Convert Oracle PL/SQL to Snowflake SQL and Snowpark

Stored procedures, packages, functions, and triggers parsed structurally. Converted to Snowflake Scripting and Snowpark Python. 2,000+ built-in function mappings, full lineage, validated parity.

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Why Snowflake

PL/SQL procedural logic maps naturally to Snowflake

PL/SQL procedures become Snowflake Scripting

Snowflake Scripting supports variables, loops, cursors, and exception handling -- the closest procedural match to PL/SQL of any cloud platform. MigryX maps Oracle's procedural blocks directly to Snowflake's DECLARE / BEGIN / EXCEPTION structure with minimal structural change.

CONNECT BY becomes recursive CTE natively

Oracle's proprietary START WITH...CONNECT BY PRIOR syntax has a clean equivalent in Snowflake's recursive CTE support. MigryX preserves hierarchical semantics including LEVEL pseudo-column, SYS_CONNECT_BY_PATH, and cycle detection.

Oracle functions have direct Snowflake equivalents

NVL, DECODE, TO_DATE, TO_CHAR, SYSDATE -- most Oracle built-in functions have direct or near-direct Snowflake counterparts. MigryX's 2,000+ function mapping library handles the edge cases: DECODE to IFF/CASE, ROWNUM to ROW_NUMBER(), database links to external tables.

Parser output

Oracle DECODE and NVL to Snowflake IFF and COALESCE

A PL/SQL query using DECODE, NVL, and Oracle-specific date functions -- converted to Snowflake SQL with IFF, COALESCE, and native date handling. Clean, idiomatic Snowflake output.

Oracle PL/SQL
-- Procedure: generate_account_summary
CREATE OR REPLACE PROCEDURE generate_summary AS
  v_run_date DATE := SYSDATE;
BEGIN
  INSERT INTO account_summary
  SELECT
    a.account_id,
    NVL(a.account_name, 'Unnamed'),
    DECODE(a.account_type,
      'SAV', 'Savings',
      'CHK', 'Checking',
      'LON', 'Loan',
      'Other') AS type_label,
    NVL2(a.close_date,
      'Closed', 'Active') AS status,
    TO_CHAR(a.open_date, 'YYYY-MM-DD'),
    v_run_date
  FROM accounts a
  WHERE a.open_date >=
    ADD_MONTHS(SYSDATE, -12)
    AND ROWNUM <= 100000;

  COMMIT;
EXCEPTION
  WHEN OTHERS THEN
    DBMS_OUTPUT.PUT_LINE(SQLERRM);
    ROLLBACK;
END;
MigryX
converts
Snowflake SQL
-- PL/SQL procedure → Snowflake Scripting
CREATE OR REPLACE PROCEDURE generate_summary()
RETURNS STRING
LANGUAGE SQL
AS
$$
DECLARE
  v_run_date DATE := CURRENT_DATE();
BEGIN
  INSERT INTO account_summary
  SELECT
    a.account_id,
    COALESCE(a.account_name, 'Unnamed'),
    IFF(a.account_type = 'SAV', 'Savings',
    IFF(a.account_type = 'CHK', 'Checking',
    IFF(a.account_type = 'LON', 'Loan',
        'Other'))) AS type_label,
    IFF(a.close_date IS NOT NULL,
      'Closed', 'Active') AS status,
    TO_CHAR(a.open_date, 'YYYY-MM-DD'),
    :v_run_date
  FROM accounts a
  WHERE a.open_date >=
    DATEADD('MONTH', -12, CURRENT_DATE())
  LIMIT 100000;

  RETURN 'Success';
EXCEPTION
  WHEN OTHER THEN
    ROLLBACK;
    RETURN SQLERRM;
END;
$$;

DECODE mapped to nested IFF. NVL mapped to COALESCE. NVL2 mapped to IFF with IS NOT NULL. SYSDATE mapped to CURRENT_DATE(). ADD_MONTHS mapped to DATEADD. ROWNUM mapped to LIMIT. DBMS_OUTPUT mapped to RETURN. Exception handling preserved.

Coverage

Oracle PL/SQL to Snowflake — artifact mapping

Oracle PL/SQL Component Snowflake Equivalent Notes
Stored ProcedureSnowflake Scripting procedureDECLARE/BEGIN/EXCEPTION structure preserved
Package (spec + body)Schema + stored proceduresPackage functions become individual procedures
FunctionSnowflake UDF / Snowpark UDFScalar and table functions supported
CONNECT BY hierarchical queryRecursive CTELEVEL, SYS_CONNECT_BY_PATH preserved
DECODEIFF() / CASE WHENMulti-branch DECODE expanded to nested IFF
NVL / NVL2COALESCE() / IFF()NVL2 mapped to IFF with null check
TriggerStream + TaskChange data capture via Snowflake Streams
SequenceSnowflake SEQUENCEDirect equivalent, syntax adjusted
Materialized ViewSnowflake Materialized ViewDirect equivalent with automatic refresh
DBMS_SCHEDULERSnowflake TaskCron scheduling with dependency trees
EXECUTE IMMEDIATEEXECUTE IMMEDIATEDirect equivalent in Snowflake Scripting
Cursor FOR loopSnowflake cursor / RESULTSETProcedural cursor iteration supported
Database LinkExternal Table / Data ShareCross-database access pattern mapped
SynonymView or aliasObject aliasing via views
Validation

Every conversion validated to row-level parity

Data Matching compares Oracle output against Snowflake output -- row by row, column by column. In the case study below, all stored procedure results were validated with full production backtesting against the original Oracle database.

See how Data Matching works →
6,200
PL/SQL objects modernized
2,000+
Function mappings
$11.2M
Savings over 3 years
500
Packages converted

Insurance Enterprise: Oracle PL/SQL to Snowflake in 20 Months

6,200 PL/SQL objects converted to Snowflake SQL and Snowpark. 500 packages decomposed into Snowflake stored procedures and UDFs. CONNECT BY hierarchical queries rewritten as recursive CTEs. DECODE/NVL/NVL2 patterns mapped to Snowflake-native IFF/COALESCE. Oracle license costs eliminated, compute elasticity gained on day one.

Read the full case study →

See it on your own Oracle PL/SQL code

Upload a PL/SQL package or stored procedure. Get parsed lineage, Snowflake SQL code, and a validation report.

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