VirtualZ™ + Google Cloud: No-Code Mainframe Integration for AI, Analytics, and Hybrid Cloud

VirtualZ Computing empowers Google Cloud customers with something transformative: real-time, no-code access to enterprise data and storage — across IBM Z, Linux, Windows, IBM i, VSEn, and more — seamlessly integrated with Google Cloud services including BigQuery, Vertex AI, GCS, Looker, and beyond.

Whether you’re a data scientist, app modernization lead, or infrastructure architect, VirtualZ solutions make your IBM Z and distributed-platform data accessible, governed, and cloud-ready — with no ETL, no scripts, and no delays.

Built on our patented suite of products — PropelZ™, FlowZ™, Lozen™, and Zaac™ — VirtualZ unlocks the full value of enterprise data for AI, ML, analytics, DevOps, observability, and cloud storage modernization on Google Cloud.

The Problem: Mainframe Data is Critical — But Hard to Reach

Your most trusted enterprise data often lives on IBM Z — but legacy access methods are slow, brittle, and expensive:

• Real-time access requires replication or fragile ETL pipelines
• Cloud tools can’t easily ingest mainframe data — especially IMS or VSAM
• Data scientists wait on manual exports or batch jobs to get started
• Storage and backup workflows remain locked in costly hardware
• Application modernization stalls due to data migration bottlenecks

VirtualZ eliminates these barriers with out-of-the-box integration, secure data delivery, and no-code pipelines that connect IBM Z and the rest of your core platforms directly to Google Cloud.

PropelZ: No-Code, Multi-Platform ELT for BigQuery, Vertex AI, and Beyond

PropelZ makes structured enterprise data available across Google Cloud — no matter where it starts or how complex the source. It’s not limited to IBM Z: PropelZ runs across mainframe and open systems, including Linux, Windows, IBM i, and VSEn, to unify data movement into Google Cloud.

• Extract data from COBOL copybooks, SMF, VSAM, Db2, IMS, flat files, relational sources, and more
• Land data directly into BigQuery, Looker, Vertex AI, Cloud Storage, or other JDBC targets
• Supports batch or micro-batch delivery — without fragile replication or custom scripts
• Fully zIIP-eligible on IBM Z, with incremental update support and data exclusion controls
• Built for governed sharing: deliver only the data you intend to expose, at the cadence you choose

Whether you’re building data pipelines for ML, analytics, observability, or compliance, PropelZ delivers cloud-usable data in hours — not weeks.

FlowZ: Mainframe File Access to and from Google Cloud

FlowZ allows z/OS applications to read from and write to Google Cloud Storage as if it were a native z/OS file — no FTP, no middleware, no code.

• Exposes Google Cloud Storage buckets as standard datasets on z/OS
• Supports both read (AI scoring, decisioning) and write (backup, offload) use cases
• Keeps file formats intact — no need to restructure existing logic
• Enables hybrid cloud workflows, DevOps integration, and file-based data sharing

For real-time AI pipelines, distributed backups, and seamless hybrid operations — FlowZ delivers unmatched simplicity and speed.

Lozen: Real-Time Read/Write Data Access from GCP to IBM Z

Lozen enables applications hosted in Google Cloud Platform (GCP) to read from and write to live IBM Z data — with no replication, no migration, and no compromise.

• Securely access VSAM, IMS, or Db2 in place, with full read/write support
• Ideal for application modernization where you migrate apps but not the data
• Avoids compliance risks by keeping data at rest on IBM Z
• No ETL, no SQL rewrites, no additional hardware

From App Engine to Cloud Run and from Vertex AI to BigQuery, your Google Cloud applications can now interact with your most valuable mainframe data in real time.

Zaac: Cloud-Based Storage for IBM Z — Powered by GCS

Zaac transforms storage for IBM Z by enabling real-time, compliant integration with Google Cloud Storage or other cloud/SAN platforms.

• Replace or supplement DASD and tape with scalable object storage
• Write directly from mainframe jobs to cloud — no intermediate staging needed
• Supports encryption, duplexing, deduplication, and retention controls
• Fully transparent to existing apps and JCL

Modernize your storage architecture, retire expensive hardware, and help meet DORA, GDPR, PCI, and SOX mandates with a simple, plug-and-play solution.

Use Cases Across the Google Cloud Ecosystem

Aligned with Google Cloud’s AI and Modernization Strategy

VirtualZ aligns with Google Cloud’s mission to democratize data and enable secure, scalable modernization:

• Instantly connect IBM Z, Linux, Windows, IBM i, and more to Vertex AI, BigQuery, Looker, and GCS using one consistent approach
• Avoid lift-and-shift migrations and risky replication
• Replace fragile toolchains with no-code, install-in-hours software
• Enable hybrid architectures with governed, real-time data sharing

We’re working closely with Google Cloud to onboard VirtualZ solutions to Marketplace and activate joint go-to-market programs with top GCP partners.

Why VirtualZ + Google Cloud?

• No-Code: Install, configure, and run with no custom development
• Real-Time: Support both micro-batch and real-time data flows
• Multi-Platform: PropelZ runs across IBM Z, Linux, Windows, IBM i, VSEn, and more
• Secure: Keep sensitive data at rest on Z, or control movement precisely
• Compliant: Help meet DORA, PCI 4.0, GDPR, and other mandates
• Flat-Fee Pricing: Unlimited use across your organization — no per-GB surprises

Get Started Today

VirtualZ gives Google Cloud customers a new way to integrate mainframe and distributed systems into their cloud strategy — one that is simpler, faster, and more secure.

• Schedule a briefing.
• Watch demos.
• Visit our Customer Briefing Center.
• Review all VirtualZ Use Cases, Thought Leadership papers, and Solution Briefs.
• Explore our YouTube channel, podcasts, and blog.
• Still have questions? Contact us.