Desktop vs. Platform
How It Works
Supported Stacks
Deployment
About Us
Desktop vs. Platform
How It Works
Supported Stacks
Deployment
About Us
SAS Modernization ·
SAS2PY moves SAS workloads to Databricks, Snowflake, BigQuery, or Python. Most of the code converts automatically, so your team reviews instead of rewriting, and every result is checked row by row against the original, giving risk and audit the evidence they need to sign off.
Instant download · No email required · Run analysis locally on your machine.
Why migrations stall
Three reasons: the license renewal arrives before the plan is ready, the code is rewritten by hand, and nobody can prove the new output matches the old. SAS2PY is built to remove each one.
License renewals arrive before the migration plan is ready, so the platform you want to leave gets another multi-year contract.
Most of the code converts automatically, so the plan is ready before the renewal is.
Consultants rewrite thousands of programs by hand. It is slow, costly, and every rewrite is a new chance to change a number.
Your engineers review converted code instead of rewriting it, and the output is the same on every run.
Risk and audit teams won't sign off on "it looks right." Without evidence, cutover slips and both platforms keep running.
Every result is compared row by row, and the report is the evidence.
Two Ways to Start
Have someone on your team run a free analysis on their laptop in minutes, or walk through the multi-user platform we run at regulated enterprises. Both use the same conversion engine.
Download the desktop analyzer directly to your machine. Start with basic analysis immediately, unlock deep analysis for free inside the app, and purchase licenses when ready to convert.
The complete enterprise web platform we run at 28 regulated organizations and 6 G-SIB banks—built for end-to-end discovery, conversion, row-level parity validation, and lineage.
How the Engine Works
Every conversion follows the same four steps: 90%+ of the code converts automatically, results are compared to the original row by row, AI proposes fixes for anything that differs, and nothing is accepted until it matches or an engineer signs off.
Source-specific parsers rewrite 90%+ of the code deterministically.
Data Matching compares target output to the original, row by row.
SAS2PY AI reads the exception report and logs, and proposes a fix for the blocks that differ.
Validated again. Accepted only when every row matches, or routed to an engineer.
Explore the Bounded AI Harness & MCP Servers (Cursor, Copilot, Claude & Databricks) →
Audit-Ready Validation
Risk committees don't sign off on "the code looks right." Data Matching compares every row and every aggregate of the converted output against the legacy baseline.
SAS2PY Enterprise Platform · Data Matching row-level parity report
Click any source and target below to preview how SAS2PY parses, converts, and validates the workload.
Source technologies (click to select)
Target platforms (click to select)
Also emitted: Python, dbt, SQLMesh & Informatica IDMC
Alongside Platform Migration Tools
Use your cloud platform's native SQL translator where it fits. SAS2PY covers SAS then proves row-level parity across all of them.
| Capability | Lakebridge (Databricks) | SnowConvert AI (Snowflake) | BigQuery Migration Service | SAS2PY (Desktop & Platform) |
|---|---|---|---|---|
| Target | Databricks | Snowflake | BigQuery | Databricks, Snowflake, BigQuery, PySpark, Polars, dbt & more |
| SQL dialects → target | Yes, free | Yes, free | Yes, free | Yes |
| Informatica, Teradata, DataStage | Teradata, DataStage | Teradata; Informatica in preview | Teradata (SQL, BTEQ, TPT) | All three + Alteryx, Qlik, Talend, ODI (deterministic parsers) |
| SAS & Mainframe COBOL | Assessment (Analyzer) | Outside its scope | Outside its scope | Full conversion of SAS (Base, macros, IML) & COBOL / JCL / Copybooks |
| Data validation | Reconcile module | Data validation, some sources | Data Validation Tool | Automated row-level & aggregate parity with audit exception report |
| Lineage & impact | Unity Catalog | Snowflake | Dataplex | End-to-end cross-platform lineage & signed evidence pack |
| Where it runs | Locally, with a Databricks workspace | Desktop app; AI features use Snowflake | Google Cloud service | Free local Desktop analyzer, Cloud portal, or 100% air-gapped self-hosted |
Platform tool columns summarize each vendor's public documentation as of September 2026.
Production Track Record
Deployed across regulated banking, insurance, healthcare, and life sciences estates where row-level audit sign-off is mandatory.
SAS
Databricks
PySpark
Snowflake
dbt
Google Cloud
Python
Informatica IDMCMost enterprise migrations target Databricks and PySpark.
Includes 6 Global Systemically Important Banks (G-SIBs) where model-risk and audit teams require row-level parity evidence.
Clinical, biopharma, and public-sector analytics pipelines migrated with full lineage and zero data loss.
3 large global enterprises plus 50+ smaller engineering teams running SAS2PY on self-service subscriptions.
Customer reference calls with peer engineering and model-risk teams are available upon request.
Deployment
As a hosted SaaS portal at app.sas2py.com with nothing to install (request access), or self-hosted in your own environment: Docker, Kubernetes, OpenShift, or a Windows VM. Self-hosted, your source code never leaves your network.
app.sas2py.com, nothing to install, migrate from your browser. Request access →
One-command install on-premises or in your private cloud: Docker, Kubernetes, or OpenShift. 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.
FAQ
SAS2PY Desktop downloads immediately with no email gate. Run Basic analysis locally on your machine for free to inventory and size your files. When you want to run Level 1 deep analysis (lineage, macro complexity, and readiness), the desktop app asks you to register for free inside the app. Code conversion requires purchasing a license.
Start with SAS2PY Desktop when you want to analyze your own code on your machine in minutes and convert workloads on demand. Choose the SAS2PY Enterprise Platform when you want our full multi-user enterprise web UI, automated row-level Data Matching across large estates, SSO/RBAC governance, and self-hosted or cloud workspaces.
Parsers produce the exact same output every run, making results repeatable and reviewable for audit and model-risk teams. Raw LLMs generate different code each run and hallucinate on large programs. SAS2PY uses deterministic parsers for 90%+ of the code, applies SAS2PY AI only to unresolved blocks, and validates every row before acceptance.
The converted program and the legacy original run on the same input, and Data Matching compares the two outputs row by row on key columns, plus row counts, sums, nulls, and distinct values. Every discrepancy is listed in an exception report, and a program is accepted only when that report is clean.
Not unless you choose to. SAS2PY Desktop runs locally on your machine with nothing uploaded. Self-hosted SAS2PY Enterprise Platform deploys on-premises or in your private cloud (Docker, Kubernetes, or OpenShift, 100% air-gapped capable). A hosted cloud workspace at app.sas2py.com is also available.
Sources: SAS. Targets: Databricks, Snowflake, BigQuery, Microsoft Fabric, AWS Glue, PySpark, Polars, Iceberg, dbt, Python, SQLMesh, and Informatica IDMC.
Get Started
Book a 30-minute walkthrough on your own workload, or have your team run a free local analysis today.