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Most Influential SIGMOD 2020 Paper · 2026-03 edition

FalconDB: Blockchain-based Collaborative Database

Yanqing Peng; Min Du; Feifei Li; Raymond Cheng; Dawn Song

Venue
ACM SIGMOD Conference (SIGMOD) 2020
Recognition
Most Influential SIGMOD 2020 Paper (Rank No. 8)
Edition
2026-03
Impact factor
4
Certificate ID
7c17652bb09cdc9d

Abstract

Nowadays an emerging class of applications are based oncollaboration over a shared database among different entities. However, the existing solutions on shared database may require trust on others, have high hardware demand that is unaffordable for individual users, or have relatively low performance. In other words, there is a trilemma among security, compatibility and efficiency. In this paper, we present FalconDB, which enables different parties with limited hardware resources to efficiently and securely collaborate on a database. FalconDB adopts database servers with verification interfaces accessible to clients and stores the digests for query/update authentications on a blockchain. Using blockchain as a consensus platform and a distributed ledger, FalconDB is able to work without any trust on each other. Meanwhile, FalconDB requires only minimal storage cost on each client, and provides anywhere-available, real-time and concurrent access to the database. As a result, FalconDB over-comes the disadvantages of previous solutions, and enables individual users to participate in the collaboration with high efficiency, low storage cost and blockchain-level security guarantees.

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