EPISODE · Apr 14, 2026 · 40 MIN
PropelZ for Linux: Data Movement Beyond the Mainframe
from Skyward Data · host VirtualZ
What happens when mainframe-grade data movement runs anywhere, not just on z/OS? VirtualZ Computing Co-Founder and CTO Vince Re joins Co-Founder Dustin Froyum to introduce PropelZ for Linux — the multi-platform extension of VirtualZ's no-code data movement engine — which takes the same engine proven on IBM Z and runs it anywhere Java runs. Vince Re walks through the architecture: why the core engine translates so cleanly across platforms, where the differences lie, and why they're smaller than you'd expect. He and Dustin also dig into the enterprise security capabilities that matter most — field-level filtering, data masking, SSL/TLS support, and sanitizing sensitive data before it ever reaches its target. In this episode of Skyward Data, the podcast from VirtualZ Computing: - PropelZ for Linux runs on Linux, Windows, macOS, IBM i, UNIX, and any Java-enabled environment - A 150–200% throughput improvement over existing ETL solutions, out of the box - 26,000 rows per second to cloud-based Postgres — multiple terabytes per hour - Zero-code, fully declarative setup — running in minutes to hours, not months - A cautionary tale: a financial services firm spent two years on a legacy ETL project, abandoned it, then ran PropelZ the next day - The Multiplexer: parallel processing that moves millions of files at once using full available bandwidth PropelZ moves and replicates data with no code and no homegrown pipelines, now across mainframe and distributed platforms alike. It's part of VirtualZ Computing's no-code portfolio for enterprise data, alongside Lozen (live in-place data access), FlowZ (cloud storage for backup and archive), and Zaac (cloud and SAN as native z/OS storage). Topics: PropelZ for Linux, ETL alternative, data integration, cloud migration, Postgres, multi-platform data movement, data masking, IBM Z, no-code data integration, hybrid cloud. Listen to more Skyward Data episodes: https://virtualzcomputing.com/podcasts/
What this episode covers
What happens when mainframe-grade data movement runs anywhere, not just on z/OS? VirtualZ Computing Co-Founder and CTO Vince Re joins Co-Founder Dustin Froyum to introduce PropelZ for Linux — the multi-platform extension of VirtualZ's no-code data movement engine — which takes the same engine proven on IBM Z and runs it anywhere Java runs. Vince Re walks through the architecture: why the core engine translates so cleanly across platforms, where the differences lie, and why they're smaller than you'd expect. He and Dustin also dig into the enterprise security capabilities that matter most — field-level filtering, data masking, SSL/TLS support, and sanitizing sensitive data before it ever reaches its target. In this episode of Skyward Data, the podcast from VirtualZ Computing: - PropelZ for Linux runs on Linux, Windows, macOS, IBM i, UNIX, and any Java-enabled environment - A 150–200% throughput improvement over existing ETL solutions, out of the box - 26,000 rows per second to cloud-based Postgres — multiple terabytes per hour - Zero-code, fully declarative setup — running in minutes to hours, not months - A cautionary tale: a financial services firm spent two years on a legacy ETL project, abandoned it, then ran PropelZ the next day - The Multiplexer: parallel processing that moves millions of files at once using full available bandwidth PropelZ moves and replicates data with no code and no homegrown pipelines, now across mainframe and distributed platforms alike. It's part of VirtualZ Computing's no-code portfolio for enterprise data, alongside Lozen (live in-place data access), FlowZ (cloud storage for backup and archive), and Zaac (cloud and SAN as native z/OS storage). Topics: PropelZ for Linux, ETL alternative, data integration, cloud migration, Postgres, multi-platform data movement, data masking, IBM Z, no-code data integration, hybrid cloud. Listen to more Skyward Data episodes: https://virtualzcomputing.com/podcasts/
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PropelZ for Linux: Data Movement Beyond the Mainframe
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