Awesome GitHub RepositoriesReactive Databases

This project is a comprehensive reference collection of practical implementation examples and patterns for building applications with Spring Boot. It serves as a Java web application template and a showcase for developing functional web services featuring REST endpoints, template engines, and global exception handling. The repository distinguishes itself by providing detailed demonstrations of enterprise-grade features, including distributed locking, task scheduling, and asynchronous message exchange using brokers like RabbitMQ. It also includes reference implementations for automated API doc

SurrealDB is a multi-model database engine designed to store and query document, graph, relational, and vector data within a single ACID-compliant platform. It functions as an AI-native data store, integrating vector search, graph traversal, and machine learning model execution directly into its query layer. By providing a unified declarative query language, the platform eliminates the need for external middleware to synchronize data across different storage models. The platform distinguishes itself through its ability to manage agent memory and complex workflows natively. It allows developer

This project is a reactive, offline-first NoSQL database engine designed for JavaScript applications. It provides a robust framework for managing application state by synchronizing data across browsers, mobile devices, and server-side runtimes. By treating local storage as the primary source of truth, it enables applications to remain functional without network connectivity, automatically reconciling changes with remote backends once a connection is restored. The database distinguishes itself through a modular architecture that supports cross-environment synchronization and high-performance d

Realm-Cocoa is a NoSQL mobile database engine and reactive object database designed for local data storage on mobile devices. It serves as a non-relational alternative to Core Data and SQLite, storing data as objects rather than tables. The system functions as an encrypted local store that protects sensitive application data using encryption. It provides reactive data synchronization, allowing application objects and user interfaces to update automatically when the underlying database changes.

Quarkus is a Kubernetes-native Java framework designed for building high-performance, memory-efficient applications. It utilizes ahead-of-time native compilation to transform Java code into standalone, optimized binaries that eliminate the need for a virtual machine, enabling rapid startup and reduced memory consumption. By performing code augmentation during the build phase, it shifts heavy processing tasks away from runtime, ensuring that applications are optimized for cloud-native environments. The framework distinguishes itself through a unified approach to reactive and imperative program

Dexie.js is a wrapper library for IndexedDB that provides a simplified interface for managing and querying structured data within the browser. It functions as a browser database manager used to maintain persistent application state and store binary blobs and records. The project serves as an offline-first data store that synchronizes browser data with remote servers to maintain consistency across sessions. It also acts as a reactive database store by monitoring data changes in real time to trigger automatic user interface updates, and functions as a client-side search engine for indexing and

WatermelonDB is an offline-first data synchronization engine and reactive database library designed for mobile and web applications. It provides a persistent storage layer backed by SQLite, enabling applications to maintain full functionality and data consistency while operating without an internet connection. The framework distinguishes itself through a reactive data binding system that automatically updates user interface components whenever underlying database records change. It utilizes schema-driven model mapping to generate type-safe interfaces and employs lazy object materialization to

Realm Java is a NoSQL mobile object database and reactive database engine. It provides a persistent local data store that saves native objects directly to disk, replacing traditional SQL storage and object-relational mapping layers. The system functions as a real-time data synchronizer, coordinating local database changes with a cloud backend across multiple devices. It integrates a reactive engine that uses change listeners and asynchronous event streams to automatically update user interfaces when underlying data changes. The project covers object-oriented data modeling, CRUD operations, a

This project is a Spring Boot administrative framework and enterprise backend boilerplate designed for building management systems. It provides a foundation for enterprise-level applications using a reactive programming model and non-blocking data access patterns. The framework includes a reactive CRUD system for database operations and a role-based access control system to manage user accounts and administrative permissions. It further distinguishes itself with a centralized data dictionary for maintaining standardized labels and values across application modules. The system's broader capab

Apache Tomcat is an open-source implementation of the Jakarta Servlet, Pages, Expression Language, and WebSocket specifications, serving as a container for running Java web applications. It provides a modular architecture with a servlet container, connector abstraction for multiple I/O models, and a pipeline-based request processing system that handles cross-cutting concerns through composable components. The server supports container-managed security with configurable realms for authentication against JDBC, LDAP, or memory-based credential stores, and offers TLS encryption with optional Open

Horizon is a realtime API server and RethinkDB backend designed to push database changes instantly to front-end clients. It utilizes a WebSocket data streaming API to synchronize data between the database and user interfaces without requiring manual polling. The project integrates an OAuth identity manager for verifying user identities through third-party providers and a role-based access control system to define granular permissions for viewing or modifying database documents. It is delivered as a containerized backend framework, allowing the server and its dependencies to be deployed as a p

jOOQ is a type-safe SQL query builder for Java that generates code from live database schemas, enabling compile-time validation of SQL syntax and data types. Its core identity is built around a fluent DSL that mirrors SQL structure, a code generator that maps tables, views, and routines to Java objects, and a multi-dialect engine that translates the same DSL into vendor-specific SQL for over 30 databases. The project also includes a SQL parser and transformer for refactoring or dialect conversion, reactive stream integration for non-blocking query execution, and a JDBC proxy diagnostics tool f

Tortoise ORM is an asynchronous object-relational mapper for Python that mirrors Django's model and queryset API while running on asyncio. It defines database tables as Python classes with typed fields and supports foreign key, many-to-many, and one-to-one relations, providing a chainable query API for filtering, annotating, grouping, and prefetching related objects without blocking the event loop. The ORM includes a built-in migration engine that detects model changes, generates migration files, and applies or reverts schema changes through a command-line tool. It connects to PostgreSQL, MyS

Ce projet est une implémentation de référence fournissant une collection d'exemples pratiques pour les patterns d'accès aux données et les abstractions de dépôt au sein de l'écosystème Spring Data. Il sert de vitrine complète pour implémenter des couches de données cohérentes à travers diverses bases de données relationnelles et non relationnelles. Le dépôt démontre spécifiquement la persistance multi-store en intégrant des bases de données relationnelles, documentaires et vectorielles au sein d'une seule application. Il inclut des implémentations pour la recherche vectorielle afin de gérer des plongements de haute dimension et des recherches de similarité à travers différentes technologies de base de données. Les capacités supplémentaires couvertes incluent l'accès aux données réactif pour les opérations non bloquantes et les flux de données asynchrones. Le projet fournit également des conseils sur l'optimisation des images natives pour améliorer les performances de démarrage et l'utilisation de la mémoire via la compilation ahead-of-time. Les exemples illustrent en outre l'isolation des données multi-tenant, la conception d'API de dépôt de données et l'intégration de la recherche géospatiale et plein texte.

Ce projet est un gestionnaire de source de données dynamique pour Spring Boot conçu pour gérer plusieurs connexions de base de données et basculer entre elles au moment de l'exécution. Il fournit un système pour gérer la séparation lecture-écriture de la base de données, coordonner les transactions distribuées à travers des bases de données disparates et mettre à jour les paramètres de connexion sans nécessiter de redémarrage de l'application. Le framework se différencie par sa capacité à router le trafic en fonction des sessions ou des en-têtes des utilisateurs pour prendre en charge les architectures multi-tenant. Il inclut également un mécanisme pour chiffrer les justificatifs de base de données sensibles dans les fichiers de configuration afin d'éviter l'exposition en texte clair. La surface de capacités s'étend au routage de connexion de base de données, à la séparation lecture-écriture entre les nœuds maître et esclave, et à l'initialisation de connexion différée pour réduire le temps de démarrage. Il gère en outre la cohérence des données par le biais d'un contrôle de transaction centralisé et prend en charge l'ajout ou la suppression au moment de l'exécution des configurations de connexion de base de données.

Realm Kotlin is a local, object-oriented NoSQL database engine designed for Kotlin Multiplatform applications. It enables developers to persist structured application data directly as objects, eliminating the need for traditional relational table structures while ensuring information remains accessible during offline periods. The library distinguishes itself through a compiler-plugin-based architecture that maps standard language classes to database models at compile time. It utilizes zero-copy memory mapping and a lazy-loading query engine to manage data efficiently, while a shared C++ core