3 repositorios
Awesome GitHub RepositoriesDistributed Collections
Thread-safe data collections shared across multiple nodes in a distributed system.
Distinct from Thread-Safe Collection Wrappers: None of the candidates cover the concept of sharing standard collections like Maps and Sets across a network cluster.
Explore 3 awesome GitHub repositories matching data & databases · Distributed Collections. Refine with filters or upvote what's useful.
Awesome Distributed Collections GitHub Repositories
Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
- mrniko/redisson
mrniko/redisson
24,355Ver en GitHubRedisson is a Java client library for Redis and Valkey that provides a distributed data structure library, a distributed lock manager, and a distributed MapReduce framework. It enables application instances in a cluster to share state through thread-safe collections and objects. The project implements a JCache compliant caching layer for standardized data storage and retrieval. It also functions as a probabilistic data store, providing memory-efficient structures such as Bloom filters and HyperLogLog for high-volume data membership testing. The library covers distributed state management usi
Implements distributed thread-safe maps, sets, lists, and queues for sharing state between application nodes.
Java - redisson/redisson
redisson/redisson
24,355Ver en GitHubRedisson is a Java library and Redis client that functions as a distributed Java object mapper, caching provider, and locking framework. It maps Java collections and concurrency primitives to distributed implementations backed by Redis and Valkey, providing synchronous, asynchronous, and reactive APIs for interacting with these data stores. The project distinguishes itself by providing a comprehensive suite of distributed coordination tools, including a locking framework for managing semaphores and countdown latches across multiple application nodes. It also serves as a distributed messaging
Provides thread-safe, shared distributed implementations of standard Java collections like maps, sets, lists, and queues.
Java - hazelcast/hazelcast
hazelcast/hazelcast
6,570Ver en GitHubHazelcast 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
Provides distributed versions of standard data structures like maps, queues, and lists for shared access across a cluster.
Javabig-datacachingdata-in-motion
