diff --git a/python/deltalake/writer.py b/python/deltalake/writer.py
index e435dea10a..b5b26cf8f5 100644
--- a/python/deltalake/writer.py
+++ b/python/deltalake/writer.py
@@ -15,6 +15,7 @@
     List,
     Mapping,
     Optional,
+    Protocol,
     Tuple,
     Union,
     overload,
@@ -34,7 +35,7 @@
 import pyarrow as pa
 import pyarrow.dataset as ds
 import pyarrow.fs as pa_fs
-from pyarrow.lib import RecordBatchReader
+from pyarrow import RecordBatchReader
 
 from ._internal import DeltaDataChecker as _DeltaDataChecker
 from ._internal import batch_distinct
@@ -70,6 +71,17 @@
 DEFAULT_DATA_SKIPPING_NUM_INDEX_COLS = 32
 
 
+class ArrowStreamExportable(Protocol):
+    """Type hint for object exporting Arrow C Stream via Arrow PyCapsule Interface.
+
+    https://arrow.apache.org/docs/format/CDataInterface/PyCapsuleInterface.html
+    """
+
+    def __arrow_c_stream__(
+        self, requested_schema: Optional[object] = None
+    ) -> object: ...
+
+
 @dataclass
 class AddAction:
     path: str
@@ -90,6 +102,7 @@ def write_deltalake(
         pa.RecordBatch,
         Iterable[pa.RecordBatch],
         RecordBatchReader,
+        ArrowStreamExportable,
     ],
     *,
     schema: Optional[Union[pa.Schema, DeltaSchema]] = ...,
@@ -123,6 +136,7 @@ def write_deltalake(
         pa.RecordBatch,
         Iterable[pa.RecordBatch],
         RecordBatchReader,
+        ArrowStreamExportable,
     ],
     *,
     schema: Optional[Union[pa.Schema, DeltaSchema]] = ...,
@@ -150,6 +164,7 @@ def write_deltalake(
         pa.RecordBatch,
         Iterable[pa.RecordBatch],
         RecordBatchReader,
+        ArrowStreamExportable,
     ],
     *,
     schema: Optional[Union[pa.Schema, DeltaSchema]] = ...,
@@ -177,6 +192,7 @@ def write_deltalake(
         pa.RecordBatch,
         Iterable[pa.RecordBatch],
         RecordBatchReader,
+        ArrowStreamExportable,
     ],
     *,
     schema: Optional[Union[pa.Schema, DeltaSchema]] = None,
@@ -285,12 +301,26 @@ def write_deltalake(
             data = convert_pyarrow_table(
                 pa.Table.from_pandas(data), large_dtypes=large_dtypes
             )
+    elif hasattr(data, "__arrow_c_array__"):
+        data = convert_pyarrow_recordbatch(
+            pa.record_batch(data),  # type:ignore[attr-defined]
+            large_dtypes,
+        )
+    elif hasattr(data, "__arrow_c_stream__"):
+        if not hasattr(RecordBatchReader, "from_stream"):
+            raise ValueError(
+                "pyarrow 15 or later required to read stream via pycapsule interface"
+            )
+
+        data = convert_pyarrow_recordbatchreader(
+            RecordBatchReader.from_stream(data), large_dtypes
+        )
     elif isinstance(data, Iterable):
         if schema is None:
             raise ValueError("You must provide schema if data is Iterable")
     else:
         raise TypeError(
-            f"{type(data).__name__} is not a valid input. Only PyArrow RecordBatchReader, RecordBatch, Iterable[RecordBatch], Table, Dataset or Pandas DataFrame are valid inputs for source."
+            f"{type(data).__name__} is not a valid input. Only PyArrow RecordBatchReader, RecordBatch, Iterable[RecordBatch], Table, Dataset or Pandas DataFrame or objects implementing the Arrow PyCapsule Interface are valid inputs for source."
         )
 
     if schema is None:
@@ -443,7 +473,7 @@ def visitor(written_file: Any) -> None:
                 raise DeltaProtocolError(
                     "This table's min_writer_version is "
                     f"{table_protocol.min_writer_version}, "
-                    f"""but this method only supports version 2 or 7 with at max these features {SUPPORTED_WRITER_FEATURES} enabled. 
+                    f"""but this method only supports version 2 or 7 with at max these features {SUPPORTED_WRITER_FEATURES} enabled.
                     Try engine='rust' instead which supports more features and writer versions."""
                 )
             if (