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Existing data storage systems offer a wide range of functionalities toaccommodate an equally diverse range of applications. However, new classes ofapplications have emerged, e.g., blockchain and collaborative analytics,featuring data versioning, fork semantics, tamper-evidence or any combinationthereof. They present new opportunities for storage systems to efficientlysupport such applications by embedding the above requirements into the storage.  In this paper, we present ForkBase, a storage engine specifically designed toprovide efficient support for blockchain and forkable applications. Byintegrating the core application properties into the storage, ForkBase not onlydelivers high performance but also reduces development effort. Data in ForkBaseis multi-versioned, and each version uniquely identifies the data content andits history. Two variants of fork semantics are supported in ForkBase tofacilitate any collaboration workflows. A novel index structure is introducedto efficiently identify and eliminate duplicate content across data objects.Consequently, ForkBase is not only efficient in performance, but also in spacerequirement. We demonstrate the performance of ForkBase using threeapplications: a blockchain platform, a wiki engine and a collaborativeanalytics application. We conduct extensive experimental evaluation of theseapplications against respective state-of-the-art system. The results show thatForkBase achieves superior performance while significantly lowering thedevelopment cost.

ForkBase: An Efficient Storage Engine for Blockchain and Forkable Applications