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  5. Azure Service Fabric vs Dapr

Azure Service Fabric vs Dapr

OverviewComparisonAlternatives

Overview

Azure Service Fabric
Azure Service Fabric
Stacks103
Followers284
Votes26
GitHub Stars3.0K
Forks399
Dapr
Dapr
Stacks96
Followers336
Votes9
GitHub Stars25.2K
Forks2.0K

Azure Service Fabric vs Dapr: What are the differences?

Introduction

Azure Service Fabric and Dapr are two popular platforms used for building and deploying scalable and reliable applications. While both offer similar functionalities, they have some key differences.

  1. Programming Model: Azure Service Fabric provides a more complex, low-level programming model that allows developers to build applications using stateful or stateless services. On the other hand, Dapr offers a simpler, high-level programming model that enables developers to build applications using microservices, regardless of the underlying infrastructure.

  2. Deployment Flexibility: Azure Service Fabric allows applications to be deployed to a variety of platforms, including Azure, on-premises, and even other cloud providers. Dapr, on the other hand, focuses on a cloud-agnostic approach and can run on any infrastructure, including Kubernetes, Azure, and other cloud providers.

  3. Service Discovery and Communication: Azure Service Fabric provides built-in service discovery capabilities and supports reliable inter-service communication within the cluster. Dapr, on the other hand, relies on external service discovery mechanisms and supports inter-service communication using sidecar proxies or standard protocols like gRPC or HTTP.

  4. State Management: Azure Service Fabric includes a reliable, distributed state management system that allows applications to store and retrieve state within the cluster. Dapr, on the other hand, does not provide a built-in state management system but can integrate with external state stores like Redis or Cosmos DB.

  5. Operational Management: Azure Service Fabric provides a comprehensive set of tools and APIs for monitoring, diagnosing, and managing applications and clusters, including automatic scaling and lifecycle management features. Dapr, on the other hand, focuses more on the application logic and delegates operational concerns to the underlying platform or infrastructure.

  6. Community and Ecosystem: Azure Service Fabric has been around for a longer time and has a larger community and ecosystem with a wide range of tools, libraries, and resources available. Dapr, being a relatively new platform, is still growing its community and ecosystem but benefits from the popularity of containers, Kubernetes, and microservices.

In summary, Azure Service Fabric provides a low-level, flexible programming model with built-in state management and comprehensive operational management features, suitable for complex and scalable applications. Dapr, on the other hand, offers a high-level, cloud-agnostic programming model with a focus on simplicity and interoperability, making it well-suited for building microservices-based applications on any infrastructure.

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Detailed Comparison

Azure Service Fabric
Azure Service Fabric
Dapr
Dapr

Azure Service Fabric is a distributed systems platform that makes it easy to package, deploy, and manage scalable and reliable microservices. Service Fabric addresses the significant challenges in developing and managing cloud apps.

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.

Simplify microservices development and application lifecycle management; Reliably scale and orchestrate containers and microservices; Data-aware platform for low-latency, high-throughput workloads with stateful containers or microservices; Run anything – your choice of languages and programming models; Run anywhere – supports Windows/Linux in Azure, on-premises, or other clouds; Scales up to thousands of machines
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
3.0K
GitHub Stars
25.2K
GitHub Forks
399
GitHub Forks
2.0K
Stacks
103
Stacks
96
Followers
284
Followers
336
Votes
26
Votes
9
Pros & Cons
Pros
  • 5
    Intelligent, fast, reliable
  • 4
    Runs most of Azure core services
  • 3
    Superior programming models
  • 3
    Open source
  • 3
    Reliability
Pros
  • 3
    Manage inter-service state
  • 2
    MTLS "for free"
  • 2
    Zipkin app tracing "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 Azure Service Fabric, Dapr?

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.

Moleculer

Moleculer

It is a fault tolerant framework. It has built-in load balancer, circuit breaker, retries, timeout and bulkhead features. It is open source and free of charge project.

Express Gateway

Express Gateway

A cloud-native microservices gateway completely configurable and extensible through JavaScript/Node.js built for ALL platforms and languages. Enterprise features are FREE thanks to the power of 3K+ ExpressJS battle hardened modules.

ArangoDB Foxx

ArangoDB Foxx

It is a JavaScript framework for writing data-centric HTTP microservices that run directly inside of ArangoDB.

Zuul

Zuul

It is the front door for all requests from devices and websites to the backend of the Netflix streaming application. As an edge service application, It is built to enable dynamic routing, monitoring, resiliency, and security. Routing is an integral part of a microservice architecture.

linkerd

linkerd

linkerd is an out-of-process network stack for microservices. It functions as a transparent RPC proxy, handling everything needed to make inter-service RPC safe and sane--including load-balancing, service discovery, instrumentation, and routing.

Jersey

Jersey

It is open source, production quality, framework for developing RESTful Web Services in Java that provides support for JAX-RS APIs and serves as a JAX-RS (JSR 311 & JSR 339) Reference Implementation. It provides it’s own API that extend the JAX-RS toolkit with additional features and utilities to further simplify RESTful service and client development.

Ocelot

Ocelot

It is aimed at people using .NET running a micro services / service oriented architecture that need a unified point of entry into their system. However it will work with anything that speaks HTTP and run on any platform that ASP.NET Core supports. It manipulates the HttpRequest object into a state specified by its configuration until it reaches a request builder middleware where it creates a HttpRequestMessage object which is used to make a request to a downstream service.

Micro

Micro

Micro is a framework for cloud native development. Micro addresses the key requirements for building cloud native services. It leverages the microservices architecture pattern and provides a set of services which act as the building blocks

Claudia

Claudia

Claudia helps you deploy Node.js microservices to Amazon Web Services easily. It automates and simplifies deployment workflows and error prone tasks, so you can focus on important problems and not have to worry about AWS service quirks.

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