CData Power BI Connectors vs. CData Python Connectors vs. DynamicDocs Excel Add-in vs. SSIS PowerPack 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/

SSIS PowerPack is a collection of 70+ high-performance, drag-and-drop connectors/tasks for SSIS (i.e. Microsoft SQL Server Integration Services). SSIS PowerPack is designed to boost your productivity using easy-to-use, coding-free components to connect many cloud as well as on-premises data sources such as REST API Services, Azure Cloud, Amazon AWS Cloud, MongoDB, JSON, XML, CSV, Excel, Salesforce, Redshift, DynamoDB, Google API (i.e. Analytics, AdWords), SOAP/Web API, Facebook, Twitter, Zendesk, eBay and many more. SSIS PowerPack also includes high-quality FREE commercial components and tasks with full support/upgrade. Inbuilt Layout Editor for creating complex XML with nested structure (Document Array, Nested attributes, CData Section). Automatically Split exported XML data into multiple files by Size or Number of records. Read XML Document and extract single or multiple properties by name or using XPath expression.