redis/redis Alternatives

Choose when you need higher multi-threaded throughput while keeping the Redis protocol.

A modern replacement for Redis and Memcached

Choose when you want a Redis-compatible cache store with Microsoft's high-performance and cluster features.

Garnet is a remote cache-store from Microsoft Research that offers strong performance (throughput and latency), scalability, storage, recovery, cluster sharding, key migration, and replication features. Garnet can work with existing Redis clients.

Choose when full-text search with typo tolerance is the core requirement, not a general-purpose cache.

A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.

Choose when you need a dedicated vector database with advanced filtering and scaling beyond Redis's vector features.

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

Choose when you want vector search inside Postgres, avoiding a separate in-memory server.

Open-source vector similarity search for Postgres

Choose when you need a vector database with object storage and hybrid search, not Redis's multi-model store.

Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​.

Choose when you want an in-process vector index with minimal overhead and no network service.

A lightweight, lightning-fast, in-process vector database

Choose when you need an embedded retrieval library for multimodal data, not a standalone server.

Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.

Choose when you need search in browser/edge environments with a tiny footprint.

🌌 A complete search engine and RAG pipeline in your browser, server or edge network with support for full-text, vector, and hybrid search in less than 2kb.

Choose when you want full-text and vector search as Postgres extensions, uniting your database and search.

One Postgres for your application data, full-text search, vector retrieval, and aggregations. Home of the pg_search extension.

Choose when you need a large-scale AI search platform with real-time indexing and advanced ranking.

The AI search platform

Choose when you need a graph-vector database on object storage for OLTP workloads.

HelixDB is an OLTP graph-vector database built in Rust on Object Storage.

Choose when you need dense, sparse, and tensor vector search optimized for LLM applications.

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.

Choose when you want DiskANN-based vector search in Postgres for billions of vectors.

Postgres extension for vector search (DiskANN), complements pgvector for performance and scale. Postgres OSS licensed.

Choose when you need a single engine for vector, text, and structured data for agents.

The AI-Native Search Database. Best for agent storage, it unifies vector, text, structured, and semi-structured data into a single engine. This all-in-one database makes agents smarter, easier to run, and more stable.

Choose when you want an embedded/distributed Go cache without Redis protocol compatibility.

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

Choose when you need a Java-based in-memory data grid with stream processing alongside caching.

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.

Choose when you need a robust, high-throughput message queue instead of Redis's pub/sub and streams.

A modern high-performance open source message queuing system

Choose when you need a simple in-process cache in JavaScript, without running a server.

⚡️ Advanced in-memory caching for JavaScript

Choose when you want an older, less active in-memory cache server, accepting limited support.

cachegrand - a modern data ingestion, processing and serving platform built for today's hardware

Choose when you need a lightweight, unmaintained Redis-protocol server for simple embedded use.

In-memory NoSQL database with ACID transactions, Raft consensus, and Redis API