Apache Spark SSIS Components
SSIS Data Flow Source & Destination for Spark
Powerful SSIS Source & Destination Components that allow you to easily connect SQL Server with Spark through SSIS Workflows.
Use the Spark Data Flow Components to synchronize with Spark. Perfect for data synchronization, local back-ups, workflow automation, and more!
Use Apache Spark SSIS Components to:
- Synchronize SQL Server and Apache Spark SQL for seamless back-office integration.
- Automate integration processes like mass imports / updates, data cleansing, and de-duplication.
- Offload queries from operational systems to reduce load and increase performance.
- Connect Apache Spark SQL to analytics for BI and decision support.
- Archive business data for disaster recovery.
Straightforward SQL Server Integration
Use CData Data Flow Tasks to connect SQL Server with Apache Spark SQL without expensive custom integration or application development.
- Use SQL Server Integration Services and Apache Spark SSIS Components to easily connect and synchronize SQL Server with Apache Spark SQL data.
- Full Create, Read, Update, and Delete (CRUD) support.
- Straightforward integration, no custom development required!
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