Awesome GitHub RepositoriesCross-Cluster Table Replication

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

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

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

Ce projet est un kit de développement logiciel (SDK) et un outil de gestion de cluster pour PHP. Il sert de SDK de recherche plein texte et d'interface de recherche vectorielle, permettant aux applications d'effectuer des recherches lexicales, floues et sémantiques sur des données indexées. La bibliothèque implémente un client HTTP PSR 7 pour assurer la compatibilité inter-environnements via des interfaces de messagerie standardisées. Elle fournit une interface spécialisée pour récupérer des embeddings et effectuer des flux de travail de recherche sémantique en utilisant des données vectorielles. Sa surface de capacités couvre un large éventail de tâches administratives et opérationnelles, notamment la gestion des index de recherche, la surveillance de la santé des clusters et les opérations sur le cycle de vie des documents. Elle prend en charge diverses méthodes de requête telles que SQL, EQL et ES|QL, ainsi que l'agrégation de données et l'analyse géospatiale. De plus, elle fournit des outils pour l'orchestration du machine learning, la détection d'anomalies et la gestion des identités et des accès.

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

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

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