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NSQ vs gRPC: What are the differences?
Introduction
NSQ and gRPC are both popular technologies used in building distributed systems. However, there are some key differences between NSQ and gRPC that developers should be aware of. In this article, we will explore six key differences between NSQ and gRPC.
Messaging vs Remote Procedure Call: NSQ is primarily a messaging system, designed to handle the reliable delivery of messages between distributed components. It provides features like pub-sub messaging, message queues, and fault-tolerant message delivery. On the other hand, gRPC is a framework for building remote procedure call (RPC) systems. It enables communication between services by allowing them to invoke methods on remote services as if they were local.
Transport Protocol: NSQ uses its custom TCP-based protocol for communication between publishers and subscribers. It handles message delivery, routing, and load balancing. In contrast, gRPC uses HTTP/2 as its transport protocol. HTTP/2 provides features like multiplexed streams, flow control, and header compression, making gRPC efficient for high-performance communication.
Serialization: NSQ typically uses JSON or binary serialization for the messages it carries. It offers flexibility in terms of the payload format, but JSON serialization introduces higher overhead. On the other hand, gRPC uses Protocol Buffers as the default serialization mechanism. Protocol Buffers are a language-agnostic, efficient, and extensible serialization format that provides smaller message sizes and faster serialization/deserialization.
Service Definition: NSQ does not enforce a specific contract or service definition. It allows publishers and subscribers to define their own message formats and publish/subscribe to those topics. In comparison, gRPC uses Protocol Buffers to define a service interface and the payload of request/response messages. This strong typing and service contract enable better code generation, documentation, and inter-service communication.
Language Support: NSQ has client libraries available in various programming languages like Go, Java, Python, and Ruby. It provides flexibility to choose the language of choice for building NSQ producers and consumers. On the other hand, gRPC offers broader language support with client libraries available in many languages, including Go, Java, Python, Ruby, C++, C#, and more. This wide language support makes gRPC suitable for polyglot microservices architectures.
Error Handling: NSQ has a built-in retry mechanism for failed messages, allowing publishers to control the retry behavior. It also has built-in support for message timeouts and requeuing. In contrast, gRPC relies on the underlying HTTP/2 protocol's status codes and headers for error handling. It provides facilities like status codes, trailers, and metadata for handling errors in a more standardized manner.
In Summary, NSQ is a messaging system primarily used for reliable message delivery, while gRPC is a framework for building RPC systems. NSQ uses a custom TCP-based protocol, supports flexible message formats, and offers language libraries in various programming languages. On the other hand, gRPC uses HTTP/2 as its transport protocol, leverages Protocol Buffers for efficient serialization, enforces strong service contracts, provides broader language support, and relies on HTTP/2 error handling mechanisms.
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 gRPC
- Higth performance24
- The future of API15
- Easy setup13
- Contract-based5
- Polyglot4
- Garbage2
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 gRPC
Cons of NSQ
- Long term persistence1
- Get NSQ behavior out of Kafka but not inverse1
- HA1