CData Drivers for Google Contacts offers a user-friendly and bi-directional solution for effortless data integration, enabling the seamless reading, writing, and updating of Google Contacts. This versatile tool facilitates easy integration of Google Contacts data with BI, reporting, analytics, ETL tools, and custom solutions, providing accessibility from anywhere.

In BI and analytics, CData's drivers stand out for their speed and simplicity in connecting real-time Google Contacts data. With unmatched query performance, comprehensive data and metadata access, and seamless integration with popular analytics tools, these drivers empower efficient data visualization and analysis.

Beyond analytics, the drivers extend their utility to cover ETL, replication, and warehousing needs. Supporting connectivity with relational databases or data warehouses, they enhance operational reporting, query offloading, and performance optimization while also providing essential support for data governance initiatives. are developer-friendly, simplifying integration for a faster application development process, and they incorporate advanced data virtualization features for enhanced flexibility in managing Google Contacts data.

This package includes the following components:

• Excel Add-In for Google Contacts
• Google Contacts ADO.NET Provider
• Google Contacts BizTalk Adapter
• Google Contacts Data Cmdlets
• Google Contacts FireDAC Components
• Google Contacts JDBC Driver
• Google Contacts MuleSoft Connector
• Google Contacts ODBC Driver
• Google Contacts Power BI Connector
• Google Contacts SSIS Components
• Google Contacts Tableau Connector

Key Features of CData Drivers for Google Contacts :

1. Bi-directional drivers for reading, writing, and updating Google Contacts data
2. Seamless integration with BI, reporting, analytics, ETL tools, and custom solutions
3. Access Google Contacts data from anywhere
4. Fast and easy connectivity for real-time data in BI and analytics
5. Unmatched query performance and comprehensive access to data and metadata
6. Integration with popular analytics tools for efficient data visualization
7. Extends functionality to cover ETL, replication, and warehousing needs
8. Connects relational databases or data warehouses with Google Contacts for operational reporting and performance enhancement
9. Support for data governance initiatives and disaster recovery through data archiving
10. Compatibility with popular database protocols like ODBC, JDBC, and ADO.NET
11. Integration with workflow and automation tools, including BizTalk, MuleSoft, SQL SSIS, Microsoft Flow, Power Apps, Talend, and more
12. Developer-friendly with a data-centric model for simplified integration
13. Data virtualization features for a virtual database abstraction and advanced capabilities like query federation and predicate pushdown.