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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
go-cache is a thread-safe, in-memory key-value store for single-machine applications. It provides a local caching mechanism that stores objects in RAM to reduce redundant data retrieval and avoid the overhead of network protocols or serialization. The system features a persistent cache store that saves the in-memory state to a local file, allowing data recovery across application restarts. The project manages concurrent data access across multiple routines and implements time-to-live expiration for cached entries. A background process periodically scans the store to delete expired items and
go-cache is a thread-safe, in-memory cache library for Go that stores arbitrary objects with per-item expiration timestamps. It provides a concurrent key-value store where multiple goroutines can safely read and write shared cached data without external synchronization, using a mutex-guarded map for access control. The library distinguishes itself through its expiration management and optional disk persistence. Each cached item carries its own time-to-live, and a background goroutine periodically purges expired entries. The cache can serialize its entire contents to disk using Go's gob encodi
Redis is a high-performance in-memory key-value store that functions as a distributed cache, message broker, and NoSQL database. It provides sub-millisecond read and write access to data stored in RAM and can operate as a vector database for indexing high-dimensional embeddings. The system supports a wide range of data storage and synchronization primitives, including the management of strings, hashes, lists, sets, and JSON documents. It enables real-time data operations through atomic transactions, hybrid persistence using snapshots and append-only logs, and high-availability configurations
Node-cache is a lightweight in-memory data storage module designed for Node.js applications. It functions as a key-value store that maintains frequently accessed data directly within the application runtime to improve response times and reduce latency.
The main features of ptarjan/node-cache are: In-Memory Data Stores, TTL Expiration Management, Entry Expiration Policies, Node.js Caches, Key-Value Stores, Cache Value Retrievals, In-Memory State Maps, Cache Expiration Management.
Open-source alternatives to ptarjan/node-cache include: hazelcast/hazelcast — Hazelcast is a distributed data platform that combines an in-memory data grid with a stream processing engine to… pmylund/go-cache — go-cache is a thread-safe, in-memory key-value store for single-machine applications. It provides a local caching… patrickmn/go-cache — go-cache is a thread-safe, in-memory cache library for Go that stores arbitrary objects with per-item expiration… tporadowski/redis — Redis is a high-performance in-memory key-value store that functions as a distributed cache, message broker, and NoSQL… redis/go-redis — This project is a feature-rich Go client library designed for interacting with Redis. It serves as a comprehensive… valkey-io/valkey — Valkey is an in-memory, NoSQL database server designed for high-performance data storage and real-time state…