TECHNOLOGY

Redis
Database

NoSQL DB In-Memory Store Key-Value Cache

Redis is an opensource data structure store, it is distributed under BSD license. Redis stands for Remote DIctionary Server. Redis is extremely fast Inmemory data store. It does not support SQL and that makes it much faster.

DATABASE ARCHITECTURE

Redis

Redis is an opensource data structure store, it is distributed under BSD license. Redis stands for Remote DIctionary Server. Redis is extremely fast Inmemory data store. It does not support SQL and that makes it much faster. Redis store the data in Key value pair. Accessing the data based on key. Data can be any binary data. Redis support different data structure like abstract data structures, such as strings, lists, maps, sets, sorted sets, hyperloglogs, bitmaps, streams and spatial indexes. Along with inmemory data structure, it also support storing the data on disk for persistency, with little compromise on speed. Almost all languages provide the interface towards redis for storing and accessing data.

ADVANTAGES

Why Redis?

Sub-Millisecond Speed & Cache Efficiency

Redis executes entirely in memory, delivering millions of read/write operations per second with sub-millisecond latency. This makes it the industry standard for high-performance caching, session stores, and real-time analytics.

Advanced Data Structures & Atomic Operations

Unlike basic caches, Redis supports complex data structures (Strings, Hashes, Lists, Sets, Sorted Sets, Bitmaps, and Streams). All operations are executed atomically on the server side, ensuring safety without locking overhead.

OPERATION SYSTEM

How It Works

Step 01

Client Request Routing

Clients connect over TCP. Redis accepts commands instantly via a non-blocking, single-threaded I/O multiplexer.

redis-cli
$ redis-cli -h 127.0.0.1 -p 6379
> SET session:123 "active"
OK
Step 02

In-Memory Processing

Operations execute directly in RAM without disk reads, yielding microsecond latency.

Step 03

Atomic State Mutation

Commands are processed sequentially, eliminating race conditions and complex multi-thread locking.

Step 04

Persistence Logs

State mutations are logged asynchronously to disk via periodic snapshotting (RDB) or append-only logs (AOF).

AOF Write: Active
Step 05

High Availability

Data is replicated asynchronously to replica nodes. Redis Sentinel monitors the system for automatic failover.

Step 06

Pub/Sub & Stream Broadcasting

Features built-in Publish/Subscribe and Stream channels to broadcast real-time events to active subscribers.

Publisher
Channel
Subscriber 1
Subscriber 2
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