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  5. Conductor vs Dapr

Conductor vs Dapr

OverviewComparisonAlternatives

Overview

Conductor
Conductor
Stacks66
Followers122
Votes0
GitHub Stars12.8K
Forks2.3K
Dapr
Dapr
Stacks96
Followers336
Votes9
GitHub Stars25.2K
Forks2.0K

Conductor vs Dapr: What are the differences?

Conductor and Dapr are two popular frameworks used in building distributed applications. While both aim to simplify the development of distributed systems, they have some key differences that set them apart.
  1. Architecture: Conductor follows a monolithic architecture, where all components of the system are tightly coupled. On the other hand, Dapr promotes a microservices architecture, allowing for loosely coupled and independently deployable components.

  2. Programming Language Support: Conductor primarily supports Java-based applications, with limited support for other programming languages. In contrast, Dapr provides language-agnostic support, enabling developers to use their preferred language.

  3. Service Discovery: Conductor relies on a centralized service registry for service discovery, which can introduce a single point of failure. Dapr, on the other hand, includes built-in service discovery capabilities, allowing for decentralized service interactions.

  4. Orchestration vs. Sidecar: Conductor includes an orchestration engine that manages the workflow and coordination between services. In contrast, Dapr takes a sidecar approach, where each service has a Dapr runtime sidecar that handles service-to-service communication and other cross-cutting concerns.

  5. Integration with Existing Systems: Conductor provides integration with existing systems through custom adaptors and plugins. Dapr, on the other hand, offers a wide range of pre-built building blocks and components that can seamlessly integrate with existing systems, making it easier to adopt and extend functionality.

  6. Deployment Options: Conductor focuses on on-premises or private cloud deployments, making it suitable for organizations with strict data governance policies. Dapr, on the other hand, supports both on-premises and cloud deployments, providing flexibility and scalability options.

In Summary, Conductor follows a monolithic architecture with Java support, whereas Dapr promotes a microservices architecture with language-agnostic support, built-in service discovery, and a sidecar approach, making it easier to integrate with existing systems and offers more deployment options.

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Detailed Comparison

Conductor
Conductor
Dapr
Dapr

Conductor is an orchestration engine that runs 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.

Allow creating complex process / business flows in which individual task is implemented by a microservice.;A JSON DSL based blueprint defines the execution flow.;Provide visibility and traceability into the these process flows.;Expose control semantics around pause, resume, restart, etc allowing for better devops experience.;Allow greater reuse of existing microservices providing an easier path for onboarding.;User interface to visualize the process flows.;Ability to synchronously process all the tasks when needed.;Ability to scale millions of concurrently running process flows.;Backed by a queuing service abstracted from the clients.;Be able to operate on HTTP or other transports e.g. gRPC.
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
12.8K
GitHub Stars
25.2K
GitHub Forks
2.3K
GitHub Forks
2.0K
Stacks
66
Stacks
96
Followers
122
Followers
336
Votes
0
Votes
9
Pros & Cons
No community feedback yet
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 Conductor, 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.

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.

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

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