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Awesome GitHub RepositoriesCross-Location Data Replication

Distributing data copies across different physical geographic locations for disaster recovery.

Distinct from Distributed Data Replication: Distinct from general distributed replication by specifically focusing on physical site diversity for resilience.

Explore 4 awesome GitHub repositories matching data & databases · Cross-Location Data Replication. Refine with filters or upvote what's useful.

Awesome Cross-Location Data Replication GitHub Repositories

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  • ipfs/ipfsipfs 的头像

    ipfs/ipfs

    23,137在 GitHub 上查看↗

    IPFS is a peer-to-peer hypermedia protocol and content-addressed storage system that identifies data by cryptographic hashes rather than network locations. It enables the creation of a decentralized web by organizing files and directories as directed acyclic graphs of linked content identifiers. The project differentiates itself through the use of a distributed hash table for locating peers and a system of signed records to map human-readable names to changing content. It also provides HTTP gateways that translate standard web requests into peer-to-peer queries, allowing decentralized data to

    IPFS manages a global set of pinned data by replicating and tracking files across multiple peers.

    ipfsipfs-protocolipfs-web
    在 GitHub 上查看↗23,137
  • hazelcast/hazelcasthazelcast 的头像

    hazelcast/hazelcast

    6,570在 GitHub 上查看↗

    Hazelcast is a distributed data platform that combines an in-memory data grid with a stream processing engine to support real-time analytics and event-driven applications. It functions as a partitioned, distributed key-value store that replicates data across cluster nodes to provide low-latency access and high availability. The platform also serves as a distributed SQL query engine, allowing users to execute standard SQL statements against both in-memory datasets and external data sources. What distinguishes Hazelcast is its use of a distributed consensus subsystem to maintain strongly consis

    Synchronizes data across geographically distant data centers to protect against site-wide failures.

    Javabig-datacachingdata-in-motion
    在 GitHub 上查看↗6,570
  • basho/riakbasho 的头像

    basho/riak

    4,023在 GitHub 上查看↗

    Riak 是一个去中心化的 NoSQL 键值存储,专为高可用性和容错性而设计。它是一个 Dynamo 风格的分布式数据库,利用一致性哈希和最终一致性在节点集群中扩展数据。 该系统作为地理复制数据存储运行,在多个物理位置同步数据,以提供灾难恢复并在区域性中断期间保持可用性。它采用多主复制模型,允许向集群中的任何节点进行写入。 该平台涵盖了广泛的功能领域,包括去中心化集群协调、高可用性数据管理和大规模数据过期。它通过基于法定人数的一致性和写入验证来管理数据持久性,同时利用专门的数据结构自动合并并发更新。

    Synchronizes data across multiple physical locations to ensure disaster recovery and low-latency access through geographic distribution.

    Shell
    在 GitHub 上查看↗4,023
  • deuxfleurs-org/garagedeuxfleurs-org 的头像

    deuxfleurs-org/garage

    2,944在 GitHub 上查看↗

    Garage is a distributed object storage system that provides an S3-compatible API gateway. It is designed to synchronize metadata across distributed nodes using conflict-free replicated data types and Merkle-tree state alignment to maintain cluster-wide consistency. The system ensures data resilience through zone-aware replication, distributing data copies across multiple physical locations. It employs quorum-based request routing and versioned layout management to validate and commit cluster configuration changes. The project covers a broad range of operational capabilities, including automa

    Distributes data copies across multiple physical locations and zones to ensure resilience against site failures.

    Rustobject-storagerusts3
    在 GitHub 上查看↗2,944
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  2. Data & Databases
  3. Client-Server Data Synchronization
  4. Core Data Sync Servers
  5. Cross-Location Data Replication

探索子标签

  • P2P Data ReplicationCoordinating the replication of content-addressed data across multiple peer nodes to ensure availability. **Distinct from Cross-Location Data Replication:** Focuses on decentralized peer-to-peer content replication rather than geographic disaster recovery sites.