diff --git a/fakesnow/fakes.py b/fakesnow/fakes.py
index 6566b35..cc165fd 100644
--- a/fakesnow/fakes.py
+++ b/fakesnow/fakes.py
@@ -195,6 +195,8 @@ def _execute(
             .transform(transforms.array_size)
             .transform(transforms.random)
             .transform(transforms.identifier)
+            .transform(transforms.array_agg_within_group)
+            .transform(transforms.array_agg_to_json)
             .transform(lambda e: transforms.show_schemas(e, self._conn.database))
             .transform(lambda e: transforms.show_objects_tables(e, self._conn.database))
             # TODO collapse into a single show_keys function
diff --git a/fakesnow/transforms.py b/fakesnow/transforms.py
index 418f3f1..4083651 100644
--- a/fakesnow/transforms.py
+++ b/fakesnow/transforms.py
@@ -22,6 +22,39 @@ def array_size(expression: exp.Expression) -> exp.Expression:
     return expression
 
 
+def array_agg_to_json(expression: exp.Expression) -> exp.Expression:
+    if isinstance(expression, exp.ArrayAgg):
+        return exp.Anonymous(this="TO_JSON", expressions=[expression])
+
+    return expression
+
+
+def array_agg_within_group(expression: exp.Expression) -> exp.Expression:
+    """Convert ARRAY_AGG(<expr>) WITHIN GROUP (<order-by-clause>) to ARRAY_AGG( <expr> <order-by-clause> )
+    Snowflake uses ARRAY_AGG(<expr>) WITHIN GROUP (ORDER BY <order-by-clause>)
+    to order the array, but DuckDB uses ARRAY_AGG( <expr> <order-by-clause> ).
+    See;
+        - https://docs.snowflake.com/en/sql-reference/functions/array_agg
+        - https://duckdb.org/docs/sql/aggregates.html#order-by-clause-in-aggregate-functions
+    Note; Snowflake has following restriction;
+            If you specify DISTINCT and WITHIN GROUP, both must refer to the same column.
+          Transformation does not handle this restriction.
+    """
+    if (
+        isinstance(expression, exp.WithinGroup)
+        and (agg := expression.find(exp.ArrayAgg))
+        and (order := expression.expression)
+    ):
+        return exp.ArrayAgg(
+            this=exp.Order(
+                this=agg.this,
+                expressions=order.expressions,
+            )
+        )
+
+    return expression
+
+
 # TODO: move this into a Dialect as a transpilation
 def create_database(expression: exp.Expression, db_path: Path | None = None) -> exp.Expression:
     """Transform create database to attach database.
diff --git a/tests/test_fakes.py b/tests/test_fakes.py
index 21cc2b9..0daa890 100644
--- a/tests/test_fakes.py
+++ b/tests/test_fakes.py
@@ -7,6 +7,7 @@
 import tempfile
 from collections.abc import Sequence
 from decimal import Decimal
+from typing import cast
 
 import pandas as pd
 import pytest
@@ -35,6 +36,46 @@ def test_array_size(cur: snowflake.connector.cursor.SnowflakeCursor):
     assert cur.fetchall() == [(None,)]
 
 
+def test_array_agg_to_json(dcur: snowflake.connector.cursor.DictCursor):
+    dcur.execute("create table table1 (id number, name varchar)")
+    values = [(1, "foo"), (2, "bar"), (1, "baz"), (2, "qux")]
+
+    dcur.executemany("insert into table1 values (%s, %s)", values)
+
+    dcur.execute("select array_agg(name) as names from table1")
+    assert dindent(dcur.fetchall()) == [{"NAMES": '[\n  "foo",\n  "bar",\n  "baz",\n  "qux"\n]'}]
+
+
+def test_array_agg_within_group(dcur: snowflake.connector.cursor.DictCursor):
+    dcur.execute("CREATE TABLE table1 (ID INT, amount INT)")
+
+    # two unique ids, for id 1 there are 3 amounts, for id 2 there are 2 amounts
+    values = [
+        (2, 40),
+        (1, 10),
+        (1, 30),
+        (2, 50),
+        (1, 20),
+    ]
+    dcur.executemany("INSERT INTO TABLE1 VALUES (%s, %s)", values)
+
+    dcur.execute("SELECT id, ARRAY_AGG(amount) WITHIN GROUP (ORDER BY amount DESC) amounts FROM table1 GROUP BY id")
+    rows = dcur.fetchall()
+
+    assert dindent(rows) == [
+        {"ID": 1, "AMOUNTS": "[\n  30,\n  20,\n  10\n]"},
+        {"ID": 2, "AMOUNTS": "[\n  50,\n  40\n]"},
+    ]
+
+    dcur.execute("SELECT id, ARRAY_AGG(amount) WITHIN GROUP (ORDER BY amount ASC) amounts FROM table1 GROUP BY id")
+    rows = dcur.fetchall()
+
+    assert dindent(rows) == [
+        {"ID": 1, "AMOUNTS": "[\n  10,\n  20,\n  30\n]"},
+        {"ID": 2, "AMOUNTS": "[\n  40,\n  50\n]"},
+    ]
+
+
 def test_binding_default_paramstyle(conn: snowflake.connector.SnowflakeConnection):
     assert snowflake.connector.paramstyle == "pyformat"
     with conn.cursor() as cur:
@@ -1373,13 +1414,26 @@ def test_write_pandas_dict_different_keys(conn: snowflake.connector.SnowflakeCon
 
 
 def indent(rows: Sequence[tuple] | Sequence[dict]) -> list[tuple]:
-    # indent duckdb json strings to match snowflake json strings
+    # indent duckdb json strings tuple values to match snowflake json strings
+    assert isinstance(rows[0], tuple)
     return [
         (*[json.dumps(json.loads(c), indent=2) if (isinstance(c, str) and c.startswith(("[", "{"))) else c for c in r],)
         for r in rows
     ]
 
 
+def dindent(rows: Sequence[tuple] | Sequence[dict]) -> list[dict]:
+    # indent duckdb json strings dict values to match snowflake json strings
+    assert isinstance(rows[0], dict)
+    return [
+        {
+            k: json.dumps(json.loads(v), indent=2) if (isinstance(v, str) and v.startswith(("[", "{"))) else v
+            for k, v in cast(dict, r).items()
+        }
+        for r in rows
+    ]
+
+
 def sort_keys(sdict: str, indent: int | None = 2) -> str:
     return json.dumps(
         json.loads(sdict, object_pairs_hook=lambda x: dict(sorted(x))),
diff --git a/tests/test_transforms.py b/tests/test_transforms.py
index cd06425..d0ea466 100644
--- a/tests/test_transforms.py
+++ b/tests/test_transforms.py
@@ -7,6 +7,7 @@
 from fakesnow.transforms import (
     SUCCESS_NOP,
     _get_to_number_args,
+    array_agg_within_group,
     array_size,
     create_database,
     describe_table,
@@ -51,6 +52,31 @@ def test_array_size() -> None:
     )
 
 
+def test_array_agg_within_group() -> None:
+    assert (
+        sqlglot.parse_one(
+            "SELECT someid, ARRAY_AGG(DISTINCT id) WITHIN GROUP (ORDER BY id) AS ids FROM example GROUP BY someid"
+        )
+        .transform(array_agg_within_group)
+        .sql(dialect="duckdb")
+        == "SELECT someid, ARRAY_AGG(DISTINCT id ORDER BY id NULLS FIRST) AS ids FROM example GROUP BY someid"
+    )
+
+    assert (
+        sqlglot.parse_one(
+            "SELECT someid, ARRAY_AGG(id) WITHIN GROUP (ORDER BY id DESC) AS ids FROM example WHERE someid IS NOT NULL GROUP BY someid"  # noqa: E501
+        )
+        .transform(array_agg_within_group)
+        .sql(dialect="duckdb")
+        == "SELECT someid, ARRAY_AGG(id ORDER BY id DESC) AS ids FROM example WHERE NOT someid IS NULL GROUP BY someid"
+    )
+
+    assert (
+        sqlglot.parse_one("SELECT ARRAY_AGG(id) FROM example").transform(array_agg_within_group).sql(dialect="duckdb")
+        == "SELECT ARRAY_AGG(id) FROM example"
+    )
+
+
 def test_create_database() -> None:
     e = sqlglot.parse_one("create database foobar").transform(create_database)
     assert e.sql() == "ATTACH DATABASE ':memory:' AS foobar"