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Unlock the Power of Mainframe Data with Snowflake and PropelZ™
In this podcast, hosted by Dustin Froyum and Vince Re, Co-founders of VirtualZ Computing, we explore how organizations can overcome the challenges of traditional ETL models to efficiently migrate and utilize mainframe data in modern cloud environments like Snowflake.
Traditional methods of extracting, transforming, and loading (ETL) mainframe data are often costly, resource-intensive, and time-consuming, requiring weeks or even months to implement changes. These legacy processes can lack agility, create fragile architectures, and fail to maintain the robust security controls inherent to mainframe systems.
Enter PropelZ™, a powerful, mainframe-based solution designed to streamline data migration and integration. Propels operates entirely on the mainframe, eliminating the need for additional platforms or middleware. It leverages metadata, such as COBOL copybooks, to transform mainframe data into structured formats suitable for modern databases like Snowflake, Oracle, PostgreSQL, and more. With PropelZ™, organizations can achieve high-throughput data transfers, incremental processing for near real-time updates, and seamless integration with cloud platforms—all while maintaining mainframe security controls.
Key highlights of the podcast include:
Efficient Data Migration: PropelZ™ eliminates the need for complex, multi-step ETL processes by directly connecting to mainframe data sources (e.g., VSAM files, sequential files) and transforming data into rows and columns for target databases.
Incremental Processing: PropelZ™ can scan large datasets and identify changes (inserts, updates, deletes), enabling near real-time synchronization without the overhead of traditional change data capture methods.
Cost-Effective and Scalable: PropelZ™is ZIP-enabled, reducing mainframe processing costs, and is priced at $50,000 per year for unlimited use within an enterprise, including support for five certified database drivers (Snowflake, Oracle, PostgreSQL, MySQL, and Microsoft SQL Server).
Flexibility and Agility: PropelZ™ supports ad hoc use cases, allowing semi-technical users to quickly extract and transform data for reporting, analytics, or AI applications. It also enables data masking, filtering, and multiplexing to multiple targets simultaneously.
Snowflake Integration: PropelZ™ seamlessly integrates with Snowflake, enabling organizations to leverage Snowflake’s advanced analytics, AI tools (e.g., Copilot), and data warehousing capabilities without the delays and complexities of traditional ETL processes.
Additionally, the webinar introduces Lozen™, another VirtualZ product designed for real-time, read-write access to mainframe data from distributed systems. Unlike Propels, which replicates data to target databases, Lozen™ keeps data on the mainframe while providing secure, file system-based access for distributed applications. This approach ensures data integrity and eliminates synchronization issues, making it ideal for transactional systems requiring real-time updates.
The session concludes with a Q&A, addressing topics such as:
Whether you’re looking to modernize your data strategy, reduce costs, or accelerate time-to-value for cloud analytics, this webinar demonstrates how PropelZ™and Lozen™, can help you unlock the full potential of your mainframe data. Join us to learn how VirtualZ Computing is transforming the way organizations integrate and leverage their mainframe assets in the cloud era.
For more information, visit VirtualZ Computing or contact us at [email protected].
View all episodes
By VirtualZIn this podcast, hosted by Dustin Froyum and Vince Re, Co-founders of VirtualZ Computing, we explore how organizations can overcome the challenges of traditional ETL models to efficiently migrate and utilize mainframe data in modern cloud environments like Snowflake.
Traditional methods of extracting, transforming, and loading (ETL) mainframe data are often costly, resource-intensive, and time-consuming, requiring weeks or even months to implement changes. These legacy processes can lack agility, create fragile architectures, and fail to maintain the robust security controls inherent to mainframe systems.
Enter PropelZ™, a powerful, mainframe-based solution designed to streamline data migration and integration. Propels operates entirely on the mainframe, eliminating the need for additional platforms or middleware. It leverages metadata, such as COBOL copybooks, to transform mainframe data into structured formats suitable for modern databases like Snowflake, Oracle, PostgreSQL, and more. With PropelZ™, organizations can achieve high-throughput data transfers, incremental processing for near real-time updates, and seamless integration with cloud platforms—all while maintaining mainframe security controls.
Key highlights of the podcast include:
Efficient Data Migration: PropelZ™ eliminates the need for complex, multi-step ETL processes by directly connecting to mainframe data sources (e.g., VSAM files, sequential files) and transforming data into rows and columns for target databases.
Incremental Processing: PropelZ™ can scan large datasets and identify changes (inserts, updates, deletes), enabling near real-time synchronization without the overhead of traditional change data capture methods.
Cost-Effective and Scalable: PropelZ™is ZIP-enabled, reducing mainframe processing costs, and is priced at $50,000 per year for unlimited use within an enterprise, including support for five certified database drivers (Snowflake, Oracle, PostgreSQL, MySQL, and Microsoft SQL Server).
Flexibility and Agility: PropelZ™ supports ad hoc use cases, allowing semi-technical users to quickly extract and transform data for reporting, analytics, or AI applications. It also enables data masking, filtering, and multiplexing to multiple targets simultaneously.
Snowflake Integration: PropelZ™ seamlessly integrates with Snowflake, enabling organizations to leverage Snowflake’s advanced analytics, AI tools (e.g., Copilot), and data warehousing capabilities without the delays and complexities of traditional ETL processes.
Additionally, the webinar introduces Lozen™, another VirtualZ product designed for real-time, read-write access to mainframe data from distributed systems. Unlike Propels, which replicates data to target databases, Lozen™ keeps data on the mainframe while providing secure, file system-based access for distributed applications. This approach ensures data integrity and eliminates synchronization issues, making it ideal for transactional systems requiring real-time updates.
The session concludes with a Q&A, addressing topics such as:
Whether you’re looking to modernize your data strategy, reduce costs, or accelerate time-to-value for cloud analytics, this webinar demonstrates how PropelZ™and Lozen™, can help you unlock the full potential of your mainframe data. Join us to learn how VirtualZ Computing is transforming the way organizations integrate and leverage their mainframe assets in the cloud era.
For more information, visit VirtualZ Computing or contact us at [email protected].