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7 个仓库

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

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

    apache/hive

    6,012在 GitHub 上查看↗

    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
    在 GitHub 上查看↗6,012
  • alibaba/alisqlalibaba 的头像

    alibaba/AliSQL

    5,706在 GitHub 上查看↗

    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
    在 GitHub 上查看↗5,706
  • elastic/elasticsearch-phpelastic 的头像

    elastic/elasticsearch-php

    5,337在 GitHub 上查看↗

    该项目是 PHP 的软件开发工具包和集群管理工具。它作为一个全文搜索 SDK 和向量搜索接口,使应用程序能够对索引数据执行词法、模糊和语义搜索。 该库实现了 PSR 7 HTTP 客户端,通过标准化的消息接口确保跨环境兼容性。它提供了一个专门的接口,用于检索嵌入向量并使用向量数据执行语义检索工作流。 其功能涵盖了广泛的行政和操作任务,包括搜索索引管理、集群健康监控和文档生命周期操作。它支持多种查询方法,如 SQL、EQL 和 ES|QL,以及数据聚合和地理空间分析。此外,它还提供用于机器学习编排、异常检测以及身份和访问管理的工具。

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

    PHP
    在 GitHub 上查看↗5,337
  • jeremyevans/sequeljeremyevans 的头像

    jeremyevans/sequel

    5,076在 GitHub 上查看↗

    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
    在 GitHub 上查看↗5,076
  • osixia/container-openldaposixia 的头像

    osixia/container-openldap

    4,214在 GitHub 上查看↗

    本项目是一个 OpenLDAP 服务器的容器化部署方案,提供轻量级目录访问协议服务,用于存储和检索组织数据及用户凭据。它作为目录服务器,用于跨网络服务的身份管理和用户认证。 该服务支持创建 LDAP 复制集群,以保持跨多个主机的数据一致性,实现高可用性。它包括通过 TLS 加密和证书管理实现安全连接的功能,以保护传输过程中的敏感目录数据。 其他功能涵盖数据库管理,包括通过标准交换格式文件进行数据导入、通过卷映射实现持久化存储,以及自动备份和恢复流程。该系统还提供通过命令行界面管理目录条目以及通过环境变量配置服务器设置的工具。

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

    Shelldockerdocker-imageldap
    在 GitHub 上查看↗4,214
  • ravendb/ravendbravendb 的头像

    ravendb/ravendb

    3,961在 GitHub 上查看↗

    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
    在 GitHub 上查看↗3,961
  1. Home
  2. Data & Databases
  3. Data Replication
  4. Cross-Cluster Table Replication

探索子标签

  • Asynchronous Replication Channels1 个子标签Dedicated 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.