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  1. Stackups
  2. Application & Data
  3. Frameworks
  4. Concurrency Frameworks
  5. Dapr vs Orleans

Dapr vs Orleans

OverviewComparisonAlternatives

Overview

Orleans
Orleans
Stacks61
Followers126
Votes53
GitHub Stars10.6K
Forks2.1K
Dapr
Dapr
Stacks96
Followers336
Votes9
GitHub Stars25.2K
Forks2.0K

Dapr vs Orleans: What are the differences?

  1. Programming Model: Dapr is a runtime for building distributed applications using a microservices architecture, while Orleans is a virtual actor model framework. Dapr allows developers to write applications using any programming language and provides a set of building blocks for common features like service-to-service invocation, pub/sub messaging, and state management. Orleans, on the other hand, enables developers to build high-scale, fault-tolerant systems by allowing them to write business logic using virtual actors, which is a higher-level programming model compared to traditional actor models.
  2. Deployment Flexibility: Dapr provides a flexible deployment model where applications can be deployed in containers, such as Kubernetes, or as standalone processes. It can also seamlessly integrate with existing applications without the need for a complete rewrite. Orleans, on the other hand, is designed to run on clusters of machines and relies on its own hosting environment for deployment. It provides features like automatic load balancing and activation, making it suitable for highly scalable and distributed systems.
  3. State Management: Dapr provides a state management building block that allows developers to store and retrieve state in a consistent and reliable manner. It abstracts away the underlying storage provider and supports features like strong consistency and optimistic concurrency. Orleans, on the other hand, provides a built-in distributed actor virtual memory (DAVM) system that allows actors to store and retrieve state locally. It also provides support for distributed in-memory caching for performance optimization.
  4. Service-to-Service Invocation: Dapr provides a service-to-service invocation building block that allows applications to invoke other services using a simple API. It takes care of service discovery, retries, and circuit breaking, making it easier to build resilient and scalable applications. Orleans, on the other hand, uses a message passing mechanism for communication between actors, where messages are sent asynchronously and processed by the receiving actor.
  5. Pub/Sub Messaging: Dapr provides a publish/subscribe building block that allows applications to publish events and subscribe to them. It supports multiple pub/sub systems, such as Apache Kafka, RabbitMQ, and Azure Service Bus. Orleans, on the other hand, does not provide a built-in pub/sub messaging mechanism. However, it can integrate with external pub/sub systems by using the observer pattern to notify actors of events.
  6. Scaling and Sharding: Dapr provides built-in scaling and sharding capabilities, allowing applications to scale horizontally by adding more instances of a service, and to distribute data across multiple instances using consistent hashing. Orleans, on the other hand, provides automatic activation and deactivation of actors based on demand and allows developers to define custom activation strategies for fine-grained control over scaling and sharding.

In Summary, Dapr is a runtime for building distributed applications using a microservices architecture with a focus on providing a set of building blocks for common features, while Orleans is a virtual actor model framework that allows developers to write high-scale, fault-tolerant systems using a higher-level programming model based on virtual actors. Dapr provides more flexibility in terms of programming model and deployment options, whereas Orleans provides specialized features for state management, messaging, and scaling/sharding in the context of virtual actors.

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CLI (Node.js)
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Detailed Comparison

Orleans
Orleans
Dapr
Dapr

Orleans is a framework that provides a straightforward approach to building distributed high-scale computing applications, without the need to learn and apply complex concurrency or other scaling patterns. It was created by Microsoft Research and designed for use in the cloud.

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.

Cross-platform; Scalable distributed applications
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
10.6K
GitHub Stars
25.2K
GitHub Forks
2.1K
GitHub Forks
2.0K
Stacks
61
Stacks
96
Followers
126
Followers
336
Votes
53
Votes
9
Pros & Cons
Pros
  • 6
    Akka.net alternative
  • 6
    Async/Await
  • 5
    Open source
  • 5
    Virtual Actor Model
  • 5
    Scalable
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
.NET
.NET
.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 Orleans, Dapr?

Akka

Akka

Akka is a toolkit and runtime for building highly concurrent, distributed, and resilient message-driven applications on the JVM.

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.

Azure Service Fabric

Azure Service Fabric

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.

RxJS

RxJS

RxJS is a library for reactive programming using Observables, to make it easier to compose asynchronous or callback-based code. This project is a rewrite of Reactive-Extensions/RxJS with better performance, better modularity, better debuggable call stacks, while staying mostly backwards compatible, with some breaking changes that reduce the API surface.

Netty

Netty

Netty is a NIO client server framework which enables quick and easy development of network applications such as protocol servers and clients. It greatly simplifies and streamlines network programming such as TCP and UDP socket server.

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.

Finagle

Finagle

Finagle is an extensible RPC system for the JVM, used to construct high-concurrency servers. Finagle implements uniform client and server APIs for several protocols, and is designed for high performance and concurrency.

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.

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