Column-level lineage from SAS, SQL, ETL, and 30+ languages — with zero guesswork.
Platform Overview
Extract comprehensive metadata from SAS, SQL dialects, ETL tools, and programming languages with custom-built parsers engineered for +95% accuracy. Up to 99% with optional AI augmentation. Then optionally leverage AI to analyze, optimize, and accelerate modernization.
Purpose-built for each language and dialect — not generic AST generators. Understands SAS macros, SQL vendor extensions, and ETL nuances.
Deterministic parsing delivers +95% reliable outputs. Up to 99% with optional AI augmentation. Every column dependency, transformation, and data flow captured with complete fidelity.
State-of-the-art models analyze parsed metadata to surface insights, detect patterns, recommend optimizations, and accelerate modernization.
Comprehensive Coverage
30+ languages and platforms with custom-built parsers engineered for precision and completeness.
SAS
Legacy Analytics
Snowflake
Cloud DW
Databricks
Lakehouse
BigQuery
Cloud DW
Redshift
Cloud DW
Fabric
Microsoft
Teradata
Enterprise DW
Oracle
PL/SQL
SQL Server
T-SQL
PostgreSQL
Open Source
The Problem
Can't trace data from source to output across files, projects, and columns.
No visibility into which datasets, macros, or includes depend on each other.
No understanding of execution order, parallel streams, or critical paths.
Zero insight into what breaks when a source changes.
What a Trusted Data Product Requires
Our Approach
One metadata model — programs, datasets, columns, dependencies — drives lineage, analysis, risk, and execution intelligence. Language-agnostic. Built for enterprise modernization.
Full dataset and column lineage from source to output at file, project, and column level.
ML clustering, risk scoring, dependency analysis, execution streams, and readiness scoring.
Interactive table and graph views with STTM column lineage, search, and export.
Data Lineage
Trace every column from raw source to final output — across files, projects, and systems. File-level, project-level, and column-level STTM lineage in one place.
Source → transformation → output for each file. Dataset nodes with DDL, Columns, and STTM actions.
Cross-file flows, shared datasets, full pipeline view. File-to-file dataset dependencies mapped visually.
Trace exactly how each column is built from sources. Source-to-Target Mapping with transformation logic.
Impact analysis: what feeds it, what it feeds. Click any column link to see transformation logic, operation, and module.
Lineage Tracer
Table view for audit/export; graph view for interactive exploration. Dataset nodes expand to columns; detail panel shows metadata, stats, STTM.
Full-text search, chain-level filtering, file or project scope. Search, filter, and export lineage records in CSV / JSON / Excel.
Click any column link to see transformation logic, operation, and module. Column-level links with STTM detail panel.
CSV, JSON, Excel for compliance, documentation, and downstream use. Audit-ready exports for governance teams.
AI Intelligence
State-of-the-art AI models — trained on billions of lines of production code — analyze parsed lineage to surface critical insights, automate documentation, detect risks, and accelerate modernization.
Identify downstream dependencies, circular references, and critical data paths. Predict migration risks and recommend optimizations.
Detect unusual transformation patterns, flag PII exposure risks, and surface compliance violations automatically at scale.
AI assigns complexity scores to every column and pipeline. Prioritize migration by business impact and technical difficulty.
Ask in plain English: "Which SAS programs feed the executive dashboard?" Instant, accurate answers from your lineage graph.
Generate comprehensive, human-readable documentation for every pipeline and transformation — stays current as code evolves.
Dependencies graph with 182 nodes, 187 links, job & dataset flow visualization. 32 jobs and 150 datasets tracked with full impact analysis.
Dataset Intelligence
Execution streams, complexity hotspots, and structural analysis to identify fan-in, fan-out, monolithic, and circular dependencies.
Upstream/downstream dataset relationships with full visibility across the project.
Independent chains that can run in parallel. 15+ streams identified for parallelization analysis.
Pareto distribution & hotspot detection. Identify fan-in, fan-out, monolithic, and circular dependencies.
Automatic domain classification by usage patterns across your entire data estate.
Natural groupings for deployment. Identify logical execution units for migration sequencing.
Hops from raw inputs to final datasets. Understand pipeline complexity at a glance.
Per-dataset and per-program migration readiness assessment powered by parser analysis, enhanced with optional AI.
Complexity + missing deps = prioritized risk. Parser-driven risk scoring with optional AI for every component.
Merlin Insights — Sample Project
Data Products
Leverage comprehensive lineage metadata to build trusted data products, accelerate migrations, ensure governance, and enable analytics — all powered by precision parsing and AI.
Automated SAS-to-Python/SQL migration with lineage-aware code generation and automated testing.
Auto-populate data catalogs with rich metadata, lineage, and business context from any source.
Before any change, instantly see every downstream consumer, report, and dashboard affected.
Build certified, versioned data products with built-in lineage, quality metrics, and SLAs.
End-to-end traceability for GDPR, CCPA, SOX, BCBS 239 with audit-ready reporting.
AI identifies bottlenecks, redundant computations, and cost reduction opportunities across pipelines.
Developer Platform
REST APIs, GraphQL, Python SDKs, and CLI tools for seamless integration into your existing data platforms and workflows.
Complete API coverage for lineage queries, impact analysis, and AI insights. Integrate with your existing data tools.
Native SDKs with full IDE support, type hints, and comprehensive documentation.
Command-line tools for automation. Run lineage analysis in your CI/CD pipelines and catch breaking changes before they ship.
Real-time notifications for lineage changes, impact events, and compliance alerts.
Head to Head
Custom parsers + AI vs. generic tooling
| Capability | MigryX | Generic Tools |
|---|---|---|
| SAS Language & Macro Parsing | ✓ | ✗ |
| Custom Parser Architecture (Zero Guesswork) | ✓ | ✗ |
| 100% Column-Level Lineage Accuracy | ✓ | ~ |
| State-of-the-Art AI Insights & Analysis | ✓ | ✗ |
| Vendor SQL Extension Support (All Dialects) | ✓ | ~ |
| ETL Tool Integration (Informatica, DataStage, etc.) | ✓ | ✗ |
| Mainframe & Legacy System Support | ✓ | ✗ |
| Cross-Platform Dependency Tracking | ✓ | ~ |
| Natural Language Querying | ✓ | ✗ |
| Impact Analysis & Migration Planning | ✓ | ~ |
| On-Premise / Air-Gapped Deployment | ✓ | ✗ |
✓ Full support ~ Partial / approximate ✗ Not supported
Use Cases
Migrate decades of SAS analytics to Snowflake, Databricks, or BigQuery. Automated lineage, AI code generation, and dependency-aware sequencing.
Enterprise-wide governance with automated metadata discovery, PII classification, and policy enforcement across all platforms.
Identify bottlenecks, eliminate redundant transformations, and reduce cloud warehouse costs by 40-60% through parser-driven analysis with optional AI.
Prove end-to-end lineage for GDPR, CCPA, BCBS 239, SOX. Generate audit-ready reports in minutes — not weeks.
Analysis Engine
Five-stage pipeline transforms raw source code into trusted, actionable data products.
What the Engine Delivers
End to End
Run analysis on code and data flow — executive summary, metrics, dependencies, risk, migration strategy.
File-level and project-level lineage — who feeds whom; column-level STTM for fine-grained transparency.
Lineage Tracer — table view for audit/export; graph view for storytelling; STTM for compliance.
Detect and visualize dependencies — impact analysis, issue checklist, safe change management.
Export lineage, reports, PDFs; share links; use insights and risk for prioritization and compliance.
Enterprise Ready
Full deployment behind your firewall with zero data leakage. Complete data sovereignty.
Enterprise identity management, role-based access control for teams of any size.
Native integration with DevOps pipelines and version control. Catch breaking changes automatically.
Process millions of code artifacts with distributed parsing. Built for the largest enterprise estates.
OpenAI, Gemini, AWS Bedrock, Cortex, or custom GenAI. Your cloud, your model.
Dedicated success team with 24/7 support SLAs. White-glove onboarding for complex environments.
Get Started
Schedule a discovery call or request a deep-dive demo. We'll show you exactly how MigryX Compass maps your codebase — column by column, source to target.