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3 个仓库

Awesome GitHub RepositoriesDistributed Graph Storage

Systems for managing massive volumes of vertices and edges across horizontally scalable clusters.

Distinguishing note: Existing candidates focus on ML training or firewall management, not general graph database storage

Explore 3 awesome GitHub repositories matching data & databases · Distributed Graph Storage. Refine with filters or upvote what's useful.

Awesome Distributed Graph Storage GitHub Repositories

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  • vesoft-inc/nebulavesoft-inc 的头像

    vesoft-inc/nebula

    12,239在 GitHub 上查看↗

    Nebula is a distributed graph database designed for storing and querying massive volumes of interconnected vertices and edges across a horizontally scalable cluster. It functions as a Kubernetes-native database and a distributed graph analytics engine, utilizing a Raft-based distributed store to ensure strong consistency and high availability. The system features an OpenCypher query engine for performing complex graph traversals and pattern matching. It distinguishes itself with a decoupled compute-storage architecture and a shared-nothing distributed design, allowing query processing and dat

    Manages massive volumes of interconnected vertices and edges across a horizontally scalable cluster for high availability.

    C++big-datacppdatabase
    在 GitHub 上查看↗12,239
  • boostorg/boostboostorg 的头像

    boostorg/boost

    8,493在 GitHub 上查看↗

    Boost is a collection of portable, high-performance source libraries that extend the C++ standard library. It provides a wide range of reusable components, data structures, and algorithms designed to add capabilities to the base language across different platforms. The project is distinguished by its extensive focus on compile-time template metaprogramming and generic programming. It implements advanced architectural patterns such as policy-based design, concept-based type validation, and the use of SFINAE for conditional template resolution to minimize runtime overhead. The library covers a

    Provides systems for managing massive volumes of vertices and edges across horizontally scalable clusters.

    HTML
    在 GitHub 上查看↗8,493
  • thinkaurelius/titanthinkaurelius 的头像

    thinkaurelius/titan

    5,228在 GitHub 上查看↗

    Titan is a distributed graph database and computing engine designed for storing and querying massive datasets of interconnected nodes and edges across multi-machine clusters. It functions as a scalable graph storage layer and transactional store, providing a framework for executing large-scale graph processing jobs and deep traversals. The system is distinguished by its pluggable storage backend, which decouples the graph engine from the physical persistence layer. It utilizes vertex-cut data partitioning to balance processing loads and a set-cardinality property model that allows single prop

    Functions as a scalable storage layer for managing massive volumes of vertices and edges across multi-machine clusters.

    Java
    在 GitHub 上查看↗5,228
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