability and decentralization as well as a high transaction rate, low latency, and accurate queries. Its architecture consists of three layers: the transaction layer, consensus layer, and data model layer. FalconDB, on the other hand, is a shared database that allows multiple clients to collaborate on the database securely and efficiently, even if they have limited resources. It has two layers: the authentication layer and the consensus layer, which are used with client requests and results. Finally, a comparison is made between the two blockchain databases, revealing that they share some characteristics such as immutability, low latency, permission, horizontal scalability, decentralization, and the same consensus protocol. However, they vary in terms of database type, concurrency mechanism, replication model, cost, and the usage of smart contracts.

Keywords

Acknowledgement

The authors would like to thank King Fahd University of Petroleum and Minerals and Imam Abdulrahman Bin Faisal University, Saudi Arabia, for supporting this work.

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