Parser-Driven Migration Platform

Migrate Your Legacy Code
to Modern Platforms.

Purpose-built parsers convert SAS, Talend, DataStage, Informatica, COBOL and more into Python, Snowflake, Databricks and any modern target — +95% deterministic accuracy, validated to row-level parity, entirely inside your network.

Trusted by enterprise data teams in

Banking & Financial Services Insurance Healthcare Government Retail Telecom

We've converted millions of lines of legacy code for Fortune 500 financial, insurance, healthcare, and government data teams — every output validated against the original before go-live.

+95%
Automated Accuracy
Deterministic parser-driven conversion
4–8x
Faster Than Manual
Automated conversion and validation
60–85%
Cost Reduction
vs. manual rewrite engagements

How It Works

Four steps. No guesswork.

From legacy code to production-ready modern output — validated before go-live.

1

Discover

Scan your legacy estate. Build inventory, lineage, and complexity scores.

2

Convert

Parser-driven translation to Databricks, Snowflake, BigQuery, PySpark, or any target.

3

Validate

Row-level comparison proves outputs match. Data parity before go-live.

4

Deploy

Ship to production with orchestration, monitoring, and audit-ready logs.

Why MigryX

We parse it. We don't guess.

Most tools paste your code into an LLM and hope. MigryX uses purpose-built, deterministic parsers — a custom AST for each source technology — producing auditable, repeatable, +95%-accurate output. Optional AI resolves only the genuine edge cases like undocumented macros and ambiguous logic.

25+ Source Technologies Covered

Converts SAS (Base, DI Studio, EG, Viya), IBM DataStage, Informatica, Oracle ODI, Talend, Alteryx, COBOL, SSIS, Teradata BTEQ, PySpark, DataFlux, SQL, and more — into Databricks, Snowflake, BigQuery, PySpark, Polars, Fabric, and any modern target.

What are you migrating from?

Pick your source — we'll show you every target we convert it to, with validated parity.

Don't see your stack? Tell us what you're running →

🧭
Compass: Know what to migrate before you start

Scan your entire legacy estate. Classify every asset as MIGRATE, ARCHIVE, or DELETE. Convert only what matters — archive the rest, delete the noise. 60–80% of most estates can be cleaned up before migration begins.

Explore Compass →

See It Work

One platform: discovery, conversion, validation, lineage and docs

MigryX handles the entire migration lifecycle — from code analysis through validated production deployment.

Deployment

Runs in your environment. Always.

🔒

Runs in your environment

On-premises or your private cloud. Docker, Kubernetes, or OpenShift. Your source code never leaves your network.

🛡

Air-gapped capable

No outbound connections. No external API calls. Fully disconnected operation supported out of the box.

👤

Enterprise-ready

SSO (LDAP, Okta, SAML), role-based access, full audit logs. Compliance-aligned for SOX, GDPR, and BCBS.

Engagement Options

Start with a free assessment. Prove it with a 2-week POC.

Send us a sample of your legacy code — we'll return converted output, a complexity report, and a clear path forward. Then run a formal POC in your environment.

Discovery

1 – 8 weeks

100K to 100M lines of legacy code

  • Full estate scan — inventory every program, macro, and job
  • Lineage & dependency mapping — visual diagrams of all data flows
  • Complexity & risk scoring — conversion difficulty per program
  • Phased migration roadmap — wave plan, SOW, and RACI
  • 10 structured deliverables — ready for steering-committee approval

Conversion POC

2 weeks

10K lines — Proof of Conversion

  • Scope: 10K lines of real production code
  • Automated conversion to Databricks, Snowflake, BigQuery, or any target
  • Data validation: row-count and aggregate reconciliation
  • Execution on your target — not a simulation
  • Go / No-Go report with evidence and confidence scores

Runs entirely in your environment — air-gapped capable. Contact us for enterprise pricing →

FAQ

Common questions from migration teams

How accurate is the conversion?

Deterministic parsers handle 95%+ of typical code out of the box. Optional AI resolves ambiguous macros and undocumented logic, pushing accuracy higher. Every conversion ships with a validation report proving row-level parity.

Does our code leave our network?

No. MigryX runs on-premises or in your own cloud — Docker, Kubernetes, or OpenShift, air-gapped capable. Your source code and data never leave your environment.

How do you prove outputs match?

Partitioned validation compares row-level and aggregate outputs between legacy and modern targets. Automatic schema checks, data matching reports, and exception trails provide audit-ready evidence.

How long does it take for our estate?

Discovery of estates from 100K to 100M lines takes 1–8 weeks. A conversion proof-of-concept on 10K lines runs in 2 weeks. Send us a sample and we'll scope your specific environment.

What sources and targets do you support?

Sources: SAS, Talend, DataStage, Informatica, COBOL, SSIS, Oracle PL/SQL, ODI, Teradata BTEQ, Alteryx, PySpark, DataFlux, and SQL. Targets: Databricks, Snowflake, BigQuery, PySpark, Polars, Fabric, Redshift, dbt, and Python.

How do we get started?

Send us a representative sample of your code. We'll return converted, validated output and a complexity report, free. No commitment required. hello@migryx.com

Get Started

See Your Code Converted — Free

Send us a representative sample of your legacy code. We'll return converted, validated output and a complexity report — free, no commitment.

Free Code Assessment

Send a sample of your code. We'll convert it, validate the output, and return a complexity report. See real results before any commitment.

Request Assessment

Schedule a Demo

See MigryX parse your own code live. Pick your source and target platform and watch it convert in real time. 15–30 minutes, no slides.

Book Time

Buy a License

Self-service deployment in your environment. On-premise or private cloud. Your code never leaves your network.

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