ptarjan/node-cache

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