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Back to ptarjan/node-cache

Open-source alternatives to Node Cache

30 open-source projects similar to ptarjan/node-cache, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Node Cache alternative.

  • hazelcast/hazelcasthazelcast avatar

    hazelcast/hazelcast

    6,570View on GitHub↗

    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
    View on GitHub↗6,570
  • pmylund/go-cachepmylund avatar

    pmylund/go-cache

    8,828View on GitHub↗

    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
    View on GitHub↗8,828
  • patrickmn/go-cachepatrickmn avatar

    patrickmn/go-cache

    8,828View on GitHub↗

    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

    Gocachegolibrary
    View on GitHub↗8,828

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  • tporadowski/redistporadowski avatar

    tporadowski/redis

    9,987View on GitHub↗

    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

    Credisredis-for-windowsredis-msi-installer
    View on GitHub↗9,987
  • redis/go-redisredis avatar

    redis/go-redis

    22,159View on GitHub↗

    This project is a feature-rich Go client library designed for interacting with Redis. It serves as a comprehensive interface for managing remote data stores, enabling developers to execute standard database commands, handle complex data structures, and perform asynchronous operations within Go applications. The library distinguishes itself through its support for advanced Redis capabilities, including connection pooling, pipelining, and transactional integrity. It provides specialized primitives for managing distributed clusters, including automated topology updates and request routing to sha

    Gogogolangredis
    View on GitHub↗22,159
  • valkey-io/valkeyvalkey-io avatar

    valkey-io/valkey

    24,875View on GitHub↗

    Valkey is an in-memory, NoSQL database server designed for high-performance data storage and real-time state management. It operates as a distributed key-value store, maintaining datasets entirely within system memory to facilitate sub-millisecond response times for read and write operations. The system distinguishes itself through a single-threaded event loop that utilizes asynchronous I/O multiplexing to ensure high throughput. It supports high availability via master-replica replication and provides a decoupled communication model through a built-in publish-subscribe messaging pattern. To

    Ccachedatabasekey-value
    View on GitHub↗24,875
  • huangzworks/redis-3.0-annotatedhuangzworks avatar

    huangzworks/redis-3.0-annotated

    10,172View on GitHub↗

    This project provides a version of the Redis 3.0 codebase featuring detailed technical commentary and annotations. It serves as a technical resource for studying the internal design and implementation of an in-memory key-value store and the architecture of a networked NoSQL database. The documentation focuses on the implementation of the Redis Sentinel system, covering the mechanisms used for monitoring instance health, managing automatic failover, and notifying clients of primary node changes. The project covers broader architectural areas including in-memory data storage, high availability

    C
    View on GitHub↗10,172
  • allegro/bigcacheallegro avatar

    allegro/bigcache

    8,140View on GitHub↗

    Bigcache is a thread-safe, in-memory key-value store for Go designed to minimize garbage collection pauses. It functions as a memory-optimized cache capable of storing gigabytes of data while maintaining low latency during high-volume operations. The system avoids garbage collection overhead by managing memory through large byte arrays and manual allocation. It utilizes a circular-buffer layout to reuse space and lock-striped sharding to reduce contention during concurrent read and write access. The project provides capabilities for high-volume in-memory caching and low-latency data retrieva

    Go
    View on GitHub↗8,140
  • dokploy/dokployDokploy avatar

    Dokploy/dokploy

    34,901View on GitHub↗

    Dokploy is a self-hosted platform-as-a-service designed to simplify the deployment and management of containerized applications and databases. It provides a centralized control plane that decouples administrative management from application workloads, allowing users to oversee infrastructure across multiple server nodes through a unified web interface or a command-line tool. The platform distinguishes itself through an extensive library of pre-configured application templates, enabling the rapid deployment of databases, identity providers, and various productivity or development tools. It sup

    TypeScriptbackendbackupsdatabases
    View on GitHub↗34,901
  • etcd-io/bboltetcd-io avatar

    etcd-io/bbolt

    9,573View on GitHub↗

    bbolt is an ACID-compliant embedded key-value store for Go applications. It persists all data in a single memory-mapped file on disk, organizing information using B+ trees to facilitate sorted key iteration and efficient range queries. The project distinguishes itself through a hierarchical data organization model, allowing buckets to be nested within other buckets to create a tree-like structure. It employs a single-writer, multi-reader locking mechanism and copy-on-write transactions to ensure serializable isolation and data integrity. The system includes comprehensive data management capa

    Go
    View on GitHub↗9,573
  • isar/hiveisar avatar

    isar/hive

    4,390View on GitHub↗

    Hive is a lightweight NoSQL key-value database written in pure Dart for local data persistence. It functions as a type-safe document store that allows for the saving and retrieval of complex data structures and custom objects. The system distinguishes itself through the use of custom adapters for object serialization and symmetric-key encryption to secure data at rest. For web environments, it provides a persistence layer that wraps IndexedDB and utilizes web workers. The project covers broad capability areas including container management, atomic transactional writes, and indexed data retri

    Dartdartdatabaseencryption
    View on GitHub↗4,390
  • boltdb/boltboltdb avatar

    boltdb/bolt

    14,642View on GitHub↗

    Bolt is a single-file embedded key-value store for Go applications. It is an ACID transactional database that organizes data in B+trees on disk to provide efficient sorted key retrieval and range scans. The system uses a memory-mapped model to map the database file directly into the process address space for fast random-access reads. The project distinguishes itself through a multi-version concurrency control architecture that allows multiple simultaneous readers to access a consistent snapshot of data without blocking a writer. It employs a single-writer multi-reader locking model and uses a

    Go
    View on GitHub↗14,642
  • olric-data/olricolric-data avatar

    olric-data/olric

    3,469View on GitHub↗

    Olric is a distributed data grid and in-memory key-value store that partitions and replicates data across a cluster of servers. It serves as a shared memory system for managing distributed maps, performing atomic operations, and acting as an in-memory data cache. The system provides a distributed locking mechanism for concurrency control and a pub-sub messaging system that broadcasts and routes messages over named channels across the cluster. The platform covers wide-ranging capabilities including cluster management and orchestration, data replication with configurable quorums, and automated

    Gocachedatabasedistributed-cache
    View on GitHub↗3,469
  • apify/crawleeapify avatar

    apify/crawlee

    24,002View on GitHub↗

    Crawlee is a web scraping framework designed for building scalable, reliable, and distributed data extraction pipelines. It provides a unified interface for managing headless browser automation and lightweight HTTP requests, allowing developers to handle complex web navigation, dynamic content rendering, and large-scale data collection within a single, modular architecture. The project distinguishes itself through its resource-aware concurrency controller, which dynamically scales task execution based on real-time CPU and memory usage to prevent host machine exhaustion. It also features a rob

    TypeScriptapifyautomationcrawler
    View on GitHub↗24,002
  • isaacs/node-lru-cacheisaacs avatar

    isaacs/node-lru-cache

    5,895View on GitHub↗

    node-lru-cache is a key-value store for Node.js that implements a memory-limited cache. It prevents memory exhaustion by capping the total number of items or total byte size, automatically evicting the least-recently-used items to maintain these limits. The project provides specialized caching patterns, including time-to-live durations to ensure data freshness and a stale-while-revalidate mechanism that serves expired content while asynchronously fetching updates in the background. It also includes diagnostic tools for monitoring cache hits, misses, and eviction metrics through operational st

    JavaScript
    View on GitHub↗5,895
  • codeigniter4/codeigniter4codeigniter4 avatar

    codeigniter4/CodeIgniter4

    5,924View on GitHub↗

    CodeIgniter is a PHP web framework built on the Model-View-Controller pattern, designed for building full-stack web applications. It provides a lightweight toolkit with minimal configuration, organizing application logic into controllers, models, and views for clean separation of concerns. The framework includes a fluent query builder for constructing SQL statements programmatically, PSR-4 autoloading with namespace mapping, and a service-based dependency injection container for managing shared class instances. The framework distinguishes itself through its comprehensive set of built-in tools

    PHPcodeignitercodeigniter4framework-php
    View on GitHub↗5,924
  • redis-windows/redis-windowsredis-windows avatar

    redis-windows/redis-windows

    3,485View on GitHub↗

    This project is a native Windows port of the Redis in-memory key-value store. It provides a high-speed database that maintains datasets in RAM while using periodic snapshots to disk for data persistence. The implementation includes a background system service wrapper, allowing the data store to be installed as a Windows service that starts automatically upon computer boot. It utilizes native Windows compilation to enable execution directly on the host operating system. The system covers in-memory data caching and local data persistence, ensuring that information is recovered after a process

    Batchfileredisredis-for-windowsredis-server
    View on GitHub↗3,485
  • hosseinmoein/dataframehosseinmoein avatar

    hosseinmoein/DataFrame

    2,917View on GitHub↗

    DataFrame is a C++ tabular data library and manipulation engine designed for managing heterogeneous data in contiguous memory. It functions as a statistical analysis framework and time series analysis toolkit, providing the means to store, index, and transform multidimensional datasets. The project distinguishes itself through a high-performance execution model that utilizes column-major storage, SIMD-aligned memory allocation, and a thread-pool for parallel computations. It employs a visitor-based algorithm dispatch system and policy-driven transformations to decouple data processing logic f

    C++aicppdata-analysis
    View on GitHub↗2,917
  • snapchat/keydbSnapchat avatar

    Snapchat/KeyDB

    12,487View on GitHub↗

    KeyDB is a multithreaded in-memory key-value store and distributed cache. It functions as a NoSQL database utilizing multi-version concurrency control to execute non-blocking queries and scans. The project is a multithreaded fork of Redis that maintains protocol compatibility while utilizing a multithreaded architecture to scale across multi-core hardware. It distinguishes itself with flash-tiered storage, allowing the system to offload data from primary RAM to SSD or flash storage to increase total capacity. The system supports high availability through active-active mesh replication and mu

    C++
    View on GitHub↗12,487
  • ben-manes/caffeineben-manes avatar

    ben-manes/caffeine

    17,706View on GitHub↗

    Caffeine is a high-performance caching library for the Java virtual machine designed to manage object lifecycles within the application heap. It functions as a thread-safe, memory-resident data store that reduces latency by keeping frequently accessed objects available for immediate retrieval. The library distinguishes itself through a sophisticated eviction strategy that balances recency and frequency to determine which entries to retain. It utilizes a frequency-based admission policy to evaluate the historical access patterns of new data, ensuring that the cache remains populated with the m

    Java
    View on GitHub↗17,706
  • miragejs/miragejsmiragejs avatar

    miragejs/miragejs

    5,527View on GitHub↗

    Mirage JS is a browser-based mock server and client-side API simulator designed for JavaScript application development. It functions as a mocking tool that intercepts network requests to simulate backend API behavior, allowing developers to build and test frontend interfaces without requiring live backend infrastructure. The tool provides a simulation layer that mimics REST endpoints to facilitate rapid prototyping of user flows and application logic. It enables the creation of fake server responses directly within the web browser to verify how an application handles various data scenarios an

    JavaScript
    View on GitHub↗5,527
  • microsoft/fastermicrosoft avatar

    microsoft/FASTER

    6,606View on GitHub↗

    FASTER is a high-throughput key-value store that combines an in-memory data store with a hybrid memory-disk storage engine, enabling datasets larger than available RAM. It uses a latch-free, cache-optimized index for concurrent point lookups and heavy updates, and records all mutations to a persistent append-only log on disk with checksum validation and group-commit checkpointing for crash recovery. The system supports multi-key transactional workloads through atomic multi-key locking, ensuring transactional consistency without coarse-grained contention. It exposes the key-value store to remo

    C#concurrenthash-tableindexing
    View on GitHub↗6,606
  • sj26/mailcatchersj26 avatar

    sj26/mailcatcher

    6,762View on GitHub↗

    Mailcatcher is a local email development proxy and SMTP server mock designed to intercept outgoing emails during development. It acts as a network bridge that catches outbound mail on a specified port and displays it in a web-based inspector instead of delivering messages to real recipients. The tool provides a web-based email viewer for reviewing HTML, plain text, and raw source content, along with an interface for inspecting headers and downloading attachments. It utilizes a RESTful JSON API to serve captured mail as structured data to the browser interface. The system includes a TCP socke

    Rubydevelopmentdevtoolsmail
    View on GitHub↗6,762
  • tonsky/datascripttonsky avatar

    tonsky/datascript

    5,767View on GitHub↗

    Datascript is an immutable, in-memory state store and schema-based triple store. It manages application state as a versioned database, storing data as immutable facts consisting of an entity, attribute, value, and transaction. The project provides a logic engine for executing Datalog queries with support for implicit joins, recursive rules, and negation. It also features a declarative pull API for retrieving deeply nested entity graphs and related data structures. The database enforces data integrity through schema-driven constraints and attribute types. It supports atomic transactions, plug

    Clojure
    View on GitHub↗5,767
  • louischatriot/nedblouischatriot avatar

    louischatriot/nedb

    13,540View on GitHub↗

    NeDB is a JavaScript embedded NoSQL document store designed for Node.js and the browser. It functions as an in-memory data store with the option to persist documents to a local file system, ensuring data survives application restarts. The project utilizes a MongoDB-compatible API to perform data operations, allowing it to serve as a lightweight document indexing system and a persistent file database without requiring a separate database server. Capabilities include querying, inserting, updating, and deleting documents, as well as the ability to create indexes on specific fields to accelerate

    JavaScript
    View on GitHub↗13,540
  • facebookincubator/cinderfacebookincubator avatar

    facebookincubator/cinder

    3,764View on GitHub↗

    Cinder is a high-performance Python runtime implementation based on CPython. It is designed as an execution environment optimized for large-scale distributed systems and cloud environments. The project integrates a distributed memory cache and an asynchronous memory layer to manage data across multiple network nodes. It also provides a native C extension framework for developing high-performance compiled modules that link directly into the interpreter memory space. The system covers capabilities for asynchronous data retrieval, large-scale execution, and the integration of embedded scripting

    Pythoncompilerinterpreterjit
    View on GitHub↗3,764
  • marcuswestin/store.jsmarcuswestin avatar

    marcuswestin/store.js

    13,983View on GitHub↗

    Store.js is a client-side state persistence library and web storage abstraction layer. It provides a consistent browser key-value storage wrapper that manages the persistence of application state across sessions using the most capable available local storage mechanism. The engine is extensible, allowing for the integration of custom storage backends and plugins to modify how data is read and written. It functions as a reactive web storage manager, monitoring specific keys to trigger notifications when stored values are updated. The library handles automatic data serialization for complex typ

    JavaScriptcross-browserjavascriptlocalstorage
    View on GitHub↗13,983
  • hdt3213/godisHDT3213 avatar

    HDT3213/godis

    3,836View on GitHub↗

    Godis is a Redis-compatible in-memory database and distributed key-value store. It functions as a replicated data store and distributed message broker, implementing the Redis protocol to manage complex data structures in memory. The system provides a geospatial indexing engine for proximity-based queries and distance calculations. It ensures high availability and data durability through master-slave replication and write-ahead logging. The project covers a wide range of capabilities including the management of strings, hash maps, lists, and sorted sets. It supports distributed data clusterin

    Goclustergogodis
    View on GitHub↗3,836
  • ledisdb/ledisdbledisdb avatar

    ledisdb/ledisdb

    4,119View on GitHub↗

    LedisDB is a distributed NoSQL key-value store built in Go. It functions as a high-performance database server that persists simple values, counters, and complex data structures using pluggable storage engines. The system implements the Redis protocol to maintain compatibility with existing client libraries and drivers, while also providing an HTTP interface that exposes database functions through JSON, BSON, or msgpack formats. It includes an embedded virtual machine to execute custom server-side Lua scripts for complex operations. The platform supports high availability through data replic

    Gogolanggoleveldbledisdb
    View on GitHub↗4,119
  • dicedb/dicedbdicedb avatar

    dicedb/dicedb

    10,759View on GitHub↗

    DiceDB is a distributed cache manager and hierarchical storage engine based on a Valkey key-value store. It functions as a high-availability key-value cluster that balances performance and cost by distributing data across memory and disk tiers. The system supports working sets larger than available RAM by persisting evicted keys to disk and restoring them on demand. It also includes a real-time query subscription system that notifies clients when data matching specific criteria is updated. The project provides distributed cache coordination through master node health monitoring and quorum-ba

    Ccachedatabasekey-value
    View on GitHub↗10,759