When should we use SAS2PY Desktop vs. the SAS2PY Enterprise Platform?

Start with SAS2PY Desktop when you want to analyze your own code locally on your machine in minutes and convert workloads on demand. Choose the SAS2PY Enterprise Platform when you want the full multi-user enterprise web UI, automated row-level Data Matching across large estates, role-based access control (SSO/Okta/LDAP), and self-hosted Kubernetes/OpenShift or cloud workspaces.

How accurate is the conversion, and why use deterministic parsers over raw LLMs?

Deterministic parsers convert 90%+ of typical legacy code out of the box with repeatable, identical output every run—which audit and model-risk teams require. SAS2PY AI is applied only to ambiguous macros or undocumented blocks the parser flags, and every AI change must pass row-level parity validation before it is accepted.

Compiler-Grade Migration · Bank Audit Approved

Deterministic parsers where it must be exact. An AI harness where it needs a fix.

SAS2PY rewrites SAS into native Databricks, Snowflake, BigQuery, or Python. Source-specific parsers do the heavy lifting, a bounded AI harness resolves complex exceptions from the mismatch log, and row-level Data Matching proves 100% parity.

Repeatable parser output Bounded AI exception harness Audit-ready parity evidence

Download SAS2PY Desktop (Free) Book a Platform Demo →

Instant download · No email required · Run analysis locally on your machine.

Enterprise customers in production

6 G-SIBs

Global systemically important banks

90%+

Converted by deterministic parsers

100%

Row-level parity verified before cutover

Why migrations stall

Why do legacy 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.

The renewal clock

License renewals arrive before the migration plan is ready, so the platform you want to leave gets another multi-year contract.

Parsers convert most of the code, so the plan is ready before the renewal is.

The hand rewrite

Consultants rewrite thousands of programs 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. SAS2PY AI handles what they can't.

No proof it matches

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

Try SAS2PY Desktop on your machine today, or see the Enterprise Platform live.

Whether you want to analyze files on your own laptop in two minutes or walk through our full multi-user enterprise platform for a regulated estate, both run on the same deterministic parser engine.

● Self-Service · No Email Gate

SAS2PY Desktop

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.

L0
Basic Analysis FREE · NO EMAIL GATE Instant download. Point SAS2PY Desktop at your local SAS folders to get file inventory, line counts, and initial sizing—100% offline, nothing uploaded.
GO
On-Demand Code Conversion LICENSE PURCHASE Purchase a conversion license to run the deterministic parsers, resolve edge cases, and output native Databricks, Snowflake, BigQuery, or PySpark code.

Download SAS2PY Desktop (Free) Runs locally on your machine · Zero source code uploaded

■ Full Enterprise Suite · Cloud or Air-Gapped

SAS2PY Enterprise Platform

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.

01
Enterprise Web UI & Team Governance Collaborative workspaces for engineering and risk teams, with SSO (Okta, SAML, LDAP), role-based access control, and named-engineer approval gates.
02
Automated Row-Level Parity (Data Matching) Partitioned row-by-row and aggregate validation comparing legacy outputs to target tables, producing signed audit evidence packs for model-risk sign-off.
03
Deploy in Your VPC, Air-Gapped, or in Our Cloud One-command self-hosted install on Docker, Kubernetes, or OpenShift (fully disconnected capable), or zero-setup access in our hosted cloud portal.

Book a 30-Minute Platform Demo → Live walkthrough on a workload you run · No slide decks

How the Engine Works

Parsers for determinism. AI for edge cases. Proof on every row.

Every conversion runs the same four-step loop: parsers convert 90%+ deterministically, Data Matching validates row by row, SAS2PY AI fixes what differs, and the result is checked again.

Convert

Source-specific parsers rewrite 90%+ of the code deterministically.

Validate

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

03AI

Fix

SAS2PY AI reads the exception report and logs, and proposes a fix for the blocks that differ.

04PROOF

Re-check

Validated again. Accepted only when every row matches, or routed to an engineer.

MISMATCH · exception report

column total_paid
expected 18,442.70
actual 18,442.6999

PROPOSED FIX · SAS2PY 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

Explore the Bounded AI Harness & MCP Servers (Cursor, Copilot, Claude & Databricks) →

Audit-Ready Validation

Parity evidence that risk and audit teams actually sign off on.

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.

✓ Row-level comparison: Every row matched by configurable primary and composite key columns.

✓ Aggregate checks: Row counts, sums, nulls, min/max, and distinct values compared automatically.

✓ Pinpoint exception trail: Lists exact mismatched rows, columns, and delta values for rapid fixing.

✓ Regulator-ready deliverable: Exportable validation report kept as formal cutover sign-off evidence.

SAS2PY Data Matching validation report showing row-level parity comparison

SAS2PY Enterprise Platform · Data Matching row-level parity report

One migration engine across SAS.

Click any source and target below to preview how SAS2PY parses, converts, and validates the workload.

Source technologies (click to select)

SAS

SAS2PYDone

inclaims_summary.sasoutclaims_summary.py

Parse1,284 lines
ConvertAI assistPySpark
Validate48,210 rows

48,210 rows matched · 0 exceptions

SAS→Databricks

Target platforms (click to select)

Databricks Snowflake PySpark Polars AWS Glue BigQuery Microsoft Fabric Iceberg

Also emitted: Python, dbt, SQLMesh & Informatica IDMC

Selected route: SAS → Databricks

See SAS → Databricks live →

Alongside Platform Migration Tools

Built to complement Lakebridge, SnowConvert, and BigQuery Migration

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

Trusted by 28 enterprise customers, including 6 G-SIB banks.

Deployed across regulated banking, insurance, healthcare, and life sciences estates where row-level audit sign-off is mandatory.

What they moved off

Where it runs now

Databricks
PySpark
Snowflake
dbt
Google Cloud
Python
Informatica IDMC

Most enterprise migrations target Databricks and PySpark.

Banking, insurance & financial services

Includes 6 Global Systemically Important Banks (G-SIBs) where model-risk and audit teams require row-level parity evidence.

Healthcare, life sciences & public sector

Clinical, biopharma, and public-sector analytics pipelines migrated with full lineage and zero data loss.

3 + 50

Global enterprises & subscription teams

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

Where does SAS2PY run?

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.

SaaS portal

app.sas2py.com, nothing to install, migrate from your browser. Request access →

Self-hosted & air-gapped

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.

Enterprise security included

SSO (LDAP, Okta, SAML), role-based access, and full audit logs come standard.

See deployment options and install steps →

FAQ

Common questions from migration teams

How does the free SAS2PY Desktop download work?

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.

When should we use SAS2PY Desktop vs. the Enterprise Platform?

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.

Why use deterministic parsers instead of raw LLMs?

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.

How do you prove outputs match?

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.

Does our source code ever leave our network?

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.

What sources and targets do you support?

Sources: SAS. Targets: Databricks, Snowflake, BigQuery, Microsoft Fabric, AWS Glue, PySpark, Polars, Iceberg, dbt, Python, SQLMesh, and Informatica IDMC.