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  5. Google Cloud Endpoints vs MockIt (open source)

Google Cloud Endpoints vs MockIt (open source)

OverviewComparisonAlternatives

Overview

Google Cloud Endpoints
Google Cloud Endpoints
Stacks36
Followers149
Votes1
MockIt (open source)
MockIt (open source)
Stacks0
Followers20
Votes0
GitHub Stars1.6K
Forks83

Google Cloud Endpoints vs MockIt (open source): What are the differences?

  1. Integration with Google Services: Google Cloud Endpoints provide built-in integration with various Google Cloud services, making it easier to develop and deploy applications on Google Cloud Platform. MockIt, being open-source, may not offer the same level of seamless integration with Google's services.

  2. Customizability and Extensibility: MockIt allows for extensive customization and extensibility, enabling developers to tailor the mocking behavior according to their specific requirements. Google Cloud Endpoints, on the other hand, may have limitations in terms of customization as it is a managed service provided by Google.

  3. Pricing Model: Google Cloud Endpoints typically follow a pay-as-you-go pricing model, where users are billed based on usage. MockIt, being open-source, does not have any direct cost associated with its usage, making it a more cost-effective option for certain projects.

  4. Community Support and Documentation: MockIt being an open-source project, often has a dedicated community providing support and documentation to help users troubleshoot any issues they encounter. While Google Cloud Endpoints also have documentation and support, the level of community engagement might vary.

  5. Deployment Flexibility: With MockIt being open-source, developers have the flexibility to deploy the mocking service in their own infrastructure or cloud environment. Google Cloud Endpoints are managed by Google, which may limit the deployment options based on the preferences of developers or organizations.

  6. Scalability and Performance: Google Cloud Endpoints are designed to scale efficiently and leverage Google's infrastructure for optimal performance. On the other hand, the scalability and performance of MockIt may depend on the resources allocated by the users themselves, potentially leading to varying levels of performance.

In Summary, Google Cloud Endpoints offer tight integration with Google services, while MockIt provides more customizability and cost-effectiveness, with differences in deployment options, community support, and scalability/performance.

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Detailed Comparison

Google Cloud Endpoints
Google Cloud Endpoints
MockIt (open source)
MockIt (open source)

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.

Stop wasting time mocking APIs. MockIt gives you an interface to configure and create REAL mocked end points for your applications.

-
Live reload on server; Quickly create, edit & delete HTTP end-points; CORS enabled; Auth; Quick setup
Statistics
GitHub Stars
-
GitHub Stars
1.6K
GitHub Forks
-
GitHub Forks
83
Stacks
36
Stacks
0
Followers
149
Followers
20
Votes
1
Votes
0
Pros & Cons
Pros
  • 1
    Android Integration
No community feedback yet
Integrations
Google App Engine
Google App Engine
Google Compute Engine
Google Compute Engine
Google Kubernetes Engine
Google Kubernetes Engine
Docker
Docker
Jest
Jest
React
React
Docusaurus
Docusaurus

What are some alternatives to Google Cloud Endpoints, MockIt (open source)?

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.

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.

Hoppscotch

Hoppscotch

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

Falcor

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.

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