Google Cloud Dataflow vs Swagger UI

Overview

Swagger UI

Stacks2.1K

Followers1.8K

Votes207

GitHub Stars28.3K

Forks9.2K

Google Cloud Dataflow

Stacks220

Followers497

Votes19

Google Cloud Dataflow vs Swagger UI: What are the differences?

Developers describe Google Cloud Dataflow as "A fully-managed cloud service and programming model for batch and streaming big data processing". Google Cloud Dataflow is a unified programming model and a managed service for developing and executing a wide range of data processing patterns including ETL, batch computation, and continuous computation. Cloud Dataflow frees you from operational tasks like resource management and performance optimization. On the other hand, Swagger UI is detailed as "dependency-free collection of HTML, Javascript, and CSS assets that dynamically generate beautiful documentation". 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.

Google Cloud Dataflow can be classified as a tool in the "Real-time Data Processing" category, while Swagger UI is grouped under "Documentation as a Service & Tools".

Rainist, Zalando, and Hootsuite are some of the popular companies that use Swagger UI, whereas Google Cloud Dataflow is used by Spotify, Resultados Digitais, and Kapten. Swagger UI has a broader approval, being mentioned in 205 company stacks & 107 developers stacks; compared to Google Cloud Dataflow, which is listed in 32 company stacks and 8 developer stacks.

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Advice on Swagger UI, Google Cloud Dataflow

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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Detailed Comparison

Swagger UI	Google Cloud Dataflow
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	Google Cloud Dataflow is a unified programming model and a managed service for developing and executing a wide range of data processing patterns including ETL, batch computation, and continuous computation. Cloud Dataflow frees you from operational tasks like resource management and performance optimization.
The UI works in any development environment, be it locally or in the web;Allow end developers to effortlessly interact and try out every single operation your API exposes for easy consumption;Quickly find and work with resources and endpoints with neatly categorized documentation;Cater to every possible scenario with Swagger UI working in all major browsers	Fully managed; Combines batch and streaming with a single API; High performance with automatic workload rebalancing Open source SDK;
Statistics
GitHub Stars 28.3K	GitHub Stars -
GitHub Forks 9.2K	GitHub Forks -
Stacks 2.1K	Stacks 220
Followers 1.8K	Followers 497
Votes 207	Votes 19
Pros & Cons
Pros 49 Open Source 34 Can execute api calls from the documentation 29 Free to use 19 Customizable 14 Easy to implement in .Net Cons 3 Need to learn YAML and RAML 2 Documentation doesn't look that good 1 Does not support hypermedia 1 Doesn't generate code snippets in different languages 1 You don’t actually get in-line error highlighting	Pros 7 Unified batch and stream processing 5 Autoscaling 4 Fully managed 3 Throughput Transparency
Integrations
Node.js Git Microsoft Edge Safari Firefox Google Chrome	No integrations available

What are some alternatives to Swagger UI, Google Cloud Dataflow?

Postman

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

Apiary

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.

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.

Docusaurus

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

Read the Docs

It hosts documentation, making it fully searchable and easy to find. You can import your docs using any major version control system, including Mercurial, Git, Subversion, and Bazaar.

Gelato.io

Gelato.io is a SaaS tool for creating API documentation and developer portals.

MireDot

Generate REST documentation directly from your Java source code. This ensures always up-to-date and accurate documentation with minimal effort.

Gitbook

It is a modern documentation platform where teams can document everything from products, to APIs and internal knowledge-bases. It is a place to think and track ideas for you & your team.

Amazon Kinesis

Amazon Kinesis can collect and process hundreds of gigabytes of data per second from hundreds of thousands of sources, allowing you to easily write applications that process information in real-time, from sources such as web site click-streams, marketing and financial information, manufacturing instrumentation and social media, and operational logs and metering data.

Slate

Slate helps you create beautiful API documentation. Think of it as an intelligent, responsive documentation template for your API.

Google Cloud Dataflow vs Swagger UI