Apiary vs. CData Python Connectors vs. Microsoft Power Query vs. Stoplight Comparison Chart

Write an API in 30 minutes. Share it with your teammates or customers. Let them use the API mock to take your API for a spin--without writing any code. Iterate, rinse & repeat. Coding can wait until you know what your developers really need. DNA for your API, powerful, open sourced and developer-friendly. The ease of Markdown combined with the power of automated mock servers, tests, validations, proxies, and code samples in your language bindings. It's often hard to see how an API will be used until you have the chance to code against it. What wireframes are for UI design, a server mock is for API design. A quick way to prototype an API - even before you start writing code. Two clicks will link Apiary to a repository of your choice. It’s up to you whether you make the API Blueprint private or public and let the community contribute. We update API docs every time you commit, and we push commits to the repo whenever you update your documentation at Apiary. It's a virtuous cycle.

Power Query is the easiest way to connect, extract, transform and load data from a wide range of sources. Power Query is a data transformation and data preparation engine. Power Query comes with a graphical interface for getting data from sources and a Power Query Editor for applying transformations. Because the engine is available in many products and services, the destination where the data will be stored depends on where Power Query was used. Using Power Query, you can perform the extract, transform, and load (ETL) processing of data. Microsoft’s Data Connectivity and Data Preparation technology that lets you seamlessly access data stored in hundreds of sources and reshape it to fit your needs—all with an easy to use, engaging, no-code experience. Power Query supports hundreds of data sources with built-in connectors, generic interfaces (such as REST APIs, ODBC, OLE, DB and OData) and the Power Query SDK to build your own connectors.