in-memory

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.

A modern replacement for Redis and Memcached

Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences

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.

BuntDB is an embeddable, in-memory key/value database for Go with custom indexing and geospatial support

Get your data in RAM. Get compute close to data. Enjoy the performance.

Distributed, in-memory key/value store and cache. It can be used as an embedded Go library and a language-independent service.

An in-memory cache library for golang. It supports multiple eviction policies: LRU, LFU, ARC

Node.js "fs" and browser "File System API" adapters and in-memory implementations 👍

Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.

A rate-limiting library for Rust (f.k.a. ratelimit_meter)

Lightning Memory Database (LMDB) for Java: a low latency, transactional, sorted, embedded, key-value store

A C++ static library offering a clean and simple interface to the 7-zip shared libraries.

Embeddable, in-memory, document-oriented database with a high-level Query builder interface.

Simple Job Processing in Elixir with Mnesia :zap:

🔧 High-performance Python rate limiting library with multiple algorithms (Fixed Window, Sliding Window, Token Bucket, Leaky Bucket & GCRA) and storage backends (Redis, In-Memory).

Doorstop -- run C# before Unity does!