Was sind die Hauptfunktionen von ptarjan/node-cache?

Die Hauptfunktionen von ptarjan/node-cache sind: 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.

Welche Open-Source-Alternativen gibt es zu ptarjan/node-cache?

Open-Source-Alternativen zu ptarjan/node-cache sind unter anderem: 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…

Node Cache

Node-cache ist ein leichtgewichtiges In-Memory-Datenspeichermodul, das für Node.js-Anwendungen konzipiert wurde. Es fungiert als Key-Value-Store, der häufig abgerufene Daten direkt innerhalb der Anwendungslaufzeit beibehält, um Antwortzeiten zu verbessern und die Latenz zu reduzieren.

Die Bibliothek verwaltet den Lebenszyklus gespeicherter Informationen durch automatisierte Ablaufrichtlinien, die interne Timer verwenden, um veraltete Einträge zu entfernen, sobald eine definierte Time-to-Live-Dauer abgelaufen ist. Sie bietet eine granulare Kontrolle über gespeicherte Ressourcen, was die manuelle Inspektion, Löschung oder das Leeren spezifischer Schlüssel ermöglicht, um die Speichernutzung effektiv zu verwalten.

Über die grundlegende Speicherung hinaus enthält das Modul Observability-Tools, die Cache-Hits, Misses und die Gesamtzahl der Einträge verfolgen, um bei der Bewertung der Speichereffizienz zu helfen. Es unterstützt zudem die Zustandspersistenz durch die Bereitstellung von Dienstprogrammen zur Serialisierung des gesamten Cache-Inhalts in ein JSON-Format, was die Datenmigration oder Zustandswiederherstellung über Anwendungsumgebungen hinweg erleichtert.

Features

In-Memory Data Stores - Stores frequently accessed data in application memory to reduce latency for Node.js backend services.
TTL Expiration Management - Implements automatic removal of stale entries using internal timers based on defined time-to-live durations.
Entry Expiration Policies - Automates the removal of stale information to reclaim memory and ensure data remains current.
Node.js Caches - Provides a lightweight storage module for keeping key-value pairs in Node.js application memory.
Key-Value Stores - Functions as a lightweight local key-value store for managing temporary application data.
Cache Value Retrievals - Enables efficient storage and retrieval of key-value pairs with safe handling of missing or expired items.
In-Memory State Maps - Uses standard JavaScript objects as key-value structures to provide constant-time access to cached application state.
Cache Expiration Management - Manages the lifecycle of cached items through automated expiration policies to ensure data freshness.
Cache Key Management - Provides administrative tools to inspect, clear, or delete specific keys to maintain precise control over memory usage.
Node.js Development Utilities - Acts as a performance utility to improve application response times by caching data within the runtime.
Cache Efficiency Metrics - Provides internal event signals for cache hits and misses to enable real-time monitoring of storage efficiency.
Cache Performance Monitoring - Tracks cache hits, misses, and entry counts to evaluate storage efficiency and identify performance bottlenecks.

Star-Verlauf

ptarjannode-cache

Name: ptarjan/node-cache
Author: ptarjan

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1,595 Stars172 ForksJavaScriptBSD-2-Clause9 Aufrufe

Node Cache

Features

In-Memory Data Stores - Stores frequently accessed data in application memory to reduce latency for Node.js backend services.
TTL Expiration Management - Implements automatic removal of stale entries using internal timers based on defined time-to-live durations.
Entry Expiration Policies - Automates the removal of stale information to reclaim memory and ensure data remains current.
Node.js Caches - Provides a lightweight storage module for keeping key-value pairs in Node.js application memory.
Key-Value Stores - Functions as a lightweight local key-value store for managing temporary application data.
Cache Value Retrievals - Enables efficient storage and retrieval of key-value pairs with safe handling of missing or expired items.
In-Memory State Maps - Uses standard JavaScript objects as key-value structures to provide constant-time access to cached application state.
Cache Expiration Management - Manages the lifecycle of cached items through automated expiration policies to ensure data freshness.
Cache Key Management - Provides administrative tools to inspect, clear, or delete specific keys to maintain precise control over memory usage.
Node.js Development Utilities - Acts as a performance utility to improve application response times by caching data within the runtime.
Cache Efficiency Metrics - Provides internal event signals for cache hits and misses to enable real-time monitoring of storage efficiency.
Cache Performance Monitoring - Tracks cache hits, misses, and entry counts to evaluate storage efficiency and identify performance bottlenecks.

Open-Source-Alternativen zu Node Cache

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hazelcast/hazelcast
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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
Javabig-datacachingdata-in-motion
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pmylund/go-cache
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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
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patrickmn/go-cache
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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
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tporadowski/redis
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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
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Alle 30 Alternativen zu Node Cache anzeigen

Kuratierte Suchen mit Node Cache

Handverlesene Sammlungen, in denen Node Cache vorkommt.

In-Memory Key-Value-Stores

Häufig gestellte Fragen

Was macht ptarjan/node-cache?