Announcing PropelZ™ for Any Java-Enabled Environment

Universal Data Movement, No Code Required

PropelZ — our no-code ELT engine for moving enterprise data to the cloud and modern databases — now runs on any Java-enabled environment. That means whether your workloads live on mainframe, midrange, UNIX, Linux, Windows, macOS, or virtualized systems, you can land operational data where teams need it (analytics platforms, data lakes, SIEM tools, AI pipelines) with a lightweight install and the same JDBC-based targets you already know.

Why Java, Why Now?

PropelZ began life on IBM Z (z/OS), where it reliably moves mainframe data into cloud and distributed targets with point-and-click simplicity. But as customers expanded their hybrid IT strategies, one theme became clear: the same “move data where it’s needed” problem exists across every platform, not just z/OS.

From our design discussions:

  • Customers want to run the data mover where the data lives, minimizing unnecessary hops and load on other systems.
  • Most enterprise platforms already support Java runtimes, making Java the logical foundation for PropelZ’s portability.
  • Packaging PropelZ as a Java-native solution means it can easily align with cloud marketplace distribution, containerization, and DevOps workflows.

The result: PropelZ is now available anywhere Java runs.

A Brief History: Java as a Universal Runtime

First released in 1995, Java quickly became the language of “write once, run anywhere.” It is now one of the most widely deployed programming environments in the world, powering everything from enterprise servers and embedded devices to Android apps and large-scale cloud services.

By leveraging Java, PropelZ extends its reach far beyond traditional mainframe deployments — giving enterprises a single, consistent data movement tool across heterogeneous environments.

PropelZ for Any Java Environment: Backed by Proven Leadership

At the helm of PropelZ’s technical vision is our Co-Founder and CTO, Vince Re, a recognized innovator and mainframe technology luminary. His pioneering work with Linux on the mainframe earned him election to the elite kernel.org team, a rare honor reflecting both technical depth and open-source leadership.

That same expertise guides our strategy today: building no-code, enterprise-ready tools like PropelZ that bring modern data movement everywhere Java runs — from IBM i to Linux, from UNIX to Windows, and from on-premises servers to cloud-native apps.

How PropelZ for Java Environments Powers Modernization

PropelZ is a no-code ELT tool built to extract enterprise data, land it in JDBC-compatible targets, and let downstream platforms handle transform and analyze. On Java-enabled platforms, that means you can:

  • Feed analytics and BI on platforms like Snowflake, BigQuery, Azure SQL, PostgreSQL, SQL Server, and more.
  • Stream operational data to observability and security tools, including Splunk and Elastic, for compliance and monitoring.
  • Enable lightweight integration with applications, wherever they run, without adding brittle scripts or custom code.
  • Adopt hybrid-cloud patterns at your pace — keep workloads where they are while activating governed copies in the cloud.

Supported Platforms

PropelZ now runs on the following, giving you one tool from mainframe to cloud to desktop:

  • IBM Z (z/OS): Full support for mainframe files (e.g., VSAM and sequential); zIIP-eligible
  • IBM VSE / VSEn (21CS)
  • IBM i (AS/400)
  • UNIX
  • Linux
  • Windows
  • macOS
  • VM-based systems
  • Any Java-enabled environment

Next Steps

If you run any Java-enabled environment and want fast, low-friction data movement to modern targets, we’d love to set up a short briefing and a hands-on proof of value. Most teams are up and moving data in days, not months.

Learn More

Latest Blog Posts

PropelZ™ 2.0 Is Here

PropelZ™ 2.0 Is Here

Built from the Real World, Ready for What’s Next Enterprise data teams don’t need another tool with theoretical capabilities. They need solutions shaped by real workloads, real constraints, and real feedback — from the environments they operate in every day. That’s...

VSAM to PostgreSQL: 460K Records in 25 Seconds

VSAM to PostgreSQL: 460K Records in 25 Seconds

460,000 VSAM Records. 25 Seconds. Into PostgreSQL. With PropelZ™. A global outsourcer recently shared a powerful proof point from a large retail customer: “[A large retailer] just loaded 460K VSAM records into a PostgreSQL database on Google Cloud in 25 seconds.”...