Google Cloud Endpoints vs RAML | What are the differences? | StackShare

Google Cloud Endpoints vs RAML

Overview

Google Cloud Endpoints

Stacks36

Followers149

Votes1

RAML

Stacks147

Followers156

Votes39

Google Cloud Endpoints vs RAML: What are the differences?

What is Google Cloud Endpoints? Develop, deploy and manage APIs on any Google Cloud backend. 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.

What is RAML? RESTful API Modeling Language (RAML) makes it easy to manage the whole API lifecycle from design to sharing. 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.

Google Cloud Endpoints and RAML can be primarily classified as "API" tools.

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Detailed Comparison

Google Cloud Endpoints	RAML
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.	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.
-	Create and pull in namespaced, reusable libraries, containing data types; Annotations let you add vendor specific functionality without compromising your spec; Traits and resource Types let you take advantage of code reuse and design patterns; Easily define resources and methods then add as much detail as you want
Statistics
Stacks 36	Stacks 147
Followers 149	Followers 156
Votes 1	Votes 39
Pros & Cons
Pros 1 Android Integration	Pros 15 API Specification 7 Human Readable 6 API Documentation 3 Design Patterns & Code Reuse 2 Automatic Generation of Mule flow
Integrations
Google App Engine Google Compute Engine Google Kubernetes Engine	No integrations available

What are some alternatives to Google Cloud Endpoints, RAML?

Postman

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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

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'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

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

Insomnia REST Client

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

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.

Hoppscotch

It is a free, fast and beautiful API request builder. It helps you create requests faster, saving precious time on development

Falcor

Falcor lets you represent all your remote data sources as a single domain model via a virtual JSON graph. You code the same way no matter where the data is, whether in memory on the client or over the network on the server.