diff --git a/tests/test_tools.py b/tests/test_tools.py
index bcf0658..210bcbf 100644
--- a/tests/test_tools.py
+++ b/tests/test_tools.py
@@ -455,6 +455,45 @@ def test_missing_columns_raise(self, svedala_eq, tmp_path):
         with pytest.raises(ValueError, match="missing columns.*VALUE"):
             triplets.export.export_to_nquads(broken, str(tmp_path / "x.nq"))
 
+    def test_polars_input_exports(self, svedala_eq):
+        """Polars input converts to pandas at the orchestrator and exports.
+
+        Note: the mixed string/int VALUE problem from issue #50 cannot occur
+        with polars input — polars columns are strictly typed, so a mixed
+        object VALUE column is rejected at frame construction already.
+        """
+        polars = pytest.importorskip("polars")
+        from triplets.export_schema import schemas
+        result = polars.from_pandas(svedala_eq).triplets.export_to_cimxml(
+            rdf_map=schemas.ENTSOE_CGMES_3_0_0_552_ED1,
+            export_type="xml_per_instance",
+            export_to_memory=True,
+        )
+        result[0].seek(0)
+        reimported = pandas.read_RDF([result[0]])
+        assert reimported.get_types_count()["ACLineSegment"] == svedala_eq.get_types_count()["ACLineSegment"]
+
+    def test_duckdb_input_exports(self, svedala_eq, tmp_path):
+        """DuckDB exports fetch the triplets table into pandas and export.
+
+        As with polars, DuckDB columns are strictly typed (VALUE is VARCHAR),
+        so the mixed string/int case from issue #50 cannot occur here.
+        """
+        duckdb = pytest.importorskip("duckdb")
+        from triplets.export_schema import schemas
+        con = duckdb.connect()
+        con.register("source", svedala_eq)
+        con.execute("CREATE TABLE triplets AS SELECT * FROM source")
+
+        result = con.export_to_cimxml(
+            rdf_map=schemas.ENTSOE_CGMES_3_0_0_552_ED1,
+            export_type="xml_per_instance",
+            export_to_memory=True,
+        )
+        result[0].seek(0)
+        reimported = pandas.read_RDF([result[0]])
+        assert reimported.get_types_count()["ACLineSegment"] == svedala_eq.get_types_count()["ACLineSegment"]
+
     def test_engines_produce_identical_output(self, svedala_eq):
         require_cimxml_engine("cython_pugixml")
         from triplets.export_schema import schemas
diff --git a/triplets/_accessor.py b/triplets/_accessor.py
index 8d0eac4..2d28e24 100644
--- a/triplets/_accessor.py
+++ b/triplets/_accessor.py
@@ -83,7 +83,7 @@
     "references_to", "references_from",
 ]
 
-DUCKDB_EXPORT_METHODS = ["export_to_excel", "export_to_csv", "export_to_nquads"]
+DUCKDB_EXPORT_METHODS = ["export_to_excel", "export_to_csv", "export_to_nquads", "export_to_cimxml"]
 
 
 def _delegate(module, name):
diff --git a/triplets/export/__init__.py b/triplets/export/__init__.py
index 49606e8..2b38dae 100644
--- a/triplets/export/__init__.py
+++ b/triplets/export/__init__.py
@@ -204,6 +204,10 @@ def export_to_cimxml(data,
         init_time = start_time
 
     _check_columns(data)
+    if _is_polars(data):
+        # the per-instance pipeline is pandas (groupby + engine contract)
+        logger.debug("format=cimxml: polars input → pandas")
+        data = data.to_pandas(use_pyarrow_extension_array=True)
     engine_name, engine_module = get_cimxml_engine(engine)
     generate = engine_module.generate_xml