Parser-Driven Migration Platform

Migrate Your Legacy Code
to Modern Platforms.

MigryX converts legacy ETL and analytics code into production-ready Python, Snowflake, and Databricks — +95% deterministic parsing accuracy, full column-level lineage, with optional AI augmentation up to 99%.

Book a Demo

Tell us what you'd like to see — we'll demo a live migration of your code.

View detailed migration specs & comparison →
Trusted by enterprise data teams worldwide
Fortune 500 Financial Services Healthcare Government Insurance
Free Resources
Download Our Migration Guides
Learn how MigryX automates legacy migration with +95% parser accuracy
MigryX Brochure (PDF) MigryX Booklet (PDF)

How Parsing + AI Work Together

Two engines. One outcome: migration accuracy that traditional tools can't match.

📁

Legacy Code

SAS, Talend, Alteryx, DataStage, Informatica, ODI

🔎

Precision Parser

Custom-built AST for each technology. +95% accuracy.

Deterministic
🧠

Merlin AI

Understands context, resolves ambiguity, infers intent. Boosts to 99%.

Optional AI

Production Code

Python, PySpark, Snowflake, Databricks, dbt

+95%
Parser Accuracy
25+
Technologies Parsed
85%
Faster Migrations
15+
SQL Dialects

Parsing gets you to 95%.
Optional AI pushes to 99%.

MigryX works without AI — deterministic parsers deliver +95% accuracy on their own. For edge cases like ambiguous macros, undocumented transformations, and implicit type coercions, the optional Merlin AI layer can resolve what parsers miss.

  • Contextual Resolution — Resolves macro variables, implicit joins, and environment-dependent logic that deterministic parsers miss
  • Semantic Understanding — Infers business intent behind transformations, not just translating syntax
  • Auto-Documentation — Generates human-readable documentation, data dictionaries, and STTM mappings
  • Continuous Learning — Improves accuracy as it processes more of your codebase, adapting to your patterns
merlin_ai_output.py
# Source: PROC SQL (SAS)
# AI resolved: &env_schema macro → 'prod'
import pandas as pd
 
def transform_claims(df):
  # AI inferred: inner join intent
  result = df.merge(
    ref_table, on='claim_id',
    how='inner'
  )
  return result
Conversion Accuracy 99.2%

Built for enterprise migration at scale

Purpose-built deterministic parsers producing auditable, production-ready code with full lineage.

The MigryX Platform

Migration is more than code conversion. Discover, trace, and validate every transformation end-to-end — powered by parsing and AI.

From legacy to production in four steps

A proven methodology refined across enterprise engagements — powered by precision parsers.

1

Discover

Upload your codebase. Compass maps every dependency, table, and transformation.

2

Parse + Convert

Precision parsers translate each program with +95% accuracy. Optional Merlin AI resolves edge cases.

3

Validate

Automated data validation ensures output parity between legacy and modern code.

4

Deploy

Ship to Snowflake, Databricks, or any cloud — with full lineage documentation.

See full methodology, impact metrics & comparison →

Deployment & Security

100% secure. On-premises. Self-service.

Your source code never leaves your network. MigryX deploys entirely inside your firewall — on bare metal, VMs, or any container orchestrator — with enterprise authentication and self-service access for your teams.

On-Premises Container Deployment

Ship as OCI-compatible container images. Run on any infrastructure you already operate — no external dependencies, no data egress.

Docker Podman (Rootless) Kubernetes OpenShift
🔒

Air-Gapped Ready

Runs in fully disconnected environments. No internet access required. All dependencies bundled in the container image.

👥

LDAP / Okta / SAML SSO

Integrate with Active Directory, LDAP, Okta, Azure AD, or any SAML 2.0 identity provider. Role-based access control built in.

💻

Self-Service Web UI

Browser-based interface for migration teams. Upload code, run conversions, explore lineage, and download results — no CLI required.

📦

Base Images

RHEL 8, RHEL 9, Amazon Linux 2023, CentOS Stream 9. Choose the OS foundation that matches your enterprise standard.

Minimal Footprint

POC: 4 cores, 8 GB RAM, 20 GB disk. Production: 8 cores, 16 GB RAM, 50 GB disk. Scales horizontally on Kubernetes.

🚀

API-First Architecture

Full REST API for CI/CD integration. Automate migrations in your existing pipelines with Jenkins, GitLab CI, or GitHub Actions.

Cloud Deployment Options

Deploy on your cloud VPC with the same security posture. MigryX runs inside your account — no shared tenancy, no data leaves your environment.

🖥
EC2
m5.2xlarge recommended
📦
ECS (Fargate)
Serverless container orchestration
EKS
Managed Kubernetes
ROSA
Red Hat OpenShift on AWS
🖥
Azure VMs
D8s v3 recommended
📦
ACI
Azure Container Instances
AKS
Azure Kubernetes Service
ARO
Azure Red Hat OpenShift
🖥
Compute Engine
n2-standard-8 recommended
📦
Cloud Run
Fully managed containers
GKE
Google Kubernetes Engine
OCP on GCP
Self-managed OpenShift
🔒
Zero Data Egress
Code never leaves your network
🛡
SOX / GDPR / BCBS
Compliance-ready architecture
👤
SSO & RBAC
LDAP, Okta, SAML, Active Directory
🛠
Self-Service
Web UI, API, IDE access
🚀 For Decision Makers

Your competitors are already modernizing. Are you?

Every month on legacy platforms costs you in licensing, talent, and opportunity. See exactly how MigryX accelerates your timeline.

60–85%
Cost Reduction
4–8x
Faster Than Manual
+95%
Parser Accuracy

15–30 minute demo tailored to your stack. No slides — live migration of your code.

Stop maintaining legacy.
Start shipping modern.

See how precision parsing converts your exact codebase — live, in 15–30 minutes.

Schedule a Demo → Contact Sales
📄 Download Brochure (PDF) 📄 Download Booklet (PDF)