Unlock complete visibility into your data estate with automated column-level lineage extraction from 25+ legacy and modern technologies. Our custom-built parser engine converts legacy code to Python and SQL with +95% accuracy—up to 99% with AI augmentation—no guesswork, no approximations. Organizations use Migryx to realize one of their primary goals: building trusted Data Products with complete lineage, governance, and quality assurance. Intelligent SQL optimization and multi-dialect transpilation accelerate migrations while reducing costs. Optional AI-powered features enhance analytics and design, but our parser engine works independently to deliver production-ready conversions.
Core conversion engine—purpose-engineered parsers that convert legacy code to Python and SQL with +95% accuracy. Up to 99% with optional AI augmentation. Handles SAS macros, vendor SQL extensions, stored procedures, and ETL nuances. Works independently—no AI required.
+95% reliable outputs with zero guesswork. Up to 99% with optional AI augmentation. Every column dependency, transformation, and data flow captured with complete fidelity. No probabilistic models—production-ready conversions powered by our parser engine.
Optional AI features enhance analytics and design. Advanced AI models analyze parsed metadata to surface insights, detect patterns, and recommend optimizations—but the parser engine delivers complete conversions with or without AI.
Custom-engineered parsers for 25+ technologies spanning legacy systems, databases, ETL platforms, programming languages, and modern cloud environments.
All-in-one platform powered by our core parser engine that converts legacy code to Python and SQL with +95% accuracy—up to 99% with optional AI augmentation. Organizations use Migryx to build trusted Data Products with complete lineage, governance, and quality assurance.
DNA-level metadata extraction with complete end-to-end traceability. Track every column transformation, join, filter, and aggregation from source to target across your entire data estate.
Understand downstream impacts before making changes. Identify all dependencies, predict breaking changes, and get proactive alerts when critical calculations or data flows are modified.
Unified catalog with business context, ownership, quality scores, and usage patterns—the foundation for building trusted Data Products. Automatic mapping of business glossary terms to technical assets.
Run converted workloads directly on Snowflake, Databricks, and BigQuery with step-by-step visibility. See each transformation execute in real-time with centralized logs.
Core conversion engine—transform legacy SAS, Oracle, Teradata, and ETL code into modern Python, PySpark, Snowpark, and SQL with +95% accuracy. Up to 99% with optional AI augmentation. Works independently without AI.
Automated reconciliation comparing legacy and modern outputs at row and aggregate levels. Schema validation, data matching reports, and exception trails prove migration parity.
Optional AI feature—context-aware generative AI that enhances analytics and design. Works with parsed metadata to generate unit tests, explain code differences, and suggest mappings.
Intelligent query optimization that automatically improves performance, readability, and maintainability. Convert subqueries to CTEs, optimize joins, suggest indexes—delivering 20-50% performance improvements.
Enterprise-grade SQL translation between 15+ database dialects with 95%+ accuracy. Convert Oracle to Snowflake, Teradata to BigQuery, or any combination—preserving business logic.
Automated Source-to-Target Mapping documentation with complete column lineage, transformation logic, and business context. Generate Excel workbooks and HTML reports ready for compliance and audits.
Unlike generic metadata tools that rely on guesswork, Migryx's core parser engine delivers deterministic, production-grade code conversion and lineage extraction with +95% accuracy—up to 99% with optional AI augmentation.
Core conversion engine—purpose-engineered parsers for each technology that convert legacy code to Python and SQL with +95% accuracy. Up to 99% with optional AI augmentation. Works independently—no AI required.
Metadata refreshed automatically as code evolves. Near real-time visibility into changes, impacts, and dependencies—not stale snapshots from weeks ago.
Deploy and see value in weeks, not 6–12 months. Our parser engine automates code conversion and lineage extraction, minimizing human intervention.
Extract metadata from source code at DNA level—no runtime monitoring, no performance impact on production systems, no agents to deploy.
On-premise, private cloud, or air-gapped deployment. Your code and data never leave your infrastructure. No external connectivity required.
All-in-one integrated platform—no separate modules to license, no expensive consultants to deploy, no complex integration projects to manage.
From discovery to validation, Migryx guides your entire migration journey with automated workflows and comprehensive evidence at every step.
Scan legacy code to build complete inventory. Discover dependencies, macro chains, external calls, and data sources. Produce visual lineage and impact maps.
Automated conversion to Python, PySpark, Snowpark, and SQL for modern platforms. All translations preserve logic with explainable conversions and auto-generated documentation.
Run converted code on target platforms with step-by-step execution visibility. Compare outputs row-by-row and aggregate-by-aggregate to prove migration parity.
Maintain complete data product lineage, governance, and quality monitoring post-migration. Continuous lineage tracking as your data estate evolves.
Our parser engine produces rich, structured metadata from every code artifact—enabling complete lineage, governance, and data product development.
Every source, target, and transformation with full context—schemas, data types, locations, and business logic fully documented.
Sequential transformation steps in execution order with source code locations—aggregations, joins, filters, calculations fully traced.
Upstream sources and downstream consumers automatically identified—complete impact analysis with affected report tracking.
Complexity scores, priority ratings, quality metrics, and actionable recommendations automatically generated.
Ownership, classification, regulatory tags, and compliance metadata integrated for complete data governance.
Organizations using Migryx accelerate migrations, reduce risks, eliminate costs, and deliver proven business outcomes across their modernization initiatives.
Our parser engine works independently to convert legacy code with +95% accuracy—up to 99% with optional AI augmentation. Optional AI features enhance analytics and design—analyzing parsed lineage to surface critical insights, automate documentation, and accelerate modernization.
Parser engine extracts complete dependency maps. Optional AI enhancement uses ML to predict migration risks and recommend optimization strategies.
Parser engine identifies all transformations. Optional AI detects unusual patterns, data quality issues, PII exposure risks, and compliance violations.
Parser engine extracts complete metadata. Optional AI assigns intelligent complexity scores and prioritizes migration efforts based on business impact.
Optional AI feature—ask questions in plain English: "Which SAS programs feed the executive dashboard?" or "Show all PII columns in customer analytics."
Parser engine extracts all metadata. Optional AI generates comprehensive, human-readable documentation for every data pipeline, transformation, and business metric.
Parser engine builds complete lineage graph. Optional AI identifies high-risk migration candidates, recommends testing strategies, and predicts potential failure points.
Organizations use Migryx to realize one of their primary goals: building trusted Data Products. Leverage our comprehensive lineage metadata—extracted by our core parser engine—to build production-ready data products with complete lineage, governance, and quality assurance.
REST APIs, GraphQL, Python SDKs, and CLI tools for seamless integration. Build custom applications, automate workflows, and integrate lineage intelligence into your existing data platforms.
Complete API coverage for lineage queries, impact analysis, and AI insights. Integrate seamlessly with your existing data tools.
Native SDKs with full IDE support, type hints, and comprehensive documentation. Build lineage-aware applications in minutes.
Command-line tools for automation and DevOps integration. Run lineage analysis in your CI/CD pipelines, catch breaking changes before production.
Real-time notifications for lineage changes, impact events, and compliance alerts. Keep your team informed automatically.
16+ products organized into specialized categories. Start with our core platform and add products as your needs grow. All built on our parser engine foundation—with optional AI enhancements.
Foundation products required for all other capabilities
The Foundation
Enterprise platform for data lineage extraction and metadata discovery. The base platform that powers all other Migryx products.
The Transformation Core
Multi-language code parsing and AST generation. +95% accurate parsing (not AI-based)—up to 99% with AI augmentation. Works independently to convert legacy code to Python and SQL.
Transform legacy code to modern platforms
Cross-Dialect SQL Translation
Enterprise SQL dialect converter with 95%+ translation accuracy. Convert between Oracle, Snowflake, Teradata, BigQuery, SQL Server, PostgreSQL, and more.
SAS-to-Python Modernization
Complete SAS workload conversion to Python/SQL. Modernize decades of SAS legacy code with full business logic preservation.
Legacy ETL Modernization
Convert legacy ETL tools to modern orchestration platforms. Preserve workflows, scheduling, and connection configurations.
Ensure migration accuracy and data quality
Migration Testing & Verification
Automated testing framework for code conversions. Validate that converted code produces identical results to legacy systems.
Data Reconciliation Engine
Validate data consistency across migrations. Detect differences, outliers, and ensure data quality throughout the migration process.
From SAS modernization to SQL platform migrations, Migryx delivers measurable results across the most complex enterprise data challenges.
Convert large SAS estates to Python, PySpark, and Snowflake with complete lineage preservation. Our parser engine handles complex SAS macros, PROC steps, and data flows automatically.
Automatically optimize slow-running queries with intelligent restructuring, index recommendations, and performance tuning. Reduce cloud warehouse costs by 40-60%.
Seamlessly migrate SQL workloads between database platforms with enterprise-grade translation accuracy. Convert Oracle to Snowflake, Teradata to BigQuery, or any combination.
Meet GDPR, CCPA, SOX, and BCBS 239 requirements with automated lineage documentation. Generate audit-ready evidence packages in days, not weeks.
On-premise, private cloud, or air-gapped deployments. Your code and data never leave your infrastructure. No external connectivity required. Deploy in weeks, not months.
Fully on-premise with zero external connectivity. Perfect for regulated industries and government entities.
Deploy in your AWS, Azure, or GCP VPC with private endpoints and network isolation.
Simple containerized deployment on your infrastructure with persistent storage.
Install on Windows virtual machines with all services running locally as processes.
SAML/OAuth single sign-on with role-based access control and fine-grained permissions.
Complete audit logging for all actions, API calls, and system events with retention policies.
Native integration with enterprise DevOps pipelines, Git, and orchestration tools.
Process millions of lines of code with distributed parsing and horizontal scalability.
Organizations use Migryx to realize one of their primary goals: building trusted Data Products. Schedule a demo and see our parser engine convert legacy code to Python and SQL with +95% accuracy—up to 99% with optional AI augmentation—providing the foundation for data product development. Experience automated lineage extraction, complete metadata discovery, and data product scaffolding in action within days. Parser engine works independently; optional AI features enhance analytics. All processing happens securely in your environment—your data never leaves.