Oracle PL/SQL to Snowflake

Architecture

Oracle PL/SQL in. Snowflake out.

Deterministic parsers read the estate and emit native Snowflake code — not PL/SQL wrapped in a compatibility layer.

Oracle PL/SQL → MigryX parser → SQL + Snowpark + Tasks

Oracle PL/SQL

PackagesProcs + funcs

Cursor loopsRow-by-row

CONNECT BYHierarchies

BULK COLLECT%ROWTYPE

MigryX Parser

Deterministic parseAI where it helps

Row-level parityBefore cutover

SQL emitSet-based procedures

Snowpark emitWhere SQL is not enough

Snowflake

Snowflake SQLDDL from schemas

SnowparkPython DataFrames

TasksReplaces scheduler

StreamsChange data

Git + cloneDev -> prod

RBAC + tagsColumn 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.

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