Redis Stack is an enhanced version of Redis, designed to provide additional features and modules to meet modern application needs. It extends the core Redis functionalities, such as caching, key-value storage, and message brokering, by including built-in modules and capabilities for real-time analytics, search, and more.

Key Features of Redis Stack:

• Search and Query with RediSearch: Offers full-text search capabilities. Supports secondary indexing, complex querying, and querying JSON documents. Makes Redis suitable for use cases that require fast and powerful search.

• JSON Support with RedisJSON: Allows efficient storage and manipulation of JSON data structures. Enables document-oriented use cases, such as storing and querying complex data objects. Directly integrates with RediSearch for advanced querying.

• Time-Series Data with RedisTimeSeries: Specialized module for time-series data. Optimized for storing and analyzing time-stamped data (e.g., metrics, IoT data, financial data). Provides built-in aggregation, down-sampling, and querying functionalities.

• Graph Queries with RedisGraph: Supports graph database queries using Cypher query language. Ideal for relationship-heavy data use cases, such as social networks, recommendation engines, and fraud detection.

• Streams and Pub/Sub: Native support for data streams and publish-subscribe mechanisms. Helps in building real-time applications like chat systems, notifications, and event processing.

• AI/ML Integration with RedisAI: Enables running AI/ML inference directly in Redis using models trained in popular frameworks like TensorFlow, PyTorch, and ONNX. Reduces latency by bringing AI processing closer to the data.