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4 Repos

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

Finde die besten Repos mit KI.Wir suchen mit KI nach den am besten passenden Repositories.
  • ipfs/ipfsAvatar von ipfs

    ipfs/ipfs

    23,137Auf GitHub ansehen↗

    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
    Auf GitHub ansehen↗23,137
  • hazelcast/hazelcastAvatar von hazelcast

    hazelcast/hazelcast

    6,570Auf GitHub ansehen↗

    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
    Auf GitHub ansehen↗6,570
  • basho/riakAvatar von basho

    basho/riak

    4,023Auf GitHub ansehen↗

    Riak ist ein dezentraler NoSQL-Key-Value-Store, der für hohe Verfügbarkeit und Fehlertoleranz entwickelt wurde. Es handelt sich um eine verteilte Datenbank im Dynamo-Stil, die konsistentes Hashing und Eventual Consistency nutzt, um Daten über einen Cluster von Knoten zu skalieren. Das System fungiert als geo-replizierter Datenspeicher, der Daten über mehrere physische Standorte hinweg synchronisiert, um Disaster Recovery zu ermöglichen und die Verfügbarkeit bei regionalen Ausfällen aufrechtzuerhalten. Es verwendet ein Multi-Master-Replikationsmodell, das Schreibvorgänge auf jedem Knoten im Cluster erlaubt. Die Plattform deckt breite Funktionsbereiche ab, einschließlich dezentraler Cluster-Koordinierung, hochverfügbarer Datenverwaltung und großskaliger Datenablaufsteuerung. Sie verwaltet die Datenbeständigkeit durch quorum-basierte Konsistenz und Schreibverifizierung, während sie spezialisierte Datenstrukturen verwendet, um gleichzeitige Updates automatisch zusammenzuführen.

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

    Shell
    Auf GitHub ansehen↗4,023
  • deuxfleurs-org/garageAvatar von deuxfleurs-org

    deuxfleurs-org/garage

    2,944Auf GitHub ansehen↗

    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
    Auf GitHub ansehen↗2,944
  1. Home
  2. Data & Databases
  3. Client-Server Data Synchronization
  4. Core Data Sync Servers
  5. Cross-Location Data Replication

Unter-Tags erkunden

  • 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.