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MQTT vs NSQ: What are the differences?
- Message Delivery: MQTT follows a publish-subscribe model where messages are pushed to clients, ensuring that all clients receive the messages. On the other hand, NSQ uses a distributed message queue system where messages are pulled by consumers, allowing for more control over message consumption.
- Scalability: MQTT is known for its lightweight protocol, making it suitable for low-power devices and IoT applications. In contrast, NSQ is designed for horizontal scalability, allowing it to handle large volumes of messages across multiple nodes efficiently.
- Persistence: MQTT has limited support for message persistence, relying on QoS levels to ensure message delivery. NSQ, in contrast, provides built-in support for message persistence, allowing messages to be stored until they are consumed.
- Error Handling: MQTT provides more comprehensive error handling mechanisms, such as acknowledgment messages and quality of service levels, to ensure message delivery and reliability. NSQ, while robust, may require manual intervention for error handling and monitoring.
- Community Support: MQTT has a larger and more established community, with a wide range of client libraries and tools available for integration and development. NSQ, while growing in popularity, may have a more limited selection of community-contributed resources.
- Development Focus: MQTT is primarily focused on lightweight communication for IoT and M2M applications, emphasizing low latency and minimal overhead. NSQ, on the other hand, is designed for high-performance message processing and distributed systems, prioritizing scalability and fault tolerance.
In Summary, MQTT and NSQ differ in message delivery mechanisms, scalability, persistence, error handling, community support, and development focus.
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 MQTT
- Varying levels of Quality of Service to fit a range of3
- Lightweight with a relatively small data footprint2
- Very easy to configure and use with open source tools2
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 MQTT
- Easy to configure in an unsecure manner1
Cons of NSQ
- Long term persistence1
- Get NSQ behavior out of Kafka but not inverse1
- HA1