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Modernize from

Modernize SAS to

Products

Modernization · SaaS or Self-Hosted · AI Optional

Modernize SAS. not lift-and-shift

Deterministic parsers rewrite SAS to Databricks, Snowflake, BigQuery, and Python — proven row by row, no LLM guessing. AI is an optional add-on. SAS actually leaves.

Send a sample. We'll show you modernized code — not a slide.

Watch a real SAS job modernize

SAS in. Native platform out.

Pick a target. We rewrite the workload for it — not SAS sitting on a cheaper server.

Need a different target? Tell us what you need →

Why this is different

Lift-and-shift keeps SAS. We don't.

Moving SAS onto a cloud VM, or wrapping DATA steps in Python, is the same job in a new costume. We rewrite the workload for the platform you actually want to run.

Lift-and-shift

  • SAS on a cheaper server
  • A SAS-compatible runtime — you still write SAS
  • Line-by-line Python that still processes one row at a time
  • You keep the license, the skills gap, and the overnight window

Modernization

  • Deterministic, parser-driven rewrite to Spark, SQL, and Python — AI optional
  • PROCs and macros become native, readable code
  • Every output checked against the original, row by row
  • SAS can actually leave
95%+
Automated Accuracy
Deterministic parser-driven modernization
4–8x
Faster Than Manual
Automated modernization and validation
60–85%
Cost Reduction
vs. manual rewrite engagements

Used by data teams in

Banking & Financial Services Insurance Healthcare Government Retail Telecom

Millions of lines of production SAS, modernized and matched to the original before go-live.

Case Studies

Real estates. Real numbers.

Three production modernizations — what moved, how it was validated, and what it took.

All case studies →

How It Works

Four steps. No guesswork.

Discover the estate. Rewrite it. Prove every row. Then go live.

1

Discover

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

2

Modernize

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

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.

See It Work

Watch a SAS job become Spark.

Discovery, rewrite, validation, lineage, and docs — one platform, not a rehost.

Why SAS2PY

We parse it. We don't guess.

ChatGPT guesses. WPS and Viya keep you in SAS. Services firms rewrite by hand for years. SAS2PY parses your code with purpose-built compilers, then proves every row matches. AI is optional — turn it off and the modernization still runs.

Capability SAS2PY AI / LLM WPS (World Programming) SAS Viya Professional Services Companies
Leaves SAS — not lift-and-shift ~
Deterministic parser (95%+ accuracy) N/A N/A
Eliminates SAS license fees Still pays WPS Still pays SAS
Row-level validation / data parity proof N/A N/A ~
Multi-target (Databricks, Snowflake, BigQuery, PySpark, Polars) SAS only ~
Self-service software (no consultants required)
Column-level data lineage & STTM
Full SAS coverage (Base, DI Studio, EG, Viya, macros, PROCs) ~ ~
Cost vs. manual rewrite 60–85% less Unvalidated Still paying licenses $$$$$ (SAS fees) $$$$$

✓ Full support    ~ Partial / limited    ✗ Not supported    N/A = Not a modernization tool

Deployment

SaaS or self-hosted. Your choice.

Use the hosted SaaS portal at app.migryx.com with nothing to install, or deploy in your own environment — Docker, Kubernetes, OpenShift, or a Windows VM, up in under an hour. Self-hosted, your SAS code never leaves your network.

☁️

SaaS portal

app.migryx.com — nothing to install, start modernizing from your browser. Request access →

🛡

Self-hosted & air-gapped

One-command install on-premises or in your private cloud. No outbound connections, no external API calls — fully disconnected operation supported.

👤

Team access when you need it

SSO (LDAP, Okta, SAML), role-based access, and full audit logs — there when your security team asks for them.

One-command install
Docker or Windows VM — running in under an hour.
Air-gapped & private
No outbound connections. Code stays on your infra.
Your own timeline
Start, pause, iterate. No engagement contract needed.

Pilot Options

Run the Pilot Yourself — or Have Us Run It

No consultant required, no RFP: modernize real SAS code on the SaaS portal or in your own environment. And if your team knows SAS but not the target platform, our modernization engineers will run the pilot for you.

Self-service or full-service.Run it yourself, or we run it for you
Modernize. Generate modern code.Run on your own schedule. Iterate freely.
All data stays in your network.Air-gapped capable. Zero external calls.

Modernization Readiness

1 – 8 weeks

Discovery & insights — 100K to 100M lines of SAS

  • Full estate scan — inventory every program, macro, and job
  • Lineage & dependency mapping — visual diagrams of all data flows
  • Complexity & risk scoring — modernization difficulty per program
  • Shareable HTML reports — run them yourself, share internally
  • Access: Self-service. No consultant required.

Full Pilot

2 weeks

10K lines — proof of modernization, run by you

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

Guided Modernization

Scoped to your estate

Optional full service — we run it for you

  • Team knows SAS, not PySpark? Our engineers run the modernization and validation for you
  • You receive documented, readable code your team can own from day one
  • Training & handover so your SAS developers ramp up on the target platform
  • Access: Full-service, or side-by-side with your team

Modernization Readiness and Full Pilot are fully self-service — run them on the SaaS portal or inside your own environment, air-gapped if you need it. Guided Modernization adds our engineers wherever you want the help. Scope and pricing adjust to match complexity and urgency.

Email us to get your pilot license →  ·  Or request a free sample assessment

FAQ

Common questions from modernization teams

Is this lift-and-shift?

No. Lift-and-shift puts SAS on a cheaper server, or wraps DATA steps in Python that still process one row at a time. We rewrite the workload as native Spark, SQL, and Python, then prove every row matches the original.

How accurate is the modernization?

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

Does our code leave our network?

Not unless you choose to. Self-hosted SAS2PY runs on-premises or in your own cloud — Docker, Kubernetes, or OpenShift, air-gapped capable — and your code never leaves your environment. Prefer zero setup? The SaaS portal at app.migryx.com runs the same engine in our secure cloud.

How do you prove outputs match?

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

How long does it take for our estate?

Deployment itself takes under an hour. Modernization Readiness on estates from 100K to 100M lines runs 1–8 weeks, and a Full Pilot on 10K lines takes about 2 weeks — both run by your own team on your own schedule.

Do we need consultants or a services engagement?

Only if you want one. SAS2PY is self-service software: you run the modernization and keep the output, with no required services contract or RFP. But if you'd rather have it done for you, our Guided Modernization service puts our engineers on the modernization end to end.

Our team only knows SAS — is this still for us?

Yes. Generated code ships documented and readable, with mapping sheets that tie every output back to the original SAS. Start with the SaaS portal or a guided pilot where we do the modernization, and your team ramps up on the target platform through training and handover.

What targets do you support?

Databricks notebooks, PySpark, Snowflake SQL, Snowpark, BigQuery, Polars, Fabric, Redshift, Cloudera, DBT models, and Python — with comments, mapping sheets, and auto-generated documentation.

How do we get started?

Fastest path: email us for access to the SaaS portal at app.migryx.com and start modernizing from your browser. Prefer your own environment? Get a pilot license and install the same day. Or send a representative sample and we'll return modernized, validated output and a complexity report, free. hello@migryx.com

Get Started

Start on Your Terms

Run a pilot yourself — on the SaaS portal or in your own environment — have us modernize a sample first, or hand us the whole modernization. Either way you see real modernized, validated output from your own SAS code before committing to anything.

Run the Pilot Yourself

Start on the SaaS portal at app.migryx.com, or install SAS2PY in your own environment. Modernize real SAS code on your own schedule — no consultant required. Prefer full service? We'll run it for you.

See Pilot Options

Free Code Assessment

Prefer proof first? Send a sample of your SAS code. We'll modernize it, validate the output, and return a complexity report — free.

Request Assessment

Understand the Approach

Five stages, and you decide how far to go — discovery, proof of concept, pilot, first production wave, full estate. See who does the work, what we need from you, and where a demo, pricing, or deployment fits in.

How we work