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7 repositorios

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

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • 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 key-value entries across all cluster members to ensure high-speed local access and automatic data recovery.

    Javabig-datacachingdata-in-motion
    Ver en GitHub↗6,570
  • apache/hiveAvatar de apache

    apache/hive

    6,012Ver en GitHub↗

    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
    Ver en GitHub↗6,012
  • alibaba/alisqlAvatar de alibaba

    alibaba/AliSQL

    5,706Ver en GitHub↗

    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
    Ver en GitHub↗5,706
  • elastic/elasticsearch-phpAvatar de elastic

    elastic/elasticsearch-php

    5,337Ver en GitHub↗

    Este proyecto es un kit de desarrollo de software (SDK) y una herramienta de gestión de clústeres para PHP. Sirve como SDK de búsqueda de texto completo e interfaz de búsqueda vectorial, permitiendo a las aplicaciones realizar búsquedas léxicas, difusas y semánticas sobre datos indexados. La librería implementa un cliente HTTP PSR 7 para garantizar la compatibilidad entre entornos mediante interfaces de mensajería estandarizadas. Proporciona una interfaz especializada para recuperar embeddings y realizar flujos de trabajo de recuperación semántica utilizando datos vectoriales. Su superficie de capacidades abarca una amplia gama de tareas administrativas y operativas, incluyendo la gestión de índices de búsqueda, monitoreo de salud del clúster y operaciones del ciclo de vida de documentos. Admite diversos métodos de consulta como SQL, EQL y ES|QL, junto con agregación de datos y análisis geoespacial. Además, proporciona herramientas para la orquestación de machine learning, detección de anomalías y gestión de identidad y acceso.

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

    PHP
    Ver en GitHub↗5,337
  • jeremyevans/sequelAvatar de jeremyevans

    jeremyevans/sequel

    5,076Ver en GitHub↗

    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
    Ver en GitHub↗5,076
  • osixia/container-openldapAvatar de osixia

    osixia/container-openldap

    4,214Ver en GitHub↗

    Este proyecto es un despliegue contenedorizado de un servidor OpenLDAP, proporcionando un servicio de protocolo ligero de acceso a directorios para almacenar y recuperar datos organizacionales y credenciales de usuario. Funciona como un servidor de directorio para la gestión de identidad y la autenticación de usuarios a través de servicios de red. El servicio admite la creación de clústeres de replicación LDAP para mantener la consistencia de los datos a través de múltiples hosts para alta disponibilidad. Incluye capacidades para conectividad segura a través de cifrado TLS y gestión de certificados para proteger datos de directorio sensibles durante la transmisión. Las capacidades adicionales cubren la administración de bases de datos, incluyendo la siembra de datos a través de archivos de formato de intercambio estándar, almacenamiento persistente mediante mapeo de volúmenes y procesos automatizados de copia de seguridad y restauración. El sistema también proporciona herramientas para gestionar entradas de directorio a través de una interfaz de línea de comandos y configurar los ajustes del servidor mediante variables de entorno.

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

    Shelldockerdocker-imageldap
    Ver en GitHub↗4,214
  • ravendb/ravendbAvatar de ravendb

    ravendb/ravendb

    3,961Ver en GitHub↗

    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
    Ver en GitHub↗3,961
  1. Home
  2. Data & Databases
  3. Data Replication
  4. Cross-Cluster Table Replication

Explorar subetiquetas

  • Asynchronous Replication Channels1 sub-etiquetaDedicated 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.