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  5. Dapr vs Pact

Dapr vs Pact

OverviewComparisonAlternatives

Overview

Pact
Pact
Stacks59
Followers79
Votes0
GitHub Stars221
Forks90
Dapr
Dapr
Stacks96
Followers336
Votes9
GitHub Stars25.2K
Forks2.0K

Dapr vs Pact: What are the differences?

Key Differences between Dapr and Pact

Dapr and Pact are both tools that can be used for building and deploying applications, but they have some key differences.

  1. Integration vs. Testing: Dapr is an integration runtime that enables microservices to communicate with each other, while Pact is a contract testing framework that ensures compatibility between services. Dapr focuses on simplifying the integration of microservices, handling service-to-service communication, while Pact helps validate and test the interactions between services during development and deployment.

  2. Language Independence: Dapr is language-agnostic, providing SDKs and APIs for various programming languages, allowing developers to use their preferred language to build microservices. On the other hand, Pact is more focused on the consumer-driven contracts approach, providing support for a smaller set of languages such as Java, Ruby, and JavaScript, but with extensive tooling for contract testing.

  3. Runtime vs. Development: Dapr serves as a runtime infrastructure for running applications, providing components for scaling, service discovery, state management, etc. It abstracts away the underlying infrastructure and offers a consistent programming model. Pact, on the other hand, is designed to facilitate contract testing during the development and verification phase, ensuring the compatibility of services before deploying them into production.

  4. Service Mesh vs. Contract Testing: Dapr provides capabilities for service mesh with features like sidecar injection, observability, and traffic management. It focuses on managing the communication between services within a distributed application. Pact, on the other hand, concentrates on contract testing by defining and verifying the interactions and expectations between services, promoting the principle of consumer-driven contracts.

  5. Deployment vs. Verification: Dapr's primary focus is on simplifying the deployment and management of microservices. It abstracts away the complexities of distributed systems and provides a consistent runtime environment, making it easier to deploy and scale applications. Pact, on the other hand, emphasizes verifying the compatibility between services by testing the contracts during development and deployment, ensuring that no breaking changes occur.

  6. Community Support: Dapr has gained significant traction in terms of community support, with active contributions and a growing ecosystem of components and extensions. Pact also has a strong community, particularly in the realm of contract testing and consumer-driven contracts, with libraries and tooling available in different programming languages.

In Summary, Dapr focuses on simplifying the integration and deployment of microservices, providing a language-agnostic runtime environment, while Pact aims at ensuring compatibility between services through contract testing, with a more specific focus on consumer-driven contracts. Both tools have robust communities backing their respective approaches.

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Detailed Comparison

Pact
Pact
Dapr
Dapr

It is a code-first tool for testing HTTP and message integrations using contract tests. Contract tests assert that inter-application messages conform to a shared understanding that is documented in a contract. Without contract testing, the only way to ensure that applications will work correctly together is by using expensive and brittle integration tests.

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.

Support for JavaScript, JVM, .NET, Python, Go, Ruby, PHP, Swift and more; Get fast, reliable feedback on the compatibility of your integrations; Ensures all your services are compatible with each other before you deploy
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
221
GitHub Stars
25.2K
GitHub Forks
90
GitHub Forks
2.0K
Stacks
59
Stacks
96
Followers
79
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
JavaScript
JavaScript
Ruby
Ruby
Python
Python
.NET
.NET
Golang
Golang
PHP
PHP
Swift
Swift
.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 Pact, Dapr?

Postman

Postman

It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide.

Paw

Paw

Paw is a full-featured and beautifully designed Mac app that makes interaction with REST services delightful. Either you are an API maker or consumer, Paw helps you build HTTP requests, inspect the server's response and even generate client code.

Karate DSL

Karate DSL

Combines API test-automation, mocks and performance-testing into a single, unified framework. The BDD syntax popularized by Cucumber is language-neutral, and easy for even non-programmers. Besides powerful JSON & XML assertions, you can run tests in parallel for speed - which is critical for HTTP API testing.

Appwrite

Appwrite

Appwrite's open-source platform lets you add Auth, DBs, Functions and Storage to your product and build any application at any scale, own your data, and use your preferred coding languages and tools.

Runscope

Runscope

Keep tabs on all aspects of your API's performance with uptime monitoring, integration testing, logging and real-time monitoring.

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.

Insomnia REST Client

Insomnia REST Client

Insomnia is a powerful REST API Client with cookie management, environment variables, code generation, and authentication for Mac, Window, and Linux.

RAML

RAML

RESTful API Modeling Language (RAML) makes it easy to manage the whole API lifecycle from design to sharing. It's concise - you only write what you need to define - and reusable. It is machine readable API design that is actually human friendly.

Apigee

Apigee

API management, design, analytics, and security are at the heart of modern digital architecture. The Apigee intelligent API platform is a complete solution for moving business to the digital world.

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.

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