Import data from another file into a new table in the current file. 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.ĭownload a 30-day free trial or learn more at: Existing Python tools, modules, and extensions support DataOps initiatives by dramatically simplifying data movement and processing.

Organizations worldwide are using Python to uncover insights from data.

String, Date, and Numeric SQL Functions.

The CData Python Connectors offer straightforward access to live application, database, and cloud API data through standard Python database connectivity features:

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.ĬData 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. With all that features ready for use, individuals and organizations around the globe use the FileMaker Platform to manage contacts, inventory, and projects.ĬData Python Connectors simplify the way that Python users connect to SaaS, Big Data, NoSQL, and relational data sources. The program supports a decent number of file types for data import including Excel, tab- and comma-separated text, ODBC, DBF (dBASE) and more.

It integrates a database engine with GUI interface enabling users to create and modify the database by dragging elements into layouts or forms. FileMaker is a very useful tool that lets its users create databases, available for both the PC and the Mac.

Filemaker and python