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, 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 offer straightforward access to live Application, Database, and Cloud API data through standard Python database connectivity features:

Universal Python Data Connectivity Popular Tooling Integration Replication and Caching String, Date, Numeric SQL Functions Collaborative Query Processing Easily Customizable and Configurable Enterprise-class Secure Connectivity

Organizations worldwide are using Python to harvest insights from data. Existing Python tools, modules, and extensions support DataOps initiatives by dramatically simplifying data movement and 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/