AI
Proof
Pricing
Book a demo
Get the free SAS assessment
AI
Proof
Pricing
Book a demo
Get the free SAS assessment
Targets
Warehouses
SAS to Databricks · On-prem, air-gapped, or cloud
SAS2PY is enterprise software that converts Base SAS, macros, Enterprise Guide, and DI Studio code into native Databricks, Snowflake, BigQuery, or Python. Parsers convert 95%+ of typical SAS code, MigryX AI fixes the rest, and every row is validated against the SAS output before you switch SAS off.
The assessment runs on your machine. Your SAS code is not uploaded.
SAS2PY is the SAS product from MigryX. Demos, pricing, and the portal live on migryx.com. Updated .
Runs on the model you approve: Azure OpenAIAmazon BedrockGoogle Vertex AIDatabricksSnowflake CortexSelf-hosted
Why SAS migrations stall
Three reasons: the SAS renewal arrives before the plan is ready, DATA steps and macros are rewritten by hand, and nobody can prove the new output matches SAS. SAS2PY is built to remove each one.
The SAS renewal arrives before the migration plan is ready, so SAS gets another multi-year contract.
Parsers convert most of the SAS code, so the plan is ready before the renewal is.
Consultants rewrite DATA steps, PROCs, and macros by hand. It is slow, costly, and every rewrite is a new chance to change a number.
Deterministic parsers give the same output every run. MigryX AI handles the macros they can't.
Risk and audit teams won't sign off on "it looks right." Without evidence, cutover slips and SAS keeps running beside the new platform.
Every result is compared to the SAS output row by row, and the report is the evidence.
How it works
Every SAS job runs the same four-step loop: parsers convert, Data Matching validates row by row against the SAS output, MigryX AI fixes what differs, and the result is checked again. Nothing is accepted until the outputs match.
First · DiscoverScan the SAS estate. Build the inventory, lineage, and complexity scores that scope the work — Compass.
SAS parsers rewrite DATA steps, PROCs, and macros deterministically.
Data Matching compares target output to the SAS output, row by row.
MigryX AI reads the exception report and logs, and proposes a fix for the blocks that differ.
Validated again. Accepted when it matches, or routed to an engineer.
Then · Hand offAccepted code and its evidence go to your platform's own scheduler, such as Databricks Workflows or Airflow, so SAS can be switched off. After go-live, Atlas keeps the lineage current.
Databricks, PySpark, Polars, Snowflake, AWS Glue, BigQuery, Microsoft Fabric, and Iceberg, from Base SAS, macros, PROC SQL, DI Studio, Enterprise Guide, or Viya. Pick a SAS workload and a target. We rewrite it as native code for that platform — not SAS sitting on a cheaper server.
SAS source
Target platforms
Need a different target? Tell us what you need →
Why this is different
No. Lift-and-shift moves SAS onto a cloud VM, or wraps DATA steps in Python that still runs one row at a time, so you keep SAS. SAS2PY rewrites the workload as native code for the platform you actually want to run.
Walkthrough
Nine minutes, one production job, start to finish. Nothing sped up.
Convert a SAS job yourself in the live converter →
Recorded on an earlier version of the portal.
Why SAS2PY
SAS2PY parses the code; the alternatives guess, rehost, or rewrite by hand. 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.
| Ways to leave SAS | SAS2PY | AI / LLM tools | Services firms (manual rewrite) |
|---|---|---|---|
| SAS actually leaves — not lift-and-shift | ✓ | ✓ | ✓ |
| 95%+ of typical code converted deterministically | ✓ | ✗ | ✗ |
| Row-level validation / data parity proof | ✓ | ✗ | ~ |
| Multi-target (Databricks, Snowflake, BigQuery, PySpark, Polars) | ✓ | ~ | ~ |
| Self-service software (no consultants required) | ✓ | ✓ | ✗ |
| Column-level data lineage & STTM | ✓ | ✗ | Manual |
| Full SAS coverage (Base, DI Studio, EG, Viya, macros, PROCs) | ✓ | ~ | ~ |
✓ Full support ~ Partial / limited ✗ Not supported. Tools that keep you on SAS, such as SAS Viya or SLC (formerly WPS), are covered in the lift-and-shift section above.
As of September 2026.
Pricing
Per line of SAS code, at rates published on our site. No per-consultant rates and no "contact us for a quote" to get a first number. The free assessment counts your SAS code, and the pricing page turns that count into a cost.
Deployment
As a hosted SaaS portal at app.migryx.com with nothing to install, or self-hosted in your own environment — Docker, Kubernetes, OpenShift, or a Windows VM. Self-hosted, your SAS code never leaves your network.
app.migryx.com — nothing to install, start migrating from your browser. Request access →
One-command install on-premises or in your private cloud. With AI off or a self-hosted model, there are no outbound connections and it runs fully disconnected.
SSO (LDAP, Okta, SAML), role-based access, and full audit logs come standard.
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.
Deterministic parsers convert 95%+ of typical SAS code out of the box, and MigryX AI proposes fixes for ambiguous macros and undocumented logic. Whatever the mix, nothing is accepted until row-level parity passes, and the validation report is the proof.
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.
Automated migration uses a parser that reads SAS (DATA steps, PROCs, macros, DI Studio jobs) and generates equivalent Spark, SQL, or Python, the same way every run. A manual rewrite has consultants read each program and retype it, which is slow, costly, and introduces a new chance of error in every program. SAS2PY automates the conversion and the proof; people review exceptions instead of rewriting code.
The converted job and the original SAS job run on the same input, and Data Matching compares the two outputs row by row on key columns, then compares row counts, sums, nulls, and distinct values. Every difference is listed in an exception report with the row, the column, and the values. A job is accepted only when that report is empty, and the report is the evidence kept for auditors.
Parsers. A parser produces the same output every run, so results are repeatable and reviewable, which is what audit and model-risk teams require. An LLM can produce different code each time and cannot guarantee it preserved the SAS logic. SAS2PY uses parsers for the 95%+ of code they handle, applies MigryX AI only to the macros they cannot resolve, and validates every AI change row by row before it is accepted.
Two parts: a platform fee of $9,900 per year per installation, and MigryX Conversion Units (MCUs) at $90 list. One MCU is one simple 500-line SAS program; complex macros and DI Studio jobs draw more MCUs per program. Prepaying 100 MCUs earns 10% off, rising to 50% at 5,000. Installations licensed in India, Southeast Asia, Latin America, or Africa pay 65% of these rates. Basic discovery is included; the pricing page turns your SAS line count into a figure.
Databricks Lakebridge, Snowflake SnowConvert AI, and BigQuery Migration Service convert SQL dialects well but do not parse SAS macros or DI Studio. SAS-compatible runtimes such as Altair SLC keep you writing SAS. General-purpose LLM tools generate plausible code with no repeatability or proof. Manual rewrite engagements run for years. SAS2PY combines purpose-built SAS parsers, AI for the remainder, row-level validation, and a signed evidence pack, for any target platform. The comparison table above is dated September 2026.
1. Run the free assessment to inventory the SAS estate and size it. 2. Convert with the SAS parsers to PySpark and Delta; MigryX AI handles the macros they cannot resolve. 3. Run both versions on the same data and validate row by row with Data Matching. 4. Fix exceptions and re-check until the report is clean. 5. Hand accepted jobs to Databricks Workflows and switch SAS off. Details on the SAS to Databricks page.
SAS2PY is built by MigryX, with offices in Indianapolis, USA and Hyderabad, India, and serves customers in North America, Europe, the UK, the Middle East, India, Southeast Asia, Australia, and Latin America. Software is delivered as self-hosted installs or through the SaaS portal, so location does not limit deployment. Growth-region pricing applies where the installation is licensed.
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
Leave your email and we send the free assessment. It runs on your machine, counts and sizes your SAS code, and uploads nothing.
One field: your email. The download link arrives in your inbox. Run it on your SAS code and get counts, complexity, and a size estimate in MCUs, our pricing unit (one MCU is about 500 lines of simple SAS).
Get the free assessment →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 →Open the live converter, paste a real SAS job, and read the generated PySpark block by block. No signup.
Try it yourself →Trusted by 28 enterprise customers, including 6 global systemically important banks. See the proof, or ask for a reference call in your demo.