Showing 4 open source projects for "performance java"

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    tigerbeetle

    tigerbeetle

    The financial transactions database designed for mission critical safe

    TigerBeetle is production-ready on Linux and seamlessly integrated with major programming languages. TigerBeetle is a financial transactions database designed for mission-critical safety and performance to power the next 30 years of OLTP. TigerBeetle redesigns the distributed database storage engine and consensus protocol for the OLTP workload. This solves the problem of OLTP write contention to unlock three orders of magnitude more performance than a general purpose (OLGP) database. The...
    Downloads: 1 This Week
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  • 2
    HugeGraph

    HugeGraph

    A graph database that supports more than 100+ billion data

    HugeGraph is a convenient, efficient, and adaptable graph database compatible with the Apache TinkerPop3 framework and the Gremlin query language. HugeGraph supports fast import performance in the case of more than 10 billion Vertices and Edges Graph, millisecond-level OLTP query capability, and can be integrated into big data platforms like Hadoop or Spark for OLAP analysis. The main scenarios of HugeGraph include correlation search, fraud detection, and knowledge graph. Not only supports...
    Downloads: 1 This Week
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  • 3
    Graph Database

    Graph Database

    A robust, reliable, user-friendly, and high-performance Graph Database

    This is an academic project to build a graph database, supporting multiple users, with fully functioned data query, data manipulation and indexing mechanism. It is running in a distributed client-server mode. This project is assigned to final-year project from group IT121B, Bachelor of Computing, University of Wollongong.
    Downloads: 0 This Week
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  • 4
    Wikipedia Concept Association Map (WCAM) is new approach for textual knowledge representation and understanding. All concepts and associations are stored in a graph database for better performance and easy distribution.
    Downloads: 0 This Week
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