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7 रिपॉजिटरी

Awesome GitHub RepositoriesCross-Cluster Table Replication

Bootstraps and checkpoints replication of tables, including external tables, across clusters with tracking metrics.

Distinct from Data Replication: Distinct from general Data Replication: specifically covers cross-cluster table replication with checkpointing and metrics, not intra-cluster synchronization.

Explore 7 awesome GitHub repositories matching data & databases · Cross-Cluster Table Replication. Refine with filters or upvote what's useful.

Awesome Cross-Cluster Table Replication GitHub Repositories

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  • hazelcast/hazelcasthazelcast का अवतार

    hazelcast/hazelcast

    6,570GitHub पर देखें↗

    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 key-value entries across all cluster members to ensure high-speed local access and automatic data recovery.

    Javabig-datacachingdata-in-motion
    GitHub पर देखें↗6,570
  • apache/hiveapache का अवतार

    apache/hive

    6,012GitHub पर देखें↗

    Apache Hive is a SQL-on-Hadoop data warehouse that enables querying and managing petabytes of data stored in distributed storage such as HDFS and cloud storage services. It provides a familiar SQL interface for batch analytics and reporting, supported by a core set of components including the HiveServer2 Thrift service for remote query execution, the Hive Metastore Service for central metadata management, the Hive ACID Transaction Engine for concurrent read-write operations, and the Hive LLAP Interactive Engine for low-latency analytical processing. The WebHCat REST API offers an HTTP interfac

    Bootstraps and checkpoints replication of tables, including external tables, with tracking metrics for consistency.

    Javaapachebig-datadatabase
    GitHub पर देखें↗6,012
  • alibaba/alisqlalibaba का अवतार

    alibaba/AliSQL

    5,706GitHub पर देखें↗

    AliSQL is a fork of MySQL by Alibaba that extends the relational database management system with enhancements for high performance, scalability, and enterprise-grade availability. It retains the core MySQL identity as a SQL-based database for storing, organizing, and retrieving structured data, while adding optimizations for large-scale transactional and analytical workloads. The project differentiates itself through a set of Alibaba-specific improvements, including a columnar engine for accelerating analytical queries directly on MySQL tables, and a distributed, shared-nothing NDB Cluster en

    MySQL keeps replica clusters synchronized with the primary cluster using dedicated asynchronous replication channels.

    C++alisqldatabaseduckdb
    GitHub पर देखें↗5,706
  • elastic/elasticsearch-phpelastic का अवतार

    elastic/elasticsearch-php

    5,337GitHub पर देखें↗

    This project is a software development kit and cluster management tool for PHP. It serves as a full-text search SDK and vector search interface, enabling applications to perform lexical, fuzzy, and semantic searches against indexed data. The library implements a PSR 7 HTTP client to ensure cross-environment compatibility through standardized messaging interfaces. It provides a specialized interface for retrieving embeddings and performing semantic retrieval workflows using vector data. Its capability surface covers a wide range of administrative and operational tasks, including search index

    Provides capabilities to synchronize data between remote clusters for high availability.

    PHP
    GitHub पर देखें↗5,337
  • jeremyevans/sequeljeremyevans का अवतार

    jeremyevans/sequel

    5,076GitHub पर देखें↗

    Sequel is a relational database toolkit for Ruby that provides object-relational mapping, a fluent SQL query builder, and schema migration capabilities. It maps database tables to Ruby classes with support for associations, validations, lifecycle hooks, and eager loading, offering a comprehensive ORM layer for building data-centric applications. Sequel distinguishes itself through a plugin-based extension architecture that allows composable customization of models, databases, and datasets without relying on deep inheritance hierarchies. It includes a thread-safe connection pool with support f

    Publishes messages to named database channels and subscribes to receive them asynchronously across connections.

    Ruby
    GitHub पर देखें↗5,076
  • osixia/container-openldaposixia का अवतार

    osixia/container-openldap

    4,214GitHub पर देखें↗

    This project is a containerized deployment of an OpenLDAP server, providing a lightweight directory access protocol service for storing and retrieving organizational data and user credentials. It functions as a directory server for identity management and user authentication across network services. The service supports the creation of LDAP replication clusters to maintain data consistency across multiple hosts for high availability. It includes capabilities for secure connectivity through TLS encryption and certificate management to protect sensitive directory data during transmission. Addi

    Synchronizes directory entries across all cluster members to ensure local access and recovery.

    Shelldockerdocker-imageldap
    GitHub पर देखें↗4,214
  • ravendb/ravendbravendb का अवतार

    ravendb/ravendb

    3,961GitHub पर देखें↗

    RavenDB is a multi-model NoSQL document database designed for high-performance, ACID-compliant data storage. It persists structured information as schema-flexible JSON documents and utilizes a unit-of-work session pattern to track entity changes and batch modifications into atomic transactions. The platform is built on a distributed architecture that supports horizontal scaling through sharding and ensures high availability via multi-node, master-to-master cluster replication. The database distinguishes itself through a self-optimizing query engine that automatically creates and maintains ind

    Executes ACID-compliant writes across a cluster that are tolerant to network partitions.

    C#csharpdatabasedocument-database
    GitHub पर देखें↗3,961
  1. Home
  2. Data & Databases
  3. Data Replication
  4. Cross-Cluster Table Replication

सब-टैग एक्सप्लोर करें

  • Asynchronous Replication Channels1 सब-टैगDedicated asynchronous channels that keep replica clusters synchronized with a primary cluster. **Distinct from Cross-Cluster Table Replication:** Distinct from Cross-Cluster Table Replication: focuses on the dedicated asynchronous channel mechanism, not table-level checkpointing.
  • Cluster Data SynchronizersSynchronizes data across clusters to ensure high availability and disaster recovery. **Distinct from Cross-Cluster Table Replication:** Focuses on the synchronization of data between clusters for high availability, distinct from table-specific replication.
  • Cluster-Wide Data SynchronizersSynchronization of key-value entries across all cluster members for local access and recovery. **Distinct from Cross-Cluster Table Replication:** Distinct from Cross-Cluster Table Replication: focuses on intra-cluster synchronization of all entries, not cross-cluster table replication.
  • Cross-Cluster ReplicationSynchronization of indices and data patterns across separate search clusters for high availability. **Distinct from Cross-Cluster Table Replication:** Distinct from Cross-Cluster Table Replication: focuses on search index replication rather than relational table checkpointing.
  • Database Cluster ReplicationsSynchronization of data across database clusters to ensure high availability and consistency. **Distinct from Cross-Cluster Table Replication:** Distinct from Cross-Cluster Table Replication: focuses on database-wide cluster replication rather than specific table-level checkpointing.