CData Drivers for Apache Kafka serve as a robust data integration solution, offering standardized connectors to connect live Apache Kafka data seamlessly with various reporting tools, databases, and custom applications. This facilitates easy integration with BI, reporting, analytics, ETL tools, and custom solutions, ensuring efficient data connectivity.

Accessing live Apache Kafka data becomes effortless across BI, analytics, reporting, ETL, and custom applications. The drivers ensure optimal query performance, comprehensive access to Kafka data and metadata, and smooth integration with popular analytics tools for BI and analytics needs.

extend support to various ETL tools for ETL, replication, and warehousing, ensuring robust, reliable, and secure data movement. This enables connecting RDBMS or data warehouses with Kafka, enhancing operational reporting, query offloading, data governance, disaster recovery, and more. Developers benefit from a data-centric model for Kafka integration, simplifying the process and accelerating application development. The drivers also support data virtualization features, providing a virtual database abstraction on Kafka data with capabilities for query federation and predicate pushdown. CData Drivers for Apache Kafka offer a comprehensive solution for simplifying data integration and connectivity tasks.

This package includes the following components:

• Apache Kafka ADO.NET Provider
• Apache Kafka JDBC Driver

Key Features of CData Drivers for Apache Kafka :

1. Seamless integration with BI, analytics, reporting, ETL, and custom applications
2. Optimal query performance and comprehensive access to Apache Kafka data
3. Support for various ETL tools, ensuring robust, reliable, and secure data movement
4. Connectivity between RDBMS or data warehouses and Kafka for operational reporting and query offloading
5. Support for standard database protocols (ODBC, JDBC, ADO.NET) and wire-protocol interfaces (SQL Server, MySQL)
6. Integration with workflow and automation tools like BizTalk, MuleSoft, SQL SSIS, Microsoft Flow, Power Apps, Talend, etc.
7. Simplified Kafka integration with a data-centric model for accelerated application development
8. Data virtualization features for a virtual database abstraction on Kafka data.
9. Advanced capabilities for query federation and predicate pushdown
10. Comprehensive solution for simplifying data integration and connectivity tasks.