Hybrid Blockchain Database Systems: Design and Performance
Zerui Ge, Dumitrel Loghin, Beng Chin Ooi, Pingcheng Ruan, Tianwen Wang
Abstract
With the emergence of hybrid blockchain database systems, we aim to provide an in-depth analysis of the performance and trade-offs among a few representative systems. To achieve this goal, we implement Veritas and BlockchainDB from scratch. For Veritas, we provide two flavors to target the crash fault-tolerant (CFT) and Byzantine fault-tolerant (BFT) application scenarios. Specifically, we implement Veritas with Apache Kafka to target CFT application scenarios, and Veritas with Tendermint to target BFT application scenarios. We compare these three systems with the existing open-source implementation of BigchainDB. BigchainDB uses Tender-mint for consensus and provides two flavors: a default implementation with blockchain pipelining and an optimized version that includes blockchain pipelining and parallel transaction validation. Our experimental analysis confirms that CFT designs, which are typically used by distributed databases, exhibit much higher performance than BFT designs, which are specific to blockchains. On the other hand, our extensive analysis highlights the variety of design choices faced by the developers and sheds some light on the trade-offs that need to be done when designing a hybrid blockchain database system.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Cited by top-tier papers7
- GriDB: Scaling Blockchain Database via Sharding and Off-Chain Cross-Shard MechanismZicong Hong, Song Guo, Enyuan Zhou, Wuhui Chen et al.VLDB 2023 · 65 citations
- AdaChain: A Learned Adaptive BlockchainChenyuan Wu, Bhavana Mehta, Mohammad Javad Amiri, Ryan Marcus et al.VLDB 2023 · 20 citations
- VeriDKG: A Verifiable SPARQL Query Engine for Decentralized Knowledge GraphsEnyuan Zhou, Song Guo, Zicong Hong, Christian S. Jensen et al.VLDB 2024 · 5 citations
- Towards Full Stack Adaptivity in Permissioned BlockchainsChenyuan Wu, Mohammad Javad Amiri, Haoyun Qin, Bhavana Mehta et al.VLDB 2024 · 3 citations
- Authenticated Aggregate Queries with Boolean Range Predicates on BlockchainsWeijie Sun, Zihuan Xu, Wangze Ni, Lei Chen et al.VLDB 2025 · 1 citation
Builds on4
- FalconDB: Blockchain-based Collaborative DatabaseYanqing Peng, Min Du, Feifei Li, Raymond Cheng et al.SIGMOD 2020 · 119 citations
- A Transactional Perspective on Execute-order-validate BlockchainsPingcheng Ruan, Dumitrel Loghin, Quang-Trung Ta, Meihui Zhang et al.SIGMOD 2020 · 117 citations
- Blockchains vs. Distributed Databases: Dichotomy and FusionPingcheng Ruan, Tien Tuan Anh Dinh, Dumitrel Loghin, Meihui Zhang et al.SIGMOD 2021 · 68 citations
- CALYPSO: Private Data Management for Decentralized LedgersEleftherios Kokoris-Kogias, Enis Ceyhun Alp, Linus Gasser, Philipp Jovanovic et al.VLDB 2021 · 51 citations
Related papers
- ResilientDB: Global Scale Resilient Blockchain FabricSuyash Gupta, Sajjad Rahnama, Jelle Hellings, Mohammad SadoghiVLDB 2020 · 100 citations
- When Private Blockchain Meets Deterministic DatabaseZiliang Lai, Chris Liu, Eric LoSIGMOD 2023 · 22 citations
- VeriBench: Analyzing the Performance of Database Systems with VerifiabilityCong Yue, Meihui Zhang, Changhao Zhu, Gang Chen et al.VLDB 2023 · 6 citations
- RCC: Resilient Concurrent Consensus for High-Throughput Secure Transaction ProcessingSuyash Gupta, Jelle Hellings, Mohammad SadoghiICDE 2021 · 72 citations
- Angelfish: Leader, DAG, or Anywhere in BetweenQianyu Yu), Giuliano Losa, Nibesh Shrestha, Xuechao Wang)CCS 2026
