Open-source alternatives to Go Cache

This is a thread-safe in-memory cache library for Go that automatically evicts the least recently used items when capacity is reached. It provides a fixed-size memory cache designed to maintain a constant memory footprint by removing the oldest entries as new data arrives. The system includes an eviction manager that executes custom callbacks when entries are purged to facilitate resource cleanup. It also supports time-based expiration, allowing for the automatic removal of items after a specified time-to-live duration. The library covers general caching capabilities including cache inspecti

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

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 library manages the lifecycle of stored information through automated expiration policies, which use internal timers to remove stale entries once a defined time-to-live duration has elapsed. It provides granular control over stored resources, allowing for the manual inspection, deletion, or clearing of specific keys to manage memory usage e

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

RocksDB is a high-performance, embeddable persistent key-value library and storage engine based on Log-Structured Merge-trees. It is designed to provide durable storage for large-scale datasets, integrating directly into applications to manage data on flash and RAM-based hardware. The engine is distinguished by its focus on minimizing read and write amplification through multi-threaded compaction and custom memory allocators. It features specialized optimizations for flash storage, including support for zoned block devices, and provides the ability to extend store behavior via external plugin

LevelDB is an embedded database library and persistent storage engine that provides a sorted key-value store. It uses a log-structured merge-tree architecture to map byte arrays to values, running directly within a process to provide storage without the need for a separate server process. The system is distinguished by its use of custom comparison functions to define key ordering, enabling efficient range scans and sequenced lookups. It ensures data reliability through atomic batch execution, consistent snapshot generation, and log-based recovery after failures. The engine covers broad capab

InfluxDB is a high-performance time-series database designed for collecting, storing, and querying time-stamped metrics and event data. It functions as a columnar time-series store and a real-time analytics engine, providing a network-accessible interface for retrieving and analyzing temporal records. The system utilizes a specialized columnar storage format to support high ingestion rates and efficient data retrieval. It incorporates a programmable runtime for executing custom plugins and triggers, including integration for processing and transforming incoming data streams. The platform cov

freecache is a high-performance, concurrent in-memory key-value store library for Go applications. It functions as a fixed-size cache that manages large volumes of data while eliminating garbage collection overhead through the use of preallocated memory and off-heap storage. The system maintains a predictable memory footprint by utilizing fixed memory allocation and circular buffer management, where new entries automatically overwrite the oldest data upon reaching capacity. It further reduces contention between simultaneous readers and writers through lock-striped concurrent access. The libr

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

This project is an educational resource designed to help developers master concurrent execution and synchronization patterns in Go. It provides a structured collection of hands-on coding exercises and test-driven challenges that focus on the practical implementation of multi-threaded software engineering practices. The repository emphasizes the core mechanisms of Go concurrency, including channel-based communication, mutex locking, and lifecycle coordination. It covers essential patterns such as managing background tasks, implementing graceful service shutdowns, and enforcing rate limits or e

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

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

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

Sled is an embedded key-value store and ACID-compliant database designed for high-performance data persistence. It functions as a log-structured storage engine that organizes data using B+ trees to support efficient range queries and prefix scans. The engine implements a zero-copy data store model, utilizing epoch-based reclamation to provide direct references to cached values without memory allocations. It distinguishes itself through a combination of write-ahead logging, page cache optimizations to reduce write amplification on flash storage, and serializable transactions for atomic multi-k

RavenDB is a multi-model NoSQL document database designed for high-performance, ACID-compliant data storage. It persists structured information as schema-flexible JSON documents and utilizes a unit-of-work session pattern to track entity changes and batch modifications into atomic transactions. The platform is built on a distributed architecture that supports horizontal scaling through sharding and ensures high availability via multi-node, master-to-master cluster replication. The database distinguishes itself through a self-optimizing query engine that automatically creates and maintains ind

Badger is an embeddable key-value store written in Go that provides persistent data storage for byte keys and values. It is a persistent database that utilizes a tiered LSM tree storage model to optimize disk storage and retrieval efficiency. The system features an ACID transaction engine that ensures data integrity through serializable snapshot isolation and multi-version concurrency control. It also provides an encrypted key-value store with data-at-rest encryption and a managed encrypted key registry to secure stored information. The engine covers a broad set of capabilities including hig

This project is a reactive, offline-first NoSQL database engine designed for JavaScript applications. It provides a robust framework for managing application state by synchronizing data across browsers, mobile devices, and server-side runtimes. By treating local storage as the primary source of truth, it enables applications to remain functional without network connectivity, automatically reconciling changes with remote backends once a connection is restored. The database distinguishes itself through a modular architecture that supports cross-environment synchronization and high-performance d

SpringSide 4 is an enterprise Java reference architecture and utility library built on the Spring Framework. It provides a pragmatic, best-practice application stack for building RESTful web services, web applications, and data access layers, along with a curated collection of high-performance utility classes for common operations like text, date, collection, reflection, concurrency, and I/O handling. The project distinguishes itself by combining a complete reference application scaffold with production-oriented infrastructure. It includes a JPA-based data access layer that automatically tran

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

SurrealDB is a multi-model database engine designed to store and query document, graph, relational, and vector data within a single ACID-compliant platform. It functions as an AI-native data store, integrating vector search, graph traversal, and machine learning model execution directly into its query layer. By providing a unified declarative query language, the platform eliminates the need for external middleware to synchronize data across different storage models. The platform distinguishes itself through its ability to manage agent memory and complex workflows natively. It allows developer

Hyperf is a high-performance PHP coroutine framework designed for building microservices and middleware. It utilizes non-blocking coroutines to handle high concurrency and low-latency request processing, providing a foundation for scalable distributed systems. The framework is distinguished by an aspect-oriented programming based dependency injector that enables pluggable components and meta-programming. It includes a coroutine-optimized object-relational mapper with integrated model caching and an orchestration toolkit for microservice governance, featuring service discovery, circuit breaker

A disk-backed key-value store.

Groupcache is a distributed caching library designed to coordinate data retrieval and storage across a cluster of nodes. It functions as a peer-to-peer data store that uses consistent hashing to assign specific keys to canonical owners, ensuring that cached items remain predictable and accessible throughout the network. The system distinguishes itself through a request coalescing engine that merges concurrent requests for the same missing key into a single upstream fetch. This mechanism prevents redundant backend load by ensuring that only one process retrieves the required data while sharing

Ledisdb is a high-performance NoSQL database server written in Go. It functions as a key-value store that supports complex data structures and utilizes persistent disk storage to manage data volumes that exceed system memory capacity. The system is designed as both a standalone server and an embeddable engine library that integrates directly into Go binaries. It features a scriptable data store that executes server-side Lua scripts for atomic operations and provides an HTTP API for data exchange using JSON, BSON, and msgpack serialization. The database includes capabilities for distributed d

goleveldb is an embedded key-value storage database for Go. It provides local data persistence and indexing, allowing applications to store and retrieve information using unique keys without requiring a separate server. The database organizes data using a log-structured merge-tree and persistent indexing in lexicographical order. This structure supports efficient range scans and prefix-based searches. The system includes capabilities for atomic batch writes to ensure data consistency and avoid partial updates. Performance is managed through write-ahead logging, memory-based buffering, and bl

A rudimentary implementation of a basic document (NoSQL) database in Go

This project is a high-performance PHP framework designed for building scalable services using a resident memory execution model. By maintaining application state in memory across requests, it eliminates bootstrap overhead and provides a persistent environment for long-running processes. The framework distinguishes itself through its integrated support for durable workflow orchestration and asynchronous task management. It enables the execution of complex, long-running business processes that automatically handle failures and state recovery, alongside a background processing system that dispa