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Message Brokers Comparison 2026 — Kafka, RabbitMQ, NATS &...
Mahdi SHamlou | مهدی شاملو · 2026-05-28 · via DEV Community

Mahdi SHamlou | مهدی شاملو

Mahdi Shamlou here.

if you’ve read my OWASP Top 10 or SQL/NoSQL injection articles, you know I take reliability and security seriously. If you’ve seen my durable workflow engines post, you know I care about building systems that don’t fall apart under real-world conditions.

Today, we’re tackling a question that comes up in every serious backend discussion:

Which message broker should I use in 2026?

Mahdi Shamlou | مهدی شاملو

I’ve seen countless debates online:

  • “Kafka is always better.”
  • “RabbitMQ is outdated.”
  • “NATS is insanely fast.”
  • “Just use Redis.”

But most comparisons are either outdated, overly biased, or written without real engineering tradeoffs.

So I decided to make a fresh, practical comparison for software engineers in 2026.

Let’s dive in.


What Is a Message Broker?

A message broker helps different services talk to each other.

For example, instead of this:

payment_service.process_order(order)

you send a message:

broker.publish("order.created", order)

Then another service reads that message and does the work.

This helps us build systems that are:

  • More scalable
  • Easier to manage
  • More reliable
  • Better for background jobs

Message brokers are useful for:

  • Microservices
  • Notifications
  • Payment systems
  • Background tasks
  • Event-driven systems
  • Real-time systems

Today I want to compare these options:

  1. Kafka
  2. RabbitMQ
  3. NATS
  4. Redis Streams

1. Kafka

Kafka is one of the most popular message brokers.

Mahdi Shamlou

Big companies like LinkedIn, Uber, and Netflix use it for handling a huge amount of data.

Kafka is very powerful and works well for large systems.

How it works

Kafka stores messages inside something called topics.

Messages stay there for some time, even after consumers read them.

This means you can:

  • Read messages again
  • Replay events
  • Save system history
  • Process a lot of data

Pros

  • Very scalable
  • High performance
  • Good for large systems
  • Can replay old messages
  • Strong reliability

Cons

  • Harder to learn
  • More setup and infrastructure
  • Too much for small projects

Best for

  • Large systems
  • Analytics
  • Event-driven architecture
  • High traffic systems

2. RabbitMQ

RabbitMQ is one of the oldest and most trusted message brokers.

Many developers use it because it is easier than Kafka and works very well for business systems.

How it works

RabbitMQ sends messages into queues.

Consumers read the messages and confirm when the job is finished.

RabbitMQ supports:

  • Retry
  • Delayed messages
  • Priority queues
  • Different routing methods

Pros

  • Easy to understand
  • Reliable
  • Good retry support
  • Mature and stable
  • Easier than Kafka

Cons

  • Not the best for very high scale
  • Message replay is weaker than Kafka

Best for

  • Payment systems
  • Notifications
  • Background jobs
  • Business applications

3. NATS

NATS is lightweight, simple, and very fast.

Many cloud-native systems use NATS because it is easy to run and gives very good performance.

How it works

NATS uses a publish/subscribe model.

Services send messages, and other services receive them.

With JetStream, NATS also supports persistence and better durability.

Pros

  • Very fast
  • Lightweight
  • Easy setup
  • Good for cloud systems

Cons

  • Smaller ecosystem than Kafka
  • Fewer features compared to RabbitMQ and Kafka

Best for

  • Real-time systems
  • Internal service communication
  • Cloud applications
  • Fast microservices

4. Redis Streams

Many developers already use Redis.

But some people forget that Redis can also work as a message broker.

Redis Streams is simple and useful for many systems.

How it works

Redis stores messages in streams.

Consumers can read messages in groups and process them.

It supports:

  • Persistence
  • Retry
  • Consumer groups

Pros

  • Easy to start
  • Simple setup
  • Good if you already use Redis
  • No extra infrastructure

Cons

  • Not good for very large systems
  • Fewer advanced features

Best for

  • Small and medium projects
  • Background jobs
  • Existing Redis projects

Quick Comparison

Feature Kafka RabbitMQ NATS Redis Streams
Speed High Medium Very High High
Easy Setup No Medium Yes Yes
Scalability Very High Good High Medium
Reliability Strong Strong Good Good
Learning Curve Hard Medium Easy Easy

My Take: Which One Should You Use?

For most teams, I think this is a good choice:

Start with RabbitMQ or NATS

If you want reliability and good features:

RabbitMQ

If you want speed and simplicity:

NATS


Use Redis Streams if you already use Redis. Sometimes you do not need another service. Redis Streams can be enough for many projects.

Use Kafka when your system becomes bigger. Kafka is powerful. But many teams start using Kafka too early. If your project is small or medium size, Kafka may add extra complexity.

Use Kafka if you need:

  • Very high scale
  • Event replay
  • Analytics systems
  • Large distributed systems

Final Thoughts

There is no perfect message broker. Every tool has advantages and disadvantages. Choose based on your project needs.

My simple suggestion:

  • RabbitMQ → business systems
  • NATS → fast modern systems
  • Redis Streams → simple projects
  • Kafka → large systems

Want More?

If you enjoyed this deep dive check out my other articles:


Mahdi Shamlou

🔗 LinkedIn:
https://www.linkedin.com/in/mahdi-shamlou-3b52b8278
📱 Telegram:
https://telegram.me/mahdi0shamlou
📸 Instagram:
https://www.instagram.com/mahdi0shamlou/

Author: Mahdi Shamlou | مهدی شاملو