CData Python Connectors

CData Python Connectors

CData Python Connectors provide access to data sources like SQL Server, MySQL, Salesforce, and more from Python applications. The connectors integrate natively with Python, eliminate mapping code, and simplify data access.
Development Database Connectors
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CData Python Connectors alternatives ➤

CData Python Connectors: Access Data Sources Native to Python

CData Python Connectors provide access to data sources like SQL Server, MySQL, Salesforce, and more from Python applications. The connectors integrate natively with Python, eliminate mapping code, and simplify data access.

What is CData Python Connectors?

CData Python Connectors enable Python developers to easily connect to databases, cloud apps, and on-prem data using standard Python DB API interfaces. The connectors integrate natively with Python, eliminate the need to map values to Python types, and accelerate app development.

Key benefits include:

  • Standard Python DB API 2.0 interface for connecting to SQL Server, MySQL, PostgreSQL, Salesforce, Dynamics, SharePoint, and 100+ other data sources
  • Native Python types - no need to map between Python and database types
  • Support for Pandas, NumPy, and other Python libraries for analytics and machine learning
  • Point-and-click configurator to get started quickly without coding
  • High-performance data connectivity powered by the CData DRIVERS backend
  • Bundles popular Python libraries like SQLAlchemy, Redis, cx_Oracle, pyodbc, etc to simplify coding

With intuitive Python APIs, greatly reduced coding effort, and unparalleled performance, CData Python Connectors help Python developers be massively more productive in building data-driven applications.

CData Python Connectors Features

Features

  1. Connect to SQL Server, MySQL, Salesforce and other data sources from Python
  2. Native Python DB API 2.0 drivers eliminate the need for ODBC drivers or middleware
  3. Built-in support for Pandas DataFrames
  4. Support for Python 2 and 3

Pricing

  • Free Trial
  • Subscription-Based

Pros

Easy integration with Python applications

No need to write manual mapping code

High performance data access

Works with major Python frameworks like Flask, Django, etc.

Cons

Limited to connecting to data sources supported by CData drivers

Additional cost compared to open source database connectors

Requires installing CData software and drivers

Official Links

Official Website
https://www.cdata.com/python/

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