Programs, copybooks & JCL — lineage and automated conversion.10X SPEED
Everything MigryX ingests from COBOL systems, the engine that converts it, and every target it produces.
Compass scans your COBOL footprint — .cbl and .cob programs, .cpy copybooks, JCL, CICS transactions, VSAM definitions, and DB2 embedded SQL — then classifies each asset as MIGRATE, ARCHIVE, or DELETE. Convert only what matters. Archive the rest. Delete the noise.
COBOL estates grow for decades — millions of lines of code, shared copybooks across hundreds of programs, complex JCL job streams, and unclear dependencies between batch and CICS. Migrating off the mainframe without inventory is high risk.
Hundreds of thousands of files with no visibility into what's actively used.
Legacy licenses and storage costs growing — much of it stale, unused data.
Complex web of programs and datasets. What connects to what is a major challenge.
Can't migrate everything at once. Need data-driven decisions, not guesswork.
Manual analysis takes months. Business needs a clear, prioritized plan — fast.
Which assets drive value? Which are technical debt? Unknown without automation.
One system to scan, score, and classify every COBOL asset automatically — from source programs and copybooks to JCL job streams and DB2/VSAM access patterns.
Automated scanning of every file, every program, every execution log. Build a comprehensive catalog with metadata, dependencies, and usage patterns.
Intelligent scoring engine evaluates each asset on multiple criteria. Get clear MIGRATE, ARCHIVE, or DELETE decisions with phased priorities.
Parse code to extract relationships and external references. Understand full impact before making any change.
Identify archival and cleanup opportunities. Project savings across storage, licensing, and cloud migration costs before committing.
Multi-factor scoring balances cost reduction with migration speed
What teams discover when they inventory COBOL programs, copybooks, and JCL before a platform change
High-performance parallel processing. Hashing detects duplicates automatically.
Parses COBOL divisions, copybook layouts, PERFORM chains, embedded SQL, and CICS commands with high accuracy.
Parses execution logs to track usage patterns, errors, and performance.
Evidence-based decisions: which assets are active vs. never accessed.
Multi-factor algorithm: usage, recency, size, complexity, execution quality.
Priority-based phase assignment optimized for risk and business continuity.
Executive dashboards, migration plans, cost projections, exportable data.
All analysis stored structurally. Run custom queries for any ad-hoc need.
From deployment to actionable migration intelligence — fast.
Point Compass at COBOL source directories, copybook libraries, JCL PROCs, or source-control checkouts. Automated scanning begins immediately.
Parse COBOL divisions, copybook includes, JCL steps and PROCs, analyze execution logs, build a dependency graph. Score every program for priority.
Interactive reports show exactly what to migrate, archive, or delete.
Follow the phased plan. Track progress and realize immediate cost savings.
Scan COBOL programs (.cbl, .cob), copybooks (.cpy), and JCL to build a complete inventory. Discover PERFORM chains, CALL dependencies, copybook includes, DB2/VSAM access patterns, and CICS transaction flows — plus program-to-program call graphs. Produce visual lineage and impact maps that guide the entire migration.
Parser conversion turns COBOL program logic — PERFORM chains, copybook layouts, embedded SQL, VSAM I/O, and CICS commands — into Python (Polars/PySpark) and SQL for Snowflake, Databricks, BigQuery, Redshift, and Fabric. JCL is converted to orchestration. All translations are explainable and auditable.
Run converted workloads in the right order with a driver notebook or job runner. Standardize on Delta and cloud storage, schedule, monitor, and auto retry with centralized logs and metrics.
Partitioned validation compares row level and aggregate outputs between legacy and modern systems. Automatic schema checks, data matching reports, and exception trails give confidence to go live.
Context aware assistance that knows your inventory, lineage, and conversion plans. Generate unit tests, explain diffs, suggest mappings, and draft notebooks with your rules applied.
Visual execution runs converted COBOL workloads directly on Snowflake and Databricks, combining lineage and live code in one workspace with a direct warehouse session and step-by-step visibility to any failure point.
Assess COBOL programs, copybooks, and JCL across the estate, map complexity across PERFORM chains, DB2/VSAM access, and CICS transactions, and flag readiness. Get clear scope, a prioritized plan, safer cutovers, and faster production.
Visualize program calls, copybook includes, DB2/VSAM access, and JCL job flows. Speeds impact checks, lowers migration risk, supports audits, and proves outputs match.
Convert COBOL programs into Python (Polars/PySpark) or SQL with matched outputs — preserving business logic, copybook structures, and data access patterns. When possible, convert directly to SQL for Snowflake/Databricks migration. Modernize faster, keep logic intact, and avoid risky rewrites.
Automatically map COBOL copybook layouts (PIC clauses, REDEFINES, OCCURS) to Snowflake or Databricks schemas. Cut migration risk, enforce naming and data types, and get audit-ready visibility.
Automatic documentation captures your COBOL programs and the new target code, detailing program structure, copybook usage, JCL job flows, and cross-program dependencies for clear traceability.
Compares source and target outputs at scale using configurable keys and rules. Flags mismatches, duplicates, and gaps with actionable reports for fast fixes.
This page is dedicated to migrating COBOL assets — programs (.cbl, .cob), copybooks (.cpy), JCL, CICS transactions, VSAM definitions, and DB2 embedded SQL — into modern Python, SQL, and cloud targets. Need other legacy engines? See the full platform.
Python (Polars/Pandas), PySpark, SQL, Snowflake/Snowpark, Databricks, and cloud platforms.
Everything runs inside your network. No external connections. No data leaves your environment in any scenario.
Deploy MigryX yourself, run the pilot on your own schedule, and keep every COBOL program, copybook, JCL, and converted artifact inside your network.
No consultant. No RFP. Install MigryX in your environment, convert real COBOL programs and JCL, and see results — on your own terms.
| Type | Migration Readiness | Full Pilot | Large Scale Pilot |
|---|---|---|---|
| Discovery | 100,000 LoC | 100,000 LoC | 1 Million LoC |
| Conversion | N/A | 10,000 LoC | 100,000 LoC |
| Duration | 1 week | 4 to 6 weeks | 2 to 4 months |
| Deliverables | Project reports Risk analysis |
Full reports Executed code |
Full reports Executed code |
| Reports | Inventory,lineage,risk | Full project | Full project and JCL |
| Execution | In your environment | In your environment | In your environment |
These pilots are fully self-service — install, run, and evaluate independently inside your own environment. No external consultants required. Pricing and scope can be adjusted to match complexity and urgency.
A compact view of what exists, how it connects, and where risk lives.
End to end view of JCL structure, datasets, and run control with conversion readiness.
Install on your servers or VMs. Optionally deploy inside Kubernetes or OpenShift. Use private cloud networks only.
Secure connectors to Snowflake, Databricks, BigQuery, and Redshift. Keys managed by you.
Project data stored inside your boundary. Logs and evidence live in your storage accounts.
Run on premise or inside your private cloud. No data leaves your boundary.
Role based access. SSO and MFA integration. Fine grained permissions.
Every action is logged. Evidence packs for internal and external reviews.
Templates, naming, and coding standards enforced at generate time.
Project backup and restore under your policies.
No shared services. Your environment only.
Inside your environment. On your hardware or private cloud. You hold the keys.
Python (Polars/PySpark), SQL, DBT models, and Databricks notebooks with comments and mapping sheets. COBOL logic converts to SQL when possible for direct Snowflake/Databricks deployment.
Validation reports and Data Matching show parity between mainframe outputs and modern targets. Approval records provide evidence for audits.
Absolutely. Book a live walkthrough where we parse your own COBOL programs in real time and show you converted output, lineage, and validation results.
JCL is converted to Airflow DAGs, dbt pipelines, or CI/CD workflows. Integrate with ADF, Composer, or Control M. Keep existing schedules or modernize them.
Begin with the pilot. Load a sample of COBOL programs and JCL. Review lineage, conversion, runs, and validation. Scale with confidence.
Questions about COBOL migration? Tell us about your estate and target platform.
