Base SAS · Enterprise Guide (EGP) · DI Studio · SAS Viya10X SPEED
Everything MigryX ingests from the SAS ecosystem, the engine that converts it, and every target it produces.
dbt
Airflow
Openflow
Git / CI
PySpark
Snowpark
Databricks
Dataproc
Fabric
EMRSnowflake
BigQueryFabricDatabricks
RedshiftCOMPASS scans your entire legacy environment — every file, program, and dependency — then classifies each asset as MIGRATE, ARCHIVE, or DELETE. Convert only what matters. Archive the rest. Delete the noise.
Organizations face massive legacy environments with no clear path forward.
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 your entire estate automatically.
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 organizations discover when they truly understand their legacy environments
High-performance parallel processing. Hashing detects duplicates automatically.
Extracts datasets, deps, libraries, SQL, and relationships 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 your SAS directories. Automated scanning begins immediately.
Parse code, analyze logs, build dependency graph. Score every file for priority.
Interactive reports show exactly what to migrate, archive, or delete.
Follow the phased plan. Track progress and realize immediate cost savings.
Scan SAS, DataStage, Informatica, Teradata BTEQ, PL1, and JCL to auto build a complete inventory. Discover dependencies, macro chains, external calls, data sources, and fan in or fan out hot spots. Produce visual lineage and impact maps that guide the entire modernization.
Parser conversion into Python, PySpark, Snowpark, and SQL for Snowflake, Databricks, BigQuery, Redshift, and Fabric. 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 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.
Quickly assess thousands of scripts, map complexity and dependencies, and flag readiness. Get clear scope, a prioritized plan, safer cutovers, and faster production.
Visualize code across jobs, tables, and SQL to see sources, flows, and changes. Speeds impact checks, lowers migration risk, supports audits, and proves outputs match.
Convert legacy SAS, DataStage, BTEQ, and more into Python, PySpark, Snowpark, or SQL with matched outputs. Modernize faster, keep logic intact, and avoid risky rewrites.
Automatically map legacy schemas to Snowflake or Databricks with clear mappings. Cut migration risk, enforce naming and data types, and get audit-ready visibility.
Automatic documentation captures your legacy code and the new target code, detailing working components, parameters, and 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.
SAS (Base, DI Studio, EG/EM, Viya), IBM DataStage, Oracle ODI, Teradata BTEQ, Informatica, and Alteryx. These are fully supported inputs for automated conversion.
Python (Pandas), PySpark, 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 byte of source code inside your network.
No consultant. No RFP. Install MigryX in your environment, convert real code, 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, PySpark, Snowpark, SQL, DBT models, and Databricks notebooks with comments and mapping sheets.
Validation reports and Data Matching show parity. Approval records provide evidence for audits.
Absolutely. Book a live walkthrough where we parse your own SAS programs in real time and show you converted output, lineage, and validation results.
Integrate with Airflow, ADF, Composer, or Control M. Keep existing schedules or modernize them.
Begin with the pilot. Load a sample of code. Review lineage, conversion, runs, and validation. Scale with confidence.
Questions about SAS migration? Tell us about your estate and target platform.
