Convert SAS programs to Snowflake SQL

How does SAS become Snowflake? SAS in. Snowflake out.

Deterministic parsers read the SAS estate and emit native Snowflake code, not SAS replayed through a warehouse connector.

SAS programs → SAS2PY parser → SQL + Snowpark + Tasks

SAS

Base SAS DATA step / macros

DI Studio Jobs + mappings

EG / EM Projects + flows

Viya / CAS CASL + actions

→

SAS2PY Parser

Deterministic parse AI where it helps

Row-level parity Before cutover

SQL emit Set-based procedures

Snowpark emit Where SQL is not enough

→

Snowflake

Snowflake SQL DDL from SAS schemas

Snowpark Python DataFrames

Tasks Replaces SAS Grid

Streams Change data

Git + clone Dev to prod

RBAC + tags Column security

MigryX AI handles the logic parsers cannot resolve alone, and every change it makes goes through the same parity checks. It runs on a model you approve, air-gapped if your estate requires it.

PROC SQL to Snowflake

A SAS PROC SQL join with a calculated segment, emitted as Snowflake SQL, not a cursor loop.

/* SAS PROC SQL */
proc sql;
  create table gold as
  select c.cust_id, t.amount,
    case when t.amount > 1000 then 'GOLD'
         else 'STD' end as segment
  from cust c, txn t
  where c.cust_id = t.cust_id;
quit;

-- PROC SQL → Snowflake
CREATE OR REPLACE TABLE gold AS
SELECT c.cust_id, t.amount,
  CASE WHEN t.amount > 1000 THEN 'GOLD'
       ELSE 'STD' END AS segment
FROM cust c
JOIN txn t ON c.cust_id = t.cust_id;

Implicit SAS join becomes an explicit JOIN. The CASE is already the target language.

How is the conversion proven? Every conversion validated to row-level parity

SAS output compared to Snowflake output: row by row, column by column. Differences flagged before sign-off.