For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.
Repository Index
67,262 visible repositories in the index
1–24 of 29 · Most stars
React Hooks for Data Fetching
- react
- hook
- data-fetching
- swr
A modern replacement for Redis and Memcached
A flexible distributed key-value database that is optimized for caching and other realtime workloads.
Redisson: Valkey & Redis Java Client and Real-Time Data Platform. Sync/Async/RxJava/Reactive API. Extends Valkey and Redis with over 60 objects and services: Set, Multimap, SortedSet, Map, List, Queue, Deque, Semaphore, Lock, AtomicLong, Map Reduce, Bloom filter, Spring, Tomcat, Scheduler, JCache API, Hibernate, RPC, local cache..
- java
- redis
- lock
- map
DataLoader is a generic utility to be used as part of your application's data fetching layer to provide a consistent API over various backends and reduce requests to those backends via batching and caching.
Efficient cache for gigabytes of data written in Go.
Alluxio, data orchestration for analytics and machine learning in the cloud
Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.
- java
- hazelcast
- in-memory
- big-data
Readyset is a MySQL and Postgres wire-compatible caching layer that sits in front of existing databases to speed up queries and horizontally scale read throughput. Under the hood, ReadySet caches the results of cached select statements and incrementally updates these results over time as the underlying data changes.
Apache Ignite
- distributed-sql-database
- iot
- osgi
- network-client
Distributed, in-memory key/value store and cache. It can be used as an embedded Go library and a language-independent service.
- key-value-store
- cache
- distributed-database
- key-value
A library for reading and writing data that lives in network, disk, and memory.
A high performance concurrent caching library for Rust
- cache
- concurrent-data-structure
An asynchronous, persistent key-value store for .NET desktop and mobile applications, backed by SQLite. Suited to both durable data such as user settings and cached data that expires, with optional encryption and System.Text.Json serialization.
- c-sharp
- cache
- reactive-extensions
- reactive-programming
A distributed in-memory data store for the cloud
GhostDB is a distributed, in-memory, general purpose key-value data store that delivers microsecond performance at any scale.
A Redis based, fully automated and scalable database cache layer for Laravel
TranslatedDistributed Transactional In-Memory Database (the world's first MongoDB that supports distributed transactions)
Embeddable and distributed in-memory alternative to Redis.
- cluster
- database
- distributed
- memory
The repository host gives no description.
- cache
- data-structures
- go
- golang
In-memory key-value server in Rust that speaks RESP, so redis-cli and Redis clients connect. Locks, rate limits, job queues and a change feed are single commands; Raft-based failover. Clients for Rust, .NET, Go, Java, Python and Node.js.
Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.
High-performance Swift framework for task execution, memory caching, and data management with intelligent execution merging, TTL caching, and retry logic