CData Drivers for GraphQL streamline connectivity to GraphQL data across applications, ensuring flexibility in integration with reporting tools, databases, and custom apps. These drivers provide high query performance and secure data movement, whether in BI, analytics, ETL, replication, or warehousing scenarios.

Simplifying data management, CData Drivers for GraphQL support standard protocols like ODBC, JDBC, and ADO.NET, enabling easy connection and management of GraphQL data across various databases. Integration with workflow and automation tools, such as BizTalk, MuleSoft, SQL SSIS, Microsoft Flow, and others, enhances accessibility to GraphQL data. Thanks to the data-centric model, developers benefit from a streamlined process, accelerating the development of high-quality applications.

offer advanced data virtualization features, including a virtual database layer and support for query federation. This enhances data virtualization capabilities, providing an efficient solution for organizations seeking versatile GraphQL data connectivity and management.

This package includes the following components:

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

Key Features of CData Drivers for GraphQL :

1. Seamless integration with GraphQL data sources.
2. Effortless connectivity with reporting tools, databases, and custom applications.
3. Flexibility and interoperability across diverse platforms.
4. Unparalleled query performance for real-time GraphQL data in BI and analytics.
5. Comprehensive access to GraphQL data and metadata.
6. Extends ETL tools with GraphQL connectivity for robust data movement.
7. Reliable and secure data replication and warehousing capabilities.
8. Support for standard database protocols (ODBC, JDBC, ADO.NET).
9. Simplifies connection and management of GraphQL data across databases.
10. Integration with popular workflow, data migration, and automation tools.
11. Connectivity with applications like BizTalk, MuleSoft, SQL SSIS, and more.
12. Data-centric model for GraphQL, accelerating application development.
13. Virtual database abstraction layer for GraphQL data.
14. Supports query federation with advanced capabilities for delegation and pushdown.
15. Ensures secure connectivity and data movement.
16. Advanced data virtualization features for versatile data management.