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  5. Apiary vs Google Cloud Endpoints

Apiary vs Google Cloud Endpoints

OverviewDecisionsComparisonAlternatives

Overview

Apiary
Apiary
Stacks241
Followers325
Votes109
Google Cloud Endpoints
Google Cloud Endpoints
Stacks36
Followers149
Votes1

Apiary vs Google Cloud Endpoints: What are the differences?

Introduction

When comparing Apiary and Google Cloud Endpoints, it's important to understand their key differences to make an informed decision for integrating APIs into your web applications.

  1. API Design Tools: Apiary provides a comprehensive platform for designing APIs, documenting them, and testing their functionality all in one place. On the other hand, Google Cloud Endpoints is more focused on providing tools for deploying, protecting, and monitoring APIs developed using Google Cloud services.

  2. Integration with Services: Apiary allows for easy integration with various third-party services and tools for workflow automation, documentation generation, and code generation. In contrast, Google Cloud Endpoints seamlessly integrates with other Google Cloud services like App Engine, Kubernetes Engine, and Cloud Functions, making it more suitable for projects already using Google Cloud infrastructure.

  3. Authentication and Security: Apiary offers basic authentication options but lacks advanced security features like OAuth integration out of the box. Google Cloud Endpoints, on the other hand, provides built-in support for OAuth 2.0, API key management, and service account authentication, making it a more secure option for enterprise applications requiring stringent authentication and authorization mechanisms.

  4. Scalability and Performance: Google Cloud Endpoints are optimized for scalability and performance on Google's infrastructure, ensuring high availability and low latency for APIs hosted on Google Cloud Platform. Apiary, while capable of handling moderate traffic, may not offer the same level of scalability and performance as Google Cloud Endpoints, especially for global applications with high user demand.

  5. Pricing Model: Apiary offers a free tier with limited features and usage quotas, with paid plans available for teams and enterprises requiring additional capabilities. Google Cloud Endpoints pricing is based on usage, with free quotas included and pay-as-you-go pricing for additional usage, making it more cost-effective for businesses with fluctuating API traffic and usage patterns.

  6. Community and Support: Apiary has a strong community of developers and resources for learning API best practices, troubleshooting issues, and sharing knowledge. Google Cloud Endpoints benefits from Google's extensive support network, documentation, and online forums, providing technical assistance and guidance for integrating APIs with Google Cloud services.

In Summary, Apiary and Google Cloud Endpoints differ in their focus on API design tools, integration capabilities, security features, scalability, pricing models, and community support, offering distinct advantages based on project requirements and preferences.

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Advice on Apiary, Google Cloud Endpoints

StackShare
StackShare

May 1, 2019

Needs advice

From a StackShare Community member: "I just started working for a start-up and we are in desperate need of better documentation for our API. Currently our API docs is in a README.md file. We are evaluating Postman and Swagger UI. Since there are many options and I was wondering what other StackSharers would recommend?"

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Comments

Detailed Comparison

Apiary
Apiary
Google Cloud Endpoints
Google Cloud Endpoints

It takes more than a simple HTML page to thrill your API users. The right tools take weeks of development. Weeks that apiary.io saves.

An NGINX-based proxy and distributed architecture give unparalleled performance and scalability. Using an Open API Specification or one of our API frameworks, Cloud Endpoints gives you the tools you need for every phase of API development and provides insight with Google Cloud Monitoring, Cloud Trace, Google Cloud Logging and Cloud Trace.

Documentation- Organized around resources, code samples with syntax highlight, easy to explore.;Inspector- Users can make API calls through apiary.io, we show them how they differ from documentation.;Community- Opensource your API documentation on GitHub. The right channel between developers on both side of the API.;Always Tested [closed alpha]- The documentation is always watching your real API and tells you whenever it gets out of sync.;Server Mock- The fastest way to static API prototype—just ‘document’ your future API and it’s up. 2 minutes to Hello World.;GitHub Integration- Store the API Blueprint in your repository, everything gets updated as soon as you commit a new version.;I/O Validation- Add a JSON Schema to the API Blueprint and the proxy will help your API users understand implementation of data structures better.;Customization [closed alpha]- The documentation and tools can be seamlessly placed on your website and gray-labeled so the friction is close to none.
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Statistics
Stacks
241
Stacks
36
Followers
325
Followers
149
Votes
109
Votes
1
Pros & Cons
Pros
  • 29
    Easy to use
  • 19
    Free to use
  • 12
    Traffic inspector
  • 11
    Free
  • 10
    Collaboration
Pros
  • 1
    Android Integration
Integrations
GitHub
GitHub
Google App Engine
Google App Engine
Google Compute Engine
Google Compute Engine
Google Kubernetes Engine
Google Kubernetes Engine

What are some alternatives to Apiary, Google Cloud Endpoints?

Postman

Postman

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

Swagger UI

Swagger UI

Swagger UI is a dependency-free collection of HTML, Javascript, and CSS assets that dynamically generate beautiful documentation and sandbox from a Swagger-compliant API

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.

ReadMe.io

ReadMe.io

It is an easy-to-use tool to help you build out documentation! Each documentation site that you publish is a project where there is space for documentation, interactive API reference guides, a changelog, and much more.

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.

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.

Docusaurus

Docusaurus

Docusaurus is a project for easily building, deploying, and maintaining open source project websites.

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