diff --git a/manimlib/mobject/mobject.py b/manimlib/mobject/mobject.py
index 14ca6db2..2b72c084 100644
--- a/manimlib/mobject/mobject.py
+++ b/manimlib/mobject/mobject.py
@@ -66,7 +66,12 @@ class Mobject(object):
     # Must match in attributes of vert shader
     shader_dtype: Sequence[Tuple[str, type, Tuple[int]]] = [
         ('point', np.float32, (3,)),
+        ('rgba', np.float32, (4,)),
     ]
+    data_dtype: np.dtype = np.dtype([
+        ('points', '<f4', (3,)),
+        ('rgbas', '<f4', (4,)),
+    ])
     aligned_data_keys = ['points']
 
     def __init__(
@@ -106,10 +111,7 @@ class Mobject(object):
         self.bounding_box: Vect3Array = np.zeros((3, 3))
 
         self.init_data()
-        self._data_defaults = {
-            key: np.zeros((1, self.data[key].shape[1]))
-            for key in self.data
-        }
+        self._data_defaults = np.ones(1, dtype=self.data.dtype)
         self.init_uniforms()
         self.init_updaters()
         self.init_event_listners()
@@ -131,11 +133,8 @@ class Mobject(object):
         assert(isinstance(other, int))
         return self.replicate(other)
 
-    def init_data(self):
-        self.data: dict[str, np.ndarray] = {
-            "points": np.zeros((0, 3)),
-            "rgbas": np.zeros((0, 4)),
-        }
+    def init_data(self, length: int = 0):
+        self.data = np.zeros(length, dtype=self.data_dtype)
 
     def init_uniforms(self):
         self.uniforms: dict[str, float | np.ndarray] = {
@@ -152,9 +151,9 @@ class Mobject(object):
         # Typically implemented in subclass, unlpess purposefully left blank
         pass
 
-    def set_data(self, data: dict):
-        for key in data:
-            self.data[key] = data[key].copy()
+    def set_data(self, data: np.ndarray):
+        assert(data.dtype == self.data.dtype)
+        self.data = data
         return self
 
     def set_uniforms(self, uniforms: dict):
@@ -177,15 +176,12 @@ class Mobject(object):
         resize_func: Callable[[np.ndarray, int], np.ndarray] = resize_array
     ):
         if new_length == 0:
-            for key in self.data:
-                if len(self.data[key]) > 0:
-                    self._data_defaults[key][:1] = self.data[key][:1]
+            if len(self.data) > 0:
+                self._data_defaults[:1] = self.data[:1]
         elif self.get_num_points() == 0:
-            for key in self.data:
-                self.data[key] = self._data_defaults[key].copy()
+            self.data = self._data_defaults.copy()
 
-        for key in self.data:
-            self.data[key] = resize_func(self.data[key], new_length)
+        self.data = resize_func(self.data, new_length)
         self.refresh_bounding_box()
         return self
 
@@ -203,8 +199,7 @@ class Mobject(object):
 
     def reverse_points(self):
         for mob in self.get_family():
-            for key in mob.data:
-                mob.data[key] = mob.data[key][::-1]
+            mob.data = mob.data[::-1]
         return self
 
     def apply_points_function(
@@ -584,10 +579,7 @@ class Mobject(object):
         # The line above is only a shallow copy, so the internal
         # data which are numpyu arrays or other mobjects still
         # need to be further copied.
-        result.data = {
-            key: np.array(value)
-            for key, value in self.data.items()
-        }
+        result.data = self.data.copy()
         result.uniforms = {
             key: np.array(value)
             for key, value in self.uniforms.items()
@@ -678,15 +670,22 @@ class Mobject(object):
         if len(fam1) != len(fam2):
             return False
         for m1, m2 in zip(fam1, fam2):
-            for d1, d2 in [(m1.data, m2.data), (m1.uniforms, m2.uniforms)]:
-                if set(d1).difference(d2):
+            if m1.get_num_points() != m2.get_num_points():
+                return False
+            if not m1.data.dtype == m2.data.dtype:
+                return False
+            for key in m1.data.dtype.names:
+                if not np.isclose(m1.data[key], m2.data[key]).all():
+                    return False
+            if set(m1.uniforms).difference(m2.uniforms):
+                return False
+            for key in m1.uniforms:
+                value1 = m1.uniforms[key]
+                value2 = m2.uniforms[key]
+                if isinstance(value1, np.ndarray) and isinstance(value2, np.ndarray) and not value1.size == value2.size:
+                    return False
+                if not np.isclose(value1, value2).all():
                     return False
-                for key in d1:
-                    if isinstance(d1[key], np.ndarray) and isinstance(d2[key], np.ndarray):
-                        if not d1[key].size == d2[key].size:
-                            return False
-                    if not np.isclose(d1[key], d2[key]).all():
-                        return False
         return True
 
     def has_same_shape_as(self, mobject: Mobject) -> bool:
@@ -1604,19 +1603,7 @@ class Mobject(object):
             # In case any data arrays get resized when aligned to shader data
             mob1.refresh_shader_data()
             mob2.refresh_shader_data()
-
             mob1.align_points(mob2)
-            for key in mob1.data.keys() & mob2.data.keys():
-                if key == "points":
-                    # Separate out how points are treated so that subclasses
-                    # can handle that case differently if they choose
-                    continue
-                arr1 = mob1.data[key]
-                arr2 = mob2.data[key]
-                if len(arr2) > len(arr1):
-                    mob1.data[key] = resize_preserving_order(arr1, len(arr2))
-                elif len(arr1) > len(arr2):
-                    mob2.data[key] = resize_preserving_order(arr2, len(arr1))
 
     def align_points(self, mobject: Mobject):
         max_len = max(self.get_num_points(), mobject.get_num_points())
@@ -1686,13 +1673,11 @@ class Mobject(object):
         alpha: float,
         path_func: Callable[[np.ndarray, np.ndarray, float], np.ndarray] = straight_path
     ):
-        for key in self.data:
+        for key in self.data.dtype.names:
             if key in self.locked_data_keys:
                 continue
             if len(self.data[key]) == 0:
                 continue
-            if key not in mobject1.data or key not in mobject2.data:
-                continue
 
             func = path_func if key == "points" else interpolate
 
@@ -1739,11 +1724,11 @@ class Mobject(object):
 
     def lock_matching_data(self, mobject1: Mobject, mobject2: Mobject):
         for sm, sm1, sm2 in zip(self.get_family(), mobject1.get_family(), mobject2.get_family()):
-            keys = sm.data.keys() & sm1.data.keys() & sm2.data.keys()
-            sm.lock_data(list(filter(
-                lambda key: arrays_match(sm1.data[key], sm2.data[key]),
-                keys,
-            )))
+            if not (sm.data.dtype == sm1.data.dtype == sm2.data.dtype):
+                sm.lock_data([
+                    key for key in sm.data.dtype.names
+                    if arrays_match(sm1.data[key], sm2.data[key])
+                ])
         return self
 
     def unlock_data(self):
diff --git a/manimlib/mobject/types/dot_cloud.py b/manimlib/mobject/types/dot_cloud.py
index 025ece0e..11be87a0 100644
--- a/manimlib/mobject/types/dot_cloud.py
+++ b/manimlib/mobject/types/dot_cloud.py
@@ -29,7 +29,11 @@ class DotCloud(PMobject):
         ('radius', np.float32, (1,)),
         ('color', np.float32, (4,)),
     ]
-
+    data_dtype: np.dtype = np.dtype([
+        ('points', np.float32, (3,)),
+        ('radii', np.float32, (1,)),
+        ('rgbas', np.float32, (4,)),
+    ])
     def __init__(
         self,
         points: Vect3Array = NULL_POINTS,
@@ -55,7 +59,6 @@ class DotCloud(PMobject):
 
     def init_data(self) -> None:
         super().init_data()
-        self.data["radii"] = np.zeros((1, 1))
         self.set_radius(self.radius)
 
     def init_uniforms(self) -> None:
diff --git a/manimlib/mobject/types/image_mobject.py b/manimlib/mobject/types/image_mobject.py
index 7b9489c5..12b910f1 100644
--- a/manimlib/mobject/types/image_mobject.py
+++ b/manimlib/mobject/types/image_mobject.py
@@ -24,6 +24,11 @@ class ImageMobject(Mobject):
         ('im_coords', np.float32, (2,)),
         ('opacity', np.float32, (1,)),
     ]
+    data_dtype: Sequence[Tuple[str, type, Tuple[int]]] = [
+        ('points', np.float32, (3,)),
+        ('im_coords', np.float32, (2,)),
+        ('opacity', np.float32, (1,)),
+    ]
 
     def __init__(        
         self,
@@ -37,11 +42,10 @@ class ImageMobject(Mobject):
         super().__init__(texture_paths={"Texture": self.image_path}, **kwargs)
 
     def init_data(self) -> None:
-        self.data = {
-            "points": np.array([UL, DL, UR, DR]),
-            "im_coords": np.array([(0, 0), (0, 1), (1, 0), (1, 1)]),
-            "opacity": self.opacity * np.ones((4, 1)),
-        }
+        super().init_data(length=4)
+        self.data["points"][:] = [UL, DL, UR, DR]
+        self.data["im_coords"][:] = [(0, 0), (0, 1), (1, 0), (1, 1)]
+        self.data["opacity"][:] = self.opacity
 
     def init_points(self) -> None:
         size = self.image.size
@@ -49,9 +53,10 @@ class ImageMobject(Mobject):
         self.set_height(self.height)
 
     def set_opacity(self, opacity: float, recurse: bool = True):
-        op_arr = np.array([[o] for o in listify(opacity)])
-        for mob in self.get_family(recurse):
-            mob.data["opacity"][:] = resize_with_interpolation(op_arr, mob.get_num_points())
+        self.data["opacity"][:, 0] = resize_with_interpolation(
+            np.array(listify(opacity)),
+            self.get_num_points()
+        )
         return self
 
     def set_color(self, color, opacity=None, recurse=None):
diff --git a/manimlib/mobject/types/point_cloud_mobject.py b/manimlib/mobject/types/point_cloud_mobject.py
index 40b3896d..4bb9cb5d 100644
--- a/manimlib/mobject/types/point_cloud_mobject.py
+++ b/manimlib/mobject/types/point_cloud_mobject.py
@@ -67,9 +67,7 @@ class PMobject(Mobject):
 
     def filter_out(self, condition: Callable[[np.ndarray], bool]):
         for mob in self.family_members_with_points():
-            to_keep = ~np.apply_along_axis(condition, 1, mob.get_points())
-            for key in mob.data:
-                mob.data[key] = mob.data[key][to_keep]
+            mob.data = mob.data[~np.apply_along_axis(condition, 1, mob.get_points())]
         return self
 
     def sort_points(self, function: Callable[[Vect3], None] = lambda p: p[0]):
@@ -80,16 +78,13 @@ class PMobject(Mobject):
             indices = np.argsort(
                 np.apply_along_axis(function, 1, mob.get_points())
             )
-            for key in mob.data:
-                mob.data[key][:] = mob.data[key][indices]
+            mob.data[:] = mob.data[indices]
         return self
 
     def ingest_submobjects(self):
-        for key in self.data:
-            self.data[key] = np.vstack([
-                sm.data[key]
-                for sm in self.get_family()
-            ])
+        self.data = np.vstack([
+            sm.data for sm in self.get_family()
+        ])
         return self
 
     def point_from_proportion(self, alpha: float) -> np.ndarray:
@@ -99,8 +94,7 @@ class PMobject(Mobject):
     def pointwise_become_partial(self, pmobject: PMobject, a: float, b: float):
         lower_index = int(a * pmobject.get_num_points())
         upper_index = int(b * pmobject.get_num_points())
-        for key in self.data:
-            self.data[key] = pmobject.data[key][lower_index:upper_index].copy()
+        self.data = pmobject.data[lower_index:upper_index].copy()
         return self
 
 
diff --git a/manimlib/mobject/types/vectorized_mobject.py b/manimlib/mobject/types/vectorized_mobject.py
index 33ddc356..9cdcfdcd 100644
--- a/manimlib/mobject/types/vectorized_mobject.py
+++ b/manimlib/mobject/types/vectorized_mobject.py
@@ -66,9 +66,16 @@ class VMobject(Mobject):
         ("stroke_width", np.float32, (1,)),
         ("color", np.float32, (4,)),
     ]
+    data_dtype: Sequence[Tuple[str, type, Tuple[int]]] = [
+        ("points", np.float32, (3,)),
+        ('fill_rgba', np.float32, (4,)),
+        ("stroke_rgba", np.float32, (4,)),
+        ("joint_angle", np.float32, (1,)),
+        ("stroke_width", np.float32, (1,)),
+        ('orientation', np.float32, (1,)),
+    ]
     fill_render_primitive: int = moderngl.TRIANGLES
     stroke_render_primitive: int = moderngl.TRIANGLE_STRIP
-    aligned_data_keys = ["points", "orientation", "joint_angle"]
 
     pre_function_handle_to_anchor_scale_factor: float = 0.01
     make_smooth_after_applying_functions: bool = False
@@ -117,17 +124,6 @@ class VMobject(Mobject):
     def get_group_class(self):
         return VGroup
 
-    def init_data(self):
-        super().init_data()
-        self.data.pop("rgbas")
-        self.data.update({
-            "fill_rgba": np.zeros((1, 4)),
-            "stroke_rgba": np.zeros((1, 4)),
-            "stroke_width": np.zeros((1, 1)),
-            "orientation": np.ones((1, 1)),
-            "joint_angle": np.zeros((0, 1)),
-        })
-
     def init_uniforms(self):
         super().init_uniforms()
         self.uniforms["anti_alias_width"] = self.anti_alias_width
@@ -371,23 +367,28 @@ class VMobject(Mobject):
         If there are multiple colors (for gradient)
         this returns the first one
         """
-        return self.get_fill_colors()[0]
+        data = self.data if self.has_points() else self._data_defaults
+        return rgb_to_hex(data["fill_rgba"][0, :3])
 
     def get_fill_opacity(self) -> float:
         """
         If there are multiple opacities, this returns the
         first
         """
-        return self.get_fill_opacities()[0]
+        data = self.data if self.has_points() else self._data_defaults
+        return data["fill_rgba"][0, 3]
 
     def get_stroke_color(self) -> str:
-        return self.get_stroke_colors()[0]
+        data = self.data if self.has_points() else self._data_defaults
+        return rgb_to_hex(data["stroke_rgba"][0, :3])
 
     def get_stroke_width(self) -> float | np.ndarray:
-        return self.get_stroke_widths()[0]
+        data = self.data if self.has_points() else self._data_defaults
+        return data["stroke_width"][0, 0]
 
     def get_stroke_opacity(self) -> float:
-        return self.get_stroke_opacities()[0]
+        data = self.data if self.has_points() else self._data_defaults
+        return data["stroke_rgba"][0, 3]
 
     def get_color(self) -> str:
         if self.has_fill():
@@ -1134,7 +1135,7 @@ class VMobject(Mobject):
         return self
 
     @triggers_refreshed_triangulation
-    def set_data(self, data: dict):
+    def set_data(self, data: np.ndarray):
         super().set_data(data)
         return self