PropelZ 2.0: What's New in Mainframe Data Integration

What's new in PropelZ 2.0, and what does the release change for enterprise mainframe data integration? VirtualZ Computing CTO Vince Re walks through the major 2.0 release of PropelZ — VirtualZ's no-code tool for moving and replicating IBM Z mainframe data to the cloud — covering dozens of customer-requested features, including a 60% throughput improvement and native binary data handling. Vince Re explains how real customer problems drove the release: a retailer's binary data requirements, a financial services customer's billion-row processing needs, and a large mainframe outsourcer's enterprise connectivity demands. He shares the technical detail behind each enhancement and how it maps to integration problems enterprises face now. In this episode of Skyward Data, the podcast from VirtualZ Computing: - Custom input/output handlers with variable-length record support and binary data processing - Java method integration delivering a 60% throughput improvement for billion-row workloads - Enhanced incremental processing with minimal-change algorithms that optimize database updates - Software Bill of Materials (SBOM) support for security and supply-chain compliance - Databricks connectivity, SOCKS proxy support, and simplified configuration management PropelZ moves and replicates IBM Z mainframe data to cloud platforms and data warehouses like Snowflake, Databricks, Redshift, and BigQuery with no code and no homegrown pipelines, and is proven at 56,000 records per second, mainframe to cloud. It's part of VirtualZ Computing's no-code portfolio for enterprise mainframe 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 2.0, mainframe data integration, IBM Z, z/OS, binary data, SBOM, Databricks, incremental processing, billion-row data, no-code data integration, hybrid cloud. Listen to more Skyward Data episodes: https://virtualzcomputing.com/podcasts/