Why Developers Choose NATS
Speed
NATS is written in Go and optimized for low latency. Benchmarks show it can process millions of messages per second on modest hardware.
Simplicity
Running a server is as easy as:
nats-server
That’s it. NCloud-Native
NATS integrates well with Kubernetes, Docker, and service meshes. The NATS team even provides a NATS Operator for Kubernetes to manage clusters easily.o complex setup, no heavy dependencies.
Secure by Design
Supports TLS encryption, user authentication, and fine-grained permissions with accounts and JWTs.
Simple “Hello NATS” Example
If you install the NATS CLI, you can try this demo.
- Run the server
nats-server
- Open a subscriber
nats sub greetings
- Publish a message
nats pub greetings "Hello from NATS!"
Result:
[#1] Received on "greetings" Hello from NATS!
That’s it — your first distributed message!
Real-World Use Cases

NATS is used in many industries because it’s lightweight and reliable. Some examples:
- IoT Systems: small devices sending temperature or GPS data to the cloud.
- Financial Services: trading platforms where every millisecond matters.
- Healthcare: systems exchanging patient data securely.
- Microservices: services talk through NATS instead of direct HTTP calls.
- Edge Computing: running lightweight servers close to users/devices.
NATS vs Other Messaging Systems
- Kafka: Excellent for big data pipelines, strong durability, but heavier and more complex.
- RabbitMQ: Feature-rich enterprise broker, but less cloud-native and slower in extreme cases.
- MQTT: Lightweight, focused on IoT, but narrower use cases.
- NATS: Small, simple, extremely fast, and flexible across many domains.
If you need stream processing for huge logs, Kafka may be better. If you need fast, simple communication between services, NATS shines.
Strengths and Limitations
Strengths
- Very fast and lightweight.
- Easy to install and operate.
- Flexible communication patterns.
- Strong support for modern cloud environments.
Limitations
- Core NATS doesn’t store messages (unless JetStream is enabled).
- Not as feature-rich as RabbitMQ (e.g., advanced routing, priorities).
- Less suitable for very heavy analytics pipelines compared to Kafka.
Comparison: NATS vs Other Messaging Systems
Feature / System | NATS | Kafka | RabbitMQ | MQTT |
---|---|---|---|---|
Primary Model | Pub/Sub, Request/Reply, Queue Groups, JetStream, KV | Distributed Log (event streaming) | Message Broker with queues & exchanges | Lightweight Pub/Sub protocol |
Persistence | Optional via JetStream (durable, replayable) | Built-in (append-only log, very durable) | Yes, messages stored until consumed/expired | Limited (QoS 0/1/2, but not full history) |
Performance | Ultra-low latency, millions msgs/sec | High throughput, suited for large data streams | Good throughput, but higher latency | Designed for lightweight devices |
Complexity | Simple to install (single binary, minimal config) | Complex (requires cluster, ZooKeeper/KRaft) | Moderate (needs config of exchanges/queues) | Very simple (but fewer features) |
Scalability | Easy horizontal scaling, cloud-native (Kubernetes operator) | Very high (handles petabytes) | Scales but less cloud-native | Scales for IoT, but not big data |
Best Use Cases | Microservices, IoT, cloud-native apps, edge computing | Data pipelines, analytics, event sourcing at massive scale | Enterprise apps, legacy integrations | IoT sensors, mobile devices |
Message Ordering | Per subject (not guaranteed globally) | Strong ordering per partition | Supports ordering in queues | No strict ordering |
Ecosystem | Modern, growing (JetStream, KV, NATS operator) | Mature, huge ecosystem | Mature, many client libs | Mature in IoT community |
Learning Curve | Easy (few commands, minimal setup) | Steep (clusters, partitions, replication configs) | Medium (exchange/queue concepts) | Easy (simple pub/sub API) |
Conclusion
NATS is a lightweight, fast, and reliable messaging system. It allows developers to build event-driven, decoupled systems without a steep learning curve.
Think of NATS as a post office for your services:
- Easy to set up.
- Fast to deliver.
- Flexible for different scenarios.
In this first article, we looked at the basics: what NATS is, how it works, and why it matters.
In the next part of this series, we will explore how to install NATS and build a simple publisher and subscriber in code. That’s where you’ll really see its power in action.