CData Drivers vs. CData Python Connectors vs. Microsoft Power Query vs. Mocki Comparison Chart

CData Python Connectors simplify the way that Python users connect to SaaS, Big Data, NoSQL, and relational data sources. Our Python Connectors offer simple Python database interfaces (DB-API), making it easy to connect with popular tooling like Jupyter Notebook, SQLAlchemy, pandas, Dash, Apache Airflow, petl, and more. CData Python Connectors create a SQL wrapper around APIs and data protocols, simplifying data access from within Python and enabling Python users to easily connect more than 150 SaaS, Big Data, NoSQL, and relational data sources with advanced Python processing. The CData Python Connectors fill a critical gap in Python tooling by providing consistent connectivity with data-centric interfaces to hundreds of different SaaS/Cloud, NoSQL, and Big Data sources. Download a 30-day free trial or learn more at: https://www.cdata.com/python/

If you want to create a simple API for testing purposes, simply enter a response body and get your custom API URL. Use Mocki to create a fully-fledged mock API. Using Mocki you can create, run, and deploy mock APIs. Use your mocks to design your API, serve static responses, simulate error scenarios, and remove dependencies to external services. Sign up today for a free 7-day trial. Sync your service with your code repository to keep your mock service up to date with the latest changes without manual steps. Using our managed hosting solution your mock service is always available for any consumer. Access a dashboard to gather insights on how your mock service is used. Using our open source CLI you can run your services locally. This enables you to run your service without requiring an internet connection to reach external services. A mock API can also be useful when testing backend apps. A common case is that your API or service needs to call external services over HTTP.