diff --git a/hamilton/plugins/jupyter_magic.py b/hamilton/plugins/jupyter_magic.py
index ed0fab93f..2e6f0ffc2 100644
--- a/hamilton/plugins/jupyter_magic.py
+++ b/hamilton/plugins/jupyter_magic.py
@@ -15,6 +15,7 @@
 """
 
 import json
+import os
 import sys
 from pathlib import Path
 from types import ModuleType
@@ -154,6 +155,12 @@ def rebuild_drivers(shell, module_name: str, module_object: ModuleType, verbosit
     return drivers_rebuilt
 
 
+def determine_notebook_type() -> str:
+    if "DATABRICKS_RUNTIME_VERSION" in os.environ:
+        return "databricks"
+    return "default"
+
+
 @magics_class
 class HamiltonMagics(Magics):
     """Magics to facilitate Hamilton development in Jupyter notebooks"""
@@ -189,6 +196,9 @@ def cell_to_module(self, line, cell):
             print("  -d, --display: Flag to visualize dataflow.")
             print("  -v, --verbosity: of standard output. 0 to hide. 1 is normal, default.")
             return  # Exit early
+        if not hasattr(self, "notebook_env"):
+            # doing this so I don't have to deal with the constructor
+            self.notebook_env = determine_notebook_type()
         # shell.ex() is equivalent to exec(), but in the user namespace (i.e. notebook context).
         # This allows imports and functions defined in the magic cell %%cell_to_module to be
         # directly accessed from the notebook
@@ -228,9 +238,17 @@ def cell_to_module(self, line, cell):
         dr = driver.Builder().with_modules(module_object).with_config(display_config).build()
         self.shell.push({f"{module_name}_dr": dr})
         if args.display:
+            graphviz_obj = dr.display_all_functions()
+            if self.notebook_env == "databricks" and graphviz_obj:
+                try:
+                    display(HTML(graphviz_obj.pipe(format="svg").decode("utf-8")))
+                except Exception as e:
+                    print(f"Failed to display graph: {e}")
+                    print("Please ensure graphviz is installed via `%sh apt install -y graphviz`")
+                return
             # return will go to the output cell. To display multiple elements, use
             # IPython.display.display(print("hello"), dr.display_all_functions(), ...)
-            return dr.display_all_functions()
+            return graphviz_obj
 
     @line_magic
     def insert_module(self, line):