Book a demo
AI Proof Pricing Book a demo Scan your code free

Targets

Warehouses

Runtimes

Beyond SAS

SAS to Databricks · On-prem, air-gapped, or cloud

Turn SAS programs into native cloud workloads.

Deterministic parsers convert SAS to Databricks, or to Snowflake, BigQuery, and Python. MigryX AI resolves the macros parsers cannot. Nothing is accepted until the output matches the original — in your data center, air-gapped, or in the cloud.

Deterministic parsers MigryX AI Row-level proof On-prem and cloud

Or try the live converter — no signup · estimate your cost

SAS2PY converter · code view SAS → PySpark
The converter: SAS macro code on the left and the generated PySpark on the right, with each block marked Passed.
Passed · every block converted and tagged actual product screenshot

Runs on the model you approve: Azure OpenAIAmazon BedrockDatabricksSnowflake CortexSelf-hosted

28
regulated enterprises
6
global systemically important banks
18
SAS estates moved
95%+
converted by deterministic parsers

MigryX AI

Parsers where it must be exact. AI where it helps. Proof on every row.

Every SAS job runs through the same loop. Nothing is accepted until the outputs match the original.

01

Convert

SAS parsers rewrite DATA steps, PROCs, and macros deterministically.

02

Validate

Data Matching compares target output to the SAS output, row by row.

03AI

Fix

MigryX AI reads the exception report and logs, and proposes a fix for the blocks that differ.

04PROOF

Re-check

Validated again. Accepted when it matches, or routed to an engineer.

MISMATCH · exception report
column total_paid
expected [SAS value]
actual [target value]
PROPOSED FIX · MigryX AI
SAS rounding rule not preserved
- F.sum("paid_amt")
+ F.round(F.sum("paid_amt"), 2)
MATCHED · re-check
all rows matched
exceptions 0
fix accepted into evidence pack
Reads the whole estate, not one file Works from the exception report Runs on a model you approve, air-gapped too
How MigryX AI works

SAS in. Native platform out.

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

Base SASDatabricks

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, with AI where it helps
  • PROCs and macros become native, readable code
  • Every output checked against the original, row by row
  • SAS can actually leave

Walkthrough

Watch a real SAS job modernize.

Nine minutes, one production job, start to finish. Nothing sped up.

Recorded on an earlier build — the portal has since been redesigned. See the current one and convert a job yourself →

Why SAS2PY

We parse it. We don't guess.

General-purpose LLM tools guess. SAS-compatible runtimes and vendor cloud moves keep you in SAS. Manual rewrite engagements run for years. SAS2PY parses your code with purpose-built compilers, then proves every row matches the original. Parsers where it must be exact. AI where it helps. Proof on every row.

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
SAS can actually leave 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) ~ ~

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

Deployment

SaaS, or in your own environment.

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.
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. MigryX 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 we get started?

Book a 30-minute demo and we will walk a SAS job you already run. Want to look first? Convert a real SAS job with no signup. Questions? Contact us

Get Started

Start on Your Terms

Book a demo and we will walk a SAS job you already run. Or convert one yourself, with no signup.

Book a demo

Thirty minutes on a SAS job you already run. We show the converted output, what still needs a person, and how an engagement would run.

Book a demo

Convert a SAS job now

Open the live converter, paste a real SAS job, and read the generated PySpark block by block. No signup.

Try it yourself

How an engagement runs

Five stages, and you decide how far to go — discovery, proof of concept, pilot, first production wave, full estate. See who does the work and what we need from you.

How we work