Redis Stack

Overview

Redis Stack combines Redis with a set of modular extensions into a single product, providing rich data capabilities beyond basic caching. It brings full-text search, JSON storage, graph database features, time-series data, and probabilistic data structures into one high-performance in-memory database platform.

Core features and highlights

• RediSearch: full-text search, complex indexing, and vector search support
• RedisJSON: native JSON storage and path queries
• RedisGraph: graph modeling and relationship queries
• RedisTimeSeries: efficient time-series writes and aggregation analysis
• RedisBloom: Bloom filters and other probabilistic structures
• Single deployment, atomic operations, and low-latency responses

Use cases and target users

Suitable for real-time analytics, recommendations and personalization, caching and session management, IoT time-series data, and ML feature stores and similarity search. Target users include backend engineers, data engineers, ML engineers, SREs, and architects.

Key advantages or highlights

• High performance: memory-level low latency and high throughput
• Multi-model in one: supports multiple data models within the same instance, reducing system complexity
• Rich query capabilities: supports combined use of full-text, vector, graph, and time-series queries
• Ecosystem compatibility: preserves Redis's simple API and