streamline data integration by providing easy-to-use drivers to connect to live Amazon S3 data. These drivers facilitate seamless integration of Amazon S3 data with BI, reporting, analytics, ETL tools, and custom solutions, enabling access from anywhere. With unmatched query performance and comprehensive access to data and metadata, they seamlessly integrate with favourite analytics tools.

Extend your favourite ETL tools with CData Drivers for Amazon S3 or utilize dedicated ETL/ELT tools for robust data movement and integration. Connect your RDBMS or data warehouse with Amazon S3 to support operational reporting, query offloading, performance enhancement, data governance, disaster recovery, and more. Supporting popular database protocols like ODBC, JDBC, and ADO.NET makes connecting to and managing Amazon S3 data effortless across various database management applications.

Access Amazon S3 data from popular data migration, ESB, iPaaS, BPM tools, and applications like BizTalk, MuleSoft, SQL SSIS, Microsoft Flow, Power Apps, Talend, and more. CData Drivers for Amazon S3 offer a data-centric model that simplifies integration, enabling developers to build higher-quality applications faster. Additionally, they provide a virtual database abstraction for Amazon S3 data, supporting advanced data virtualization features for enhanced query performance and federation capabilities.

This package includes the following components:

• Amazon S3 ADO.NET Provider
• Amazon S3 BizTalk Adapter
• Amazon S3 Cmdlets
• Amazon S3 FireDAC Components
• Amazon S3 JDBC Driver
• Amazon S3 MuleSoft Connector
• Amazon S3 ODBC Driver
• Amazon S3 Power BI Connector
• Amazon S3 SSIS Components
• Amazon S3 Tableau Connector
• Excel Add-In for Amazon S3

Key Features of CData Drivers for Amazon S3:

1. Seamless integration with BI, reporting, analytics, ETL tools, and custom solutions

2. Unmatched query performance and comprehensive access to Amazon S3 data and metadata

3. Extension of ETL tools for robust data movement and integration

4. Support for popular database protocols like ODBC, JDBC, and ADO.NET

5. Simplified connectivity and management of Amazon S3 data across various database management applications

6. Access from popular data migration, ESB, iPaaS, BPM tools, and applications

7. Data-centric model for simplified integration and accelerated application development

8. Virtual database abstraction for enhanced query performance and federation capabilities