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  5. Dapr vs NServiceBus

Dapr vs NServiceBus

OverviewComparisonAlternatives

Overview

NServiceBus
NServiceBus
Stacks76
Followers132
Votes2
Dapr
Dapr
Stacks96
Followers336
Votes9
GitHub Stars25.2K
Forks2.0K

Dapr vs NServiceBus: What are the differences?

Introduction

In this article, we will explore the key differences between Dapr and NServiceBus. Both Dapr and NServiceBus are popular frameworks used in building distributed systems and facilitating communication between microservices. While they both serve similar purposes, there are several distinguishing factors that set them apart.

  1. Messaging and Communication Model: Dapr is built around the concept of an event-driven and message-centric architecture, where applications communicate with each other by publishing and subscribing to events. On the other hand, NServiceBus follows a messaging pattern based on message queues and provides features like publish/subscribe, request/reply, and message routing.

  2. Language and Platform Support: Dapr is a language-agnostic and platform-agnostic framework, which means it can be used with any programming language and can run on any platform that supports containers. NServiceBus, on the other hand, is primarily focused on .NET and provides extensive support for C# and other .NET languages.

  3. Deployment and Hosting: Dapr emphasizes the use of containers for deployment and can be hosted in any container orchestrator such as Kubernetes. It provides built-in integration with popular container platforms. NServiceBus, on the other hand, can be deployed as a standalone service or hosted in a Windows Service or IIS. It is not tightly coupled with containerization but can be used with containers if required.

  4. Service Composition and Orchestration: Dapr provides support for service composition and orchestration by allowing services to invoke other services through a declarative model using HTTP or gRPC communication. It enables building complex workflows and service choreography. NServiceBus, on the other hand, focuses more on message-based communication between services and provides advanced features like Sagas for managing long-running processes and service orchestration.

  5. Community and Ecosystem: Dapr is an open-source project backed by Microsoft and has gained significant community traction. It has an active community contributing to its growth and providing support. NServiceBus, on the other hand, also has a strong community and has been widely adopted by .NET developers for building distributed systems and implementing messaging patterns.

  6. Development Model: Dapr provides a lightweight programming model with minimal friction. It enables developers to focus more on business logic and less on infrastructure-related concerns. NServiceBus, on the other hand, provides a more opinionated and feature-rich development model. It includes features like message versioning, retries, timeouts, and error handling out of the box.

In summary, Dapr and NServiceBus have different messaging and communication models, language and platform support, deployment and hosting options, service composition and orchestration capabilities, community and ecosystem, as well as development models. The choice between them depends on the specific requirements of the project and the preferences of the development team.

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Detailed Comparison

NServiceBus
NServiceBus
Dapr
Dapr

Performance, scalability, pub/sub, reliable integration, workflow orchestration, and everything else you could possibly want in a service bus.

It is a portable, event-driven runtime that makes it easy for developers to build resilient, stateless and stateful microservices that run on the cloud and edge and embraces the diversity of languages and developer frameworks.

-
Event-driven Pub-Sub system with pluggable providers and at-least-once semantics; Input and Output bindings with pluggable providers; State management with pluggable data stores; Consistent service-to-service discovery and invocation; Opt-in stateful models: Strong/Eventual consistency, First-write/Last-write wins; Cross platform Virtual Actors; Rate limiting; Built-in distributed tracing using Open Telemetry; Runs natively on Kubernetes using a dedicated Operator and CRDs; Supports all programming languages via HTTP and gRPC; Multi-Cloud, open components (bindings, pub-sub, state) from Azure, AWS, GCP; Runs anywhere - as a process or containerized; Lightweight (58MB binary, 4MB physical memory); Runs as a sidecar - removes the need for special SDKs or libraries; Dedicated CLI - developer friendly experience with easy debugging; Clients for Java, Dotnet, Go, Javascript and Python
Statistics
GitHub Stars
-
GitHub Stars
25.2K
GitHub Forks
-
GitHub Forks
2.0K
Stacks
76
Stacks
96
Followers
132
Followers
336
Votes
2
Votes
9
Pros & Cons
Pros
  • 1
    Brings on-prem issues to the cloud
  • 1
    Not as good as alternatives, good job security
Pros
  • 3
    Manage inter-service state
  • 2
    Zipkin app tracing "for free"
  • 2
    MTLS "for free"
  • 2
    App dashboard for rapid log overview
Cons
  • 1
    Additional overhead
Integrations
No integrations available
.NET Core
.NET Core
Java
Java
Python
Python
Microsoft Azure
Microsoft Azure
Kubernetes
Kubernetes
JavaScript
JavaScript
Google Cloud Platform
Google Cloud Platform
Golang
Golang

What are some alternatives to NServiceBus, Dapr?

Kafka

Kafka

Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.

RabbitMQ

RabbitMQ

RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.

Celery

Celery

Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.

Amazon SQS

Amazon SQS

Transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be always available. With SQS, you can offload the administrative burden of operating and scaling a highly available messaging cluster, while paying a low price for only what you use.

NSQ

NSQ

NSQ is a realtime distributed messaging platform designed to operate at scale, handling billions of messages per day. It promotes distributed and decentralized topologies without single points of failure, enabling fault tolerance and high availability coupled with a reliable message delivery guarantee. See features & guarantees.

ActiveMQ

ActiveMQ

Apache ActiveMQ is fast, supports many Cross Language Clients and Protocols, comes with easy to use Enterprise Integration Patterns and many advanced features while fully supporting JMS 1.1 and J2EE 1.4. Apache ActiveMQ is released under the Apache 2.0 License.

ZeroMQ

ZeroMQ

The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialised messaging middleware products. 0MQ sockets provide an abstraction of asynchronous message queues, multiple messaging patterns, message filtering (subscriptions), seamless access to multiple transport protocols and more.

Apache NiFi

Apache NiFi

An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.

Istio

Istio

Istio is an open platform for providing a uniform way to integrate microservices, manage traffic flow across microservices, enforce policies and aggregate telemetry data. Istio's control plane provides an abstraction layer over the underlying cluster management platform, such as Kubernetes, Mesos, etc.

Gearman

Gearman

Gearman allows you to do work in parallel, to load balance processing, and to call functions between languages. It can be used in a variety of applications, from high-availability web sites to the transport of database replication events.

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