Kong vs. Restlet Studio vs. seneca

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Heads up: you're comparing apples to oranges. Tools belonging to different groups are often not directly comparable because they usually have different intended purposes and benefits.

Kong

Restlet Studio

seneca

Favorites

89

Favorites

15

Favorites

11

Hacker News, Reddit, Stack Overflow Stats

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GitHub Stats

No public GitHub repository stats available

Description

What is Kong?

Kong was created to secure, manage and extend Microservices & APIs. Kong is powered by the battle-tested tech of NGINX and Cassandra with a focus on scalability, high performance & reliability. Kong runs in production at Mashape handling billions of requests to over ten thousand APIs.

What is Restlet Studio?

Packaged as a Chrome extension and accessible from any modern web browser, Restlet Studio instantly provides to any developer powerful API crafting capabilities. Through an intuitive interface, developers can visually define all the elements of a web API, and automatically generate the client SDK and server skeleton of their API.

What is seneca?

Seneca is a toolkit for organizing the business logic of your app. You can break down your app into "stuff that happens", rather than focusing on data models or managing dependencies.

Pros about this tool

Pros
Why do you like Kong?

Pros
Why do you like Restlet Studio?

Pros
Why do you like seneca?

Pricing

Companies

34 Companies Using Kong
3 Companies Using Restlet Studio
2 Companies Using seneca

Integrations

Kong Integrations
No integrations listed yet
seneca Integrations

What are some alternatives to Kong, Restlet Studio, and seneca?

  • Istio - Open platform to connect, manage, and secure microservices, by Google, IBM, and Lyft
  • linkerd - Twitter-Style Operability for Microservices
  • Micro - A microservice toolkit
  • Claudia - Deploy Node.js microservices to AWS Lambda and API Gateway easily

See all alternatives to Kong

Latest News

MesosCon Wrap Up
Kong Presents at MesosCon 2017
Kong CE 0.11.0 released
Restlet Studio Supports RAML 1.0 API Specification


Interest Over Time


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