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

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