CData Drivers for Apache Spark provide seamless connectivity between Apache Spark and a variety of BI, analytics, reporting, and data visualization tools. These bi-directional data drivers enable users to access live Apache Spark SQL data effortlessly, facilitating integration with BI, Reporting, Analytics, ETL Tools, and Custom Solutions. With SQL mapping to Spark SQL, these drivers ensure a smooth integration experience, offering unmatched query performance and comprehensive access to Spark data and metadata across diverse analytics platforms.
For ETL, replication, and warehousing tasks, offer robust solutions for secure and reliable data movement. Whether extending the capabilities of existing ETL tools or providing standalone solutions for replication, these drivers streamline processes and enhance efficiency. Users can connect their RDBMS or data warehouse with Spark to optimize operational reporting, offload queries for improved performance, support data governance initiatives, and facilitate disaster recovery efforts.
By supporting popular database protocols such as ODBC, JDBC, and ADO.NET, CData Drivers for Apache Spark simplify data management tasks, allowing seamless integration with various database management applications. Integrating workflow automation tools further enhances productivity, enabling straightforward access to Spark data from popular applications like BizTalk, MuleSoft, SQL SSIS, Microsoft Flow, Power Apps, Talend, and more. With a data-centric model for Spark integration, developers can build high-quality applications faster, leveraging advanced features for data virtualization like query federation and predicate pushdown provided by CData Spark Drivers.
This package includes the following components:
