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4 repositorios

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

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • ipfs/ipfsAvatar de ipfs

    ipfs/ipfs

    23,137Ver en GitHub↗

    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
    Ver en GitHub↗23,137
  • hazelcast/hazelcastAvatar de hazelcast

    hazelcast/hazelcast

    6,570Ver en GitHub↗

    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
    Ver en GitHub↗6,570
  • basho/riakAvatar de basho

    basho/riak

    4,023Ver en GitHub↗

    Riak is a decentralized NoSQL key-value store designed for high availability and fault tolerance. It is a Dynamo-style distributed database that utilizes consistent hashing and eventual consistency to scale data across a cluster of nodes. The system functions as a geo-replicated datastore, synchronizing data across multiple physical locations to provide disaster recovery and maintain availability during regional outages. It employs a multi-master replication model, allowing writes to any node in the cluster. The platform covers broad capability areas including decentralized cluster coordinat

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

    Shell
    Ver en GitHub↗4,023
  • deuxfleurs-org/garageAvatar de deuxfleurs-org

    deuxfleurs-org/garage

    2,944Ver en GitHub↗

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

Explorar subetiquetas

  • 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.