CData Drivers for PostgreSQL drivers and connectors offer a streamlined solution for data integration, enabling seamless access to PostgreSQL-compatible databases across various applications. With unparalleled query performance and comprehensive metadata access, these drivers facilitate real-time data utilization within BI, analytics, reporting, and ETL tools. Whether it's operational reporting, query offloading, or supporting data governance initiatives, CData's solutions ensure robust and reliable data movement while enhancing overall performance.
The versatility of CData Drivers for PostgreSQL extends to workflow and automation tools, allowing effortless integration with popular applications like BizTalk, MuleSoft, and SQL SSIS. This seamless connectivity ensures smooth data migration, ESB integration, iPaaS support, and BPM alignment, enabling organizations to maximize the efficiency of their existing tech stack. Developers benefit from a simplified integration process, leveraging a data-centric model that accelerates application development and fosters higher-quality outputs.
Furthermore, CData Drivers for PostgreSQL support advanced data virtualization features, providing a virtual database abstraction layer atop PostgreSQL data. This facilitates query federation and predicate pushdown, enhancing data accessibility and enabling more efficient query processing. Overall, CData Drivers for PostgreSQL empower organizations to unlock the full potential of their PostgreSQL data, enabling agile and efficient data utilization across a wide range of applications and workflows.
This package includes the following components:
- Excel Add-In for PostgreSQL
- PostgreSQL ADO.NET Provider
- PostgreSQL BizTalk Adapter
- PostgreSQL Data Cmdlets
- PostgreSQL JDBC Driver
- PostgreSQL MuleSoft Connector
- PostgreSQL ODBC Driver
- PostgreSQL Power BI Connector
- PostgreSQL SSIS Components
- PostgreSQL Tableau Connector
Key Features of CData Drivers for PostgreSQL :
- Unmatched query performance
- Comprehensive access to PostgreSQL data and metadata
- Seamless integration with BI, analytics, reporting, and data visualization technologies
- Robust, reliable, and secure data movement for ETL, replication, and warehousing
- Support for popular database protocols like ODBC, JDBC, and ADO.NET
- Integration with workflow and automation tools such as data migration, ESB, iPaaS, and BPM tools
- Compatibility with developer tools and technologies for simplified integration
- Data-centric model for PostgreSQL, simplifying application development
- Data virtualization features for query federation and predicate pushdown
- Enhanced efficiency and agility in accessing and utilizing PostgreSQL data across diverse applications and workflows.
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