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NATS vs NSQ: What are the differences?
Introduction
NATS and NSQ are both messaging systems that facilitate communication between microservices in a distributed architecture. While they serve a similar purpose, there are key differences between NATS and NSQ that make them suitable for different use cases.
Architecture: NATS follows a simple and lightweight publish-subscribe messaging pattern, with support for point-to-point and request-reply messaging. It uses a central message broker and provides high throughput and low latency communication. On the other hand, NSQ adopts a distributed message queue model, where messages are pushed to a topic and consumed by multiple subscribers in a fault-tolerant manner. It offers built-in message persistence and at-least-once delivery semantics.
Clustering: NATS uses a hierarchical hub-and-spoke clustering model, where multiple NATS servers connect to a central hub. This allows for federated messaging across clusters, providing scalability and fault tolerance. In contrast, NSQ supports fully decentralized clustering, where nodes can connect to each other directly. This enables NSQ to achieve higher scalability and fault tolerance compared to NATS.
Message Routing: NATS does not support message routing based on content or source address. Instead, it relies on subjects to route messages to interested subscribers. NSQ, on the other hand, allows for explicit message routing based on topic names. This makes it easier to implement complex routing logic and enables selective consumption of messages.
Monitoring and Management: NATS provides a built-in monitoring and management console called NATS Streaming Server, which offers real-time visibility into message traffic and cluster status. It also supports authentication, authorization, and TLS encryption. NSQ, on the other hand, does not have a built-in monitoring and management console. However, it provides a web-based admin interface for monitoring topics, channels, and message rates.
Ease of Use: NATS is designed to be simple and easy to use, with minimal configuration and a small footprint. It supports multiple client libraries and has extensive language bindings. NSQ, on the other hand, requires more configuration and setup to run a cluster. It has fewer client libraries compared to NATS, but provides support for integration with popular programming languages.
Community and Ecosystem: NATS has a larger and more mature community, with a wide range of integrations and third-party tools available. It has been widely adopted by companies and is actively maintained by the CNCF (Cloud Native Computing Foundation). NSQ has a smaller community compared to NATS, but still has an active user base. It provides a plugin system for extending functionality and supports integration with various monitoring and logging tools.
In summary, NATS and NSQ differ in their architecture, clustering approach, message routing capabilities, monitoring and management features, ease of use, and community support. These differences should be considered when choosing a messaging system for a specific use case.
I am looking into IoT World Solution where we have MQTT Broker. This MQTT Broker Sits in one of the Data Center. We are doing a lot of Alert and Alarm related processing on that Data, Currently, we are looking into Solution which can do distributed persistence of log/alert primarily on remote Disk.
Our primary need is to use lightweight where operational complexity and maintenance costs can be significantly reduced. We want to do it on-premise so we are not considering cloud solutions.
We looked into the following alternatives:
Apache Kafka - Great choice but operation and maintenance wise very complex. Rabbit MQ - High availability is the issue, Apache Pulsar - Operational Complexity. NATS - Absence of persistence. Akka Streams - Big learning curve and operational streams.
So we are looking into a lightweight library that can do distributed persistence preferably with publisher and subscriber model. Preferable on JVM stack.
Kafka is best fit here. Below are the advantages with Kafka ACLs (Security), Schema (protobuf), Scale, Consumer driven and No single point of failure.
Operational complexity is manageable with open source monitoring tools.
Pros of NATS
- Fastest pub-sub system out there22
- Rock solid16
- Easy to grasp12
- Light-weight4
- Easy, Fast, Secure4
- Robust Security Model2
Pros of NSQ
- It's in golang29
- Distributed20
- Lightweight20
- Easy setup18
- High throughput17
- Publish-Subscribe11
- Scalable8
- Save data if no subscribers are found8
- Open source6
- Temporarily kept on disk5
- Simple-to use2
- Free1
- Topics and channels concept1
- Load balanced1
- Primarily in-memory1
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Cons of NATS
- Persistence with Jetstream supported2
- No Order1
- No Persistence1
Cons of NSQ
- Long term persistence1
- Get NSQ behavior out of Kafka but not inverse1
- HA1