diff --git a/codechecker_common/compatibility/multiprocessing.py b/codechecker_common/compatibility/multiprocessing.py
index 754294014d..218da713e9 100644
--- a/codechecker_common/compatibility/multiprocessing.py
+++ b/codechecker_common/compatibility/multiprocessing.py
@@ -14,13 +14,62 @@
 # pylint: disable=unused-import
 if sys.platform in ["darwin", "win32"]:
     from multiprocess import \
-        Pipe, Pool, Process, \
+        Pipe, Pool as _Pool, Process, \
         Queue, \
         Value, \
         cpu_count
     from multiprocess.managers import SyncManager
+
+    class Pool:
+        """
+        Compatibility wrapper for multiprocess.Pool that accepts max_workers
+        parameter (like concurrent.futures.ProcessPoolExecutor) for consistency
+        across platforms.
+        """
+        def __init__(self, max_workers=None, processes=None, initializer=None,
+                     initargs=(), **kwargs):
+            if processes is None and max_workers is not None:
+                processes = max_workers
+            kwargs.pop('max_workers', None)
+            self._pool = _Pool(processes=processes, initializer=initializer,
+                               initargs=initargs, **kwargs)
+
+        def __enter__(self):
+            return self
+
+        def __exit__(self, exc_type, exc_val, exc_tb):
+            self._pool.close()
+            self._pool.join()
+            return False
+
+        def map(self, func, *iterables, **kwargs):
+            """
+            Map function over iterables using the pool.
+
+            This method mimics ProcessPoolExecutor.map() behavior which accepts
+            multiple iterables. When multiple iterables are provided, they are
+            zipped together and starmap is used to unpack the tuples.
+
+            Note: 'timeout' parameter is not supported by multiprocess.Pool
+            and will be silently ignored if provided.
+            """
+            pool_kwargs = {k: v for k, v in kwargs.items() if k != 'timeout'}
+
+            if len(iterables) == 1:
+                return self._pool.map(func, iterables[0], **pool_kwargs)
+            else:
+                zipped = zip(*iterables)
+                return self._pool.starmap(func, zipped, **pool_kwargs)
+
+        def close(self):
+            """Close the pool, preventing new tasks from being submitted."""
+            self._pool.close()
+
+        def join(self):
+            """Wait for worker processes to exit."""
+            self._pool.join()
 else:
-    from concurrent.futures import ProcessPoolExecutor as Pool
+    from concurrent.futures import ProcessPoolExecutor as Pool  # type: ignore
     from multiprocessing import \
         Pipe, \
         Process, \