Mainframe Data Integration for MongoDB

Connect Mainframe Data to MongoDB Without ETL or Complexity

As enterprises embrace modern database solutions like MongoDB, they face a critical challenge: how to integrate legacy mainframe data with modern, scalable, and flexible NoSQL databases. Many organizations still rely on IBM Z mainframes for mission-critical workloads but struggle to bridge the gap between structured mainframe data and the schema-flexible nature of MongoDB. With VirtualZ’s Lozen™ and PropelZ™ solutions, enterprises can seamlessly connect mainframe data to MongoDB — without replication, ETL complexity, or performance bottlenecks.  Read on for more details and also check out the webinar.

Why Connect Mainframe Data to MongoDB?

MongoDB is a leading NoSQL database that provides flexibility, scalability, and high-performance analytics. However, most mainframe data remains locked in legacy formats such as VSAM, DB2, IMS, and flat files, making integration difficult.

By bringing real-time mainframe data into MongoDB, enterprises can:

  • Enhance AI & Analytics: Enable advanced AI/ML applications with real-time access to historical and transactional mainframe data.
  • Improve Operational Efficiency: Store, retrieve, and analyze mainframe data alongside modern applications in MongoDB.
  • Enable Cloud-Native Development: Build and scale microservices and cloud applications without being constrained by mainframe data silos.
  • Strengthen Security & Compliance: Centralize real-time event logs, transactions, and user data for compliance and security monitoring.

How VirtualZ Enables Seamless Mainframe-to-MongoDB Integration

Lozen: Real-Time, Secure Access to Mainframe Data

Lozen provides a no-code solution that allows applications to directly access mainframe data from MongoDB — without replication.

  • Real-Time Data Access: Query live mainframe data from MongoDB as if it were native to the platform.
  • No Data Duplication: Eliminate the need for costly, redundant ETL processes and data copies.
  • Secure Connectivity: Enforce policy-based access controls to mainframe data from MongoDB queries.
  • Optimized Performance: Reduce batch processing delays by enabling instant transactional data access.

PropelZ: Transform and Stream Mainframe Data to MongoDB

PropelZ is a lightweight, high-performance tool that allows organizations to extract, format, and push mainframe data into MongoDB in real time.

  • Automated Data Transformation: Convert EBCDIC, COBOL copybooks, VSAM, and DB2 data into JSON or BSON formats for MongoDB.
  • Seamless Streaming: Move mainframe data to MongoDB without disrupting legacy applications.
  • Cloud-Ready Architecture: Integrate MongoDB Atlas and other cloud-hosted MongoDB instances for hybrid and multi-cloud deployments.
  • Event-Driven Automation: Enable real-time alerts and triggers based on mainframe events in MongoDB.

Use Cases: How Enterprises Are Leveraging VirtualZ for MongoDB

  • AI & Machine Learning: Banks and financial institutions feed real-time transactional data from mainframes into MongoDB to train fraud detection models.
  • Observability & Security: Enterprises aggregate mainframe logs, SMF records, and RACF security data into MongoDB for SIEM and security analytics.
  • Application Modernization: Companies migrate legacy applications to modern, microservices-based architectures, using MongoDB as a scalable backend.
  • Customer 360 Initiatives: Retailers and telecom companies integrate customer transaction histories from mainframes with MongoDB-powered customer insights platforms.

Why VirtualZ + MongoDB?

  • Zero-Code Mainframe Integration: Connect mainframes to MongoDB without complex ETL or middleware.
  • Real-Time Access: Avoid batch delays and access live, transactional data instantly.
  • Scalable & Cost-Effective: Reduce mainframe processing costs with optimized data access and movement.
  • Security & Compliance Ready: Ensure secure, auditable, and policy-driven access to mainframe data.

The Future of Mainframe Data in MongoDB Starts Now

As enterprises modernize, seamless access to mainframe data is critical for unlocking new insights, enabling AI/ML, and supporting cloud-native applications. With Lozen and PropelZ, VirtualZ Computing makes it easier than ever to integrate real-time mainframe data into MongoDB—without complexity, risk, or disruption.

Learn More

Latest Blog Posts

Accessing What Matters in 2026

Accessing What Matters in 2026

Secure Data Strategies for Modern Enterprises In 2026, data is no longer something enterprises manage in the background — it’s the asset shaping how they compete, comply, and innovate across every environment. Customers aren’t asking for more pipelines, tools, or...

Mainframe Modernization in 2026

Mainframe Modernization in 2026

What Customers Need Now Mainframe modernization in 2026 looks very different than it did even a few years ago. Customers are no longer asking how to “get off the mainframe.” They’re asking how to use it better — how to connect trusted enterprise data to cloud...

Storage Modernization in 2026

Storage Modernization in 2026

Faster Access, Lower Cost — Zero Disruption Enterprise storage strategy is undergoing a fundamental shift. In 2026, storage decisions are no longer driven by hardware refresh cycles or multi-year migration programs. They’re driven by cost pressure, elasticity...