diff --git a/src/matchbox/common/transform.py b/src/matchbox/common/transform.py
index 26d9a732..fc32a7ca 100644
--- a/src/matchbox/common/transform.py
+++ b/src/matchbox/common/transform.py
@@ -23,7 +23,7 @@
 
 def to_clusters(
     results: pa.Table,
-    dtype: pa.DataType = pa.large_binary,
+    dtype: pa.DataType = pa.binary,
     hash_func: Callable[[*tuple[T, ...]], T] = hash_values,
 ) -> pa.Table:
     """
@@ -216,7 +216,7 @@ def get_components(self) -> list[set[T]]:
 
 def component_to_hierarchy(
     table: pa.Table,
-    dtype: pa.DataType = pa.large_binary,
+    dtype: pa.DataType = pa.binary,
     hash_func: Callable[[*tuple[T, ...]], T] = hash_values,
 ) -> pa.Table:
     """
@@ -293,7 +293,7 @@ def to_hierarchical_clusters(
     probabilities: pa.Table,
     proc_func: Callable[[pa.Table, pa.DataType], pa.Table] = component_to_hierarchy,
     hash_func: Callable[[*tuple[T, ...]], T] = hash_values,
-    dtype: pa.DataType = pa.large_binary,
+    dtype: pa.DataType = pa.binary,
     timeout: int = 300,
 ) -> pa.Table:
     """
diff --git a/src/matchbox/server/postgresql/benchmark/generate_tables.py b/src/matchbox/server/postgresql/benchmark/generate_tables.py
index 5dcf237f..56c86faa 100644
--- a/src/matchbox/server/postgresql/benchmark/generate_tables.py
+++ b/src/matchbox/server/postgresql/benchmark/generate_tables.py
@@ -73,9 +73,7 @@ def generate_resolutions() -> pa.Table:
     return pa.table(
         {
             "resolution_id": pa.array(resolutions_resolution_id, type=pa.uint64()),
-            "resolution_hash": pa.array(
-                resolutions_resolution_hash, type=pa.large_binary()
-            ),
+            "resolution_hash": pa.array(resolutions_resolution_hash, type=pa.binary()),
             "type": pa.array(resolutions_type, type=pa.string()),
             "name": pa.array(resolutions_name, type=pa.string()),
             "description": pa.array(resolutions_name, type=pa.string()),
@@ -126,7 +124,7 @@ def create_source_pk(li: list[int]) -> list[list[str]]:
     return pa.table(
         {
             "cluster_id": pa.array(source, type=pa.uint64()),
-            "cluster_hash": pa.array(_hash_list_int(source), type=pa.large_binary()),
+            "cluster_hash": pa.array(_hash_list_int(source), type=pa.binary()),
             "dataset": pa.array([1] * len(source), type=pa.uint64()),
             "source_pk": pa.array(create_source_pk(source), type=pa.list_(pa.string())),
         }
@@ -172,7 +170,7 @@ def generate_result_tables(
         {
             "id": all_probs,
             "hash": pa.array(
-                [hash_data(p) for p in all_probs.to_pylist()], type=pa.large_binary()
+                [hash_data(p) for p in all_probs.to_pylist()], type=pa.binary()
             ),
         }
     )
@@ -194,7 +192,7 @@ def generate_result_tables(
     hierarchy = to_hierarchical_clusters(
         probabilities=probs_with_ccs,
         hash_func=hash_values,
-        dtype=pa.large_binary,
+        dtype=pa.binary,
     )
 
     # Shape into tables
diff --git a/src/matchbox/server/postgresql/utils/insert.py b/src/matchbox/server/postgresql/utils/insert.py
index 6bb99923..9e9273e9 100644
--- a/src/matchbox/server/postgresql/utils/insert.py
+++ b/src/matchbox/server/postgresql/utils/insert.py
@@ -49,7 +49,7 @@ def __init__(self, start: int, lookup: pa.Table = None):
             self.lookup = pa.Table.from_arrays(
                 [
                     pa.array([], type=pa.uint64()),
-                    pa.array([], type=pa.large_binary()),
+                    pa.array([], type=pa.binary()),
                     pa.array([], type=pa.bool_()),
                 ],
                 names=["id", "hash", "new"],
@@ -405,7 +405,7 @@ def _results_to_insert_tables(
         engine=engine,
         return_type="arrow",
     )
-    lookup = lookup.cast(pa.schema([("hash", pa.large_binary()), ("id", pa.uint64())]))
+    lookup = lookup.cast(pa.schema([("hash", pa.binary()), ("id", pa.uint64())]))
 
     hm = HashIDMap(start=Clusters.next_id(), lookup=lookup)
 
@@ -424,7 +424,7 @@ def _results_to_insert_tables(
     hierarchy = to_hierarchical_clusters(
         probabilities=probs_with_ccs,
         hash_func=hash_values,
-        dtype=pa.large_binary,
+        dtype=pa.binary,
     )
 
     # Create Probabilities Arrow table to insert, containing all generated probabilities