Evidence & Validation
What Others Are Saying
Customer experience. Partner validation. Independent recognition. Measurable results.
See how VirtualZ performs in real enterprise environments — and what customers, technology partners, and independent industry sources have to say about it.
PropelZ sustained approximately 56,000 records per second across 100–200 million-record datasets. In one observed run, 60.9 million records moved in 18 minutes, roughly twice the throughput of the customer’s managed file transfer approach, with no observed production impact.
- Dataset size
- 100 to 200 million records
- Data types
- VSAM, non-VSAM, tape, GDG
- Single run
- 60.9 million records in 18 minutes
- Comparison
- Roughly twice the customer's managed file transfer approach
- Production impact
- None observed
460,000 VSAM records were loaded to PostgreSQL on Google Cloud in 25 seconds.
- Workload
- 460,000 VSAM records
- Target
- PostgreSQL
- Platform
- Google Cloud
- Result
- 25 seconds
On the same ~400,000-record file and load, processing time dropped from about two hours to under five minutes after switching to batch commit.
- Workload
- ~400,000 records
- Before
- Approximately two hours
- After
- Under five minutes
- Change
- Batch commit
- Qualifier
- Configuration/tuning gain, not an out-of-the-box product baseline
PropelZ delivered higher throughput for mainframe-to-cloud and database movements (~500–600 rows/sec to ~6,000 rows/sec, 8–10x improvement) using an optimized Progress DataDirect JDBC driver.
- Improvement
- From ~500–600 rows/sec to ~6,000 rows/sec, an 8–10x improvement
- Comparison
- Open-source JDBC drivers
- Driver
- Progress DataDirect JDBC
Approximately 9,000 mixed-size tape files were processed in about 17.5 hours with 100 transfers running in parallel. Concurrency was deliberately capped at 100 to avoid impacting other LPAR workloads.
- File set
- ~9,000 mixed-size tape files
- Runtime
- ~17.5 hours
- Parallelism
- 100 concurrent transfers
- Constraint
- Concurrency capped to protect other LPAR workloads
- Qualifier
- Constrained run, not a maximum rate
PropelZ sustained about 26,000 64 KB records per second while consuming approximately 3% of a single zIIP engine, moving multiple terabytes per hour.
- Sustained rate
- ~26,000 records per second at 64 KB
- zIIP utilization
- Approximately 3% of a single engine
- Volume
- Multiple terabytes per hour
Explore the evidence
Questions about these results
Is VirtualZ proven at production scale?
Yes. The results on this page include PropelZ sustaining approximately 56,000 records per second across 100–200 million-record datasets, including 60.9 million records moved in 18 minutes. Additional results cover high-volume VSAM-to-cloud movement, large tape workloads, substantial throughput improvements, and low zIIP utilization.
Who has validated VirtualZ?
Validation comes from customers, technology partners, cloud providers, and independent industry sources. Named organizations represented on this page include Zafin, AWS, Microsoft, Progress Software, Rocket Software, Pellera, and Ocient, alongside results and feedback from enterprise teams operating large-scale mainframe environments.
What independent analyst and media recognition has VirtualZ received?
VirtualZ has been recognized or covered by organizations including ISG Provider Lens, CRN / The Channel Company, Intellyx, Blocks & Files, and Freeform Dynamics. Their coverage spans mainframe modernization, enterprise AI data access, cloud integration, and extending mainframe storage beyond traditional infrastructure.
Which VirtualZ products are represented on this page?
The validation spans VirtualZ’s four products: PropelZ™, FlowZ™, Lozen™, and Zaac™. The evidence includes production performance, deployment experience, hybrid mainframe and cloud data access, file movement and storage, modernization use cases, and independent industry recognition.
Can I verify the quotes, metrics, and recognition shown here?
Yes. Each validation record is tied to source material such as customer results, partner blogs and videos, case studies, press releases, analyst research, interviews, or published technical results. Use “View validation” on any card to see its context and source.
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