diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index d40c754..31183d5 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -32,14 +32,55 @@ jobs:
       - name: pre-commit
         run: pixi run pre-commit-run --color=always --show-diff-on-failure
 
-  unit-tests:
+  unit-tests-linux:
     name: Unit Tests (${{ matrix.os == 'ubuntu-latest' && 'Linux' || 'Windows' }}) - ${{ matrix.environment }}
     timeout-minutes: 30
     runs-on: ${{ matrix.os }}
     strategy:
       fail-fast: true
       matrix:
-        os: [ubuntu-latest, windows-latest]
+        os: [ubuntu-latest]
+        environment: [py310, py311, py312, py313]
+    services:
+      minio:
+        # we use the bitnami/minio image to avoid the need to set up the minio server
+        # through a 'command' section, which is not supported by GitHub Actions.
+        image: bitnami/minio:latest
+        ports:
+          - 9000:9000
+        env:
+          MINIO_ROOT_USER: minioadmin
+          MINIO_ROOT_PASSWORD: minioadmin
+        options: >-
+          --name minio
+    steps:
+      - name: Checkout branch
+        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
+      - name: Set up pixi
+        uses: prefix-dev/setup-pixi@14c8aabd75893f83f4ab30c03e7cf853c8208961 # v0.8.10
+        with:
+          environments: ${{ matrix.environment }}
+      - name: Install repository
+        run: pixi run -e ${{ matrix.environment }} postinstall
+      - name: Run pytest
+        run: pixi run -e ${{ matrix.environment }} test-coverage --color=yes
+        env:
+          AWS_SECRET_ACCESS_KEY: minioadmin
+          AWS_ACCESS_KEY_ID: minioadmin
+          AWS_ENDPOINT_URL: http://127.0.0.1:9000
+      - name: Upload codecov
+        uses: codecov/codecov-action@18283e04ce6e62d37312384ff67231eb8fd56d24 # v5.4.3
+        with:
+          files: ./coverage.xml
+          token: ${{ secrets.CODECOV_TOKEN }}
+  unit-tests-windows:
+    name: Unit Tests (Windows) - ${{ matrix.environment }}
+    timeout-minutes: 30
+    runs-on: ${{ matrix.os }}
+    strategy:
+      fail-fast: true
+      matrix:
+        os: [windows-latest]
         environment: [py310, py311, py312, py313]
     steps:
       - name: Checkout branch
diff --git a/.github/workflows/nightly.yml b/.github/workflows/nightly.yml
index f715f1e..769c3f7 100644
--- a/.github/workflows/nightly.yml
+++ b/.github/workflows/nightly.yml
@@ -14,13 +14,47 @@ permissions:
 
 jobs:
   unit-tests:
-    name: Unit Tests (${{ matrix.os == 'ubuntu-latest' && 'Linux' || 'Windows' }})
+    name: Unit Tests (Linuxs)
     timeout-minutes: 30
-    runs-on: ${{ matrix.os }}
+    runs-on: ubuntu-latest
+    services:
+      minio:
+        # we use the bitnami/minio image to avoid the need to set up the minio server
+        # through a 'command' section, which is not supported by GitHub Actions.
+        image: bitnami/minio:latest
+        ports:
+          - 9000:9000
+        env:
+          MINIO_ROOT_USER: minioadmin
+          MINIO_ROOT_PASSWORD: minioadmin
+        options: >-
+          --name minio
+    strategy:
+      fail-fast: true
+    steps:
+      - name: Checkout branch
+        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
+      - name: Set up pixi
+        uses: prefix-dev/setup-pixi@14c8aabd75893f83f4ab30c03e7cf853c8208961 # v0.8.10
+        with:
+          environments: nightly
+      - name: Install polars nightly
+        run: pixi run -e nightly install-polars-nightly
+      - name: Install repository
+        run: pixi run -e nightly postinstall
+      - name: Run pytest
+        run: pixi run -e nightly test-coverage --color=yes
+        env:
+          AWS_SECRET_ACCESS_KEY: minioadmin
+          AWS_ACCESS_KEY_ID: minioadmin
+          AWS_ENDPOINT_URL: http://127.0.0.1:9000
+
+  unit-tests-windows:
+    name: Unit Tests (Windows)
+    timeout-minutes: 30
+    runs-on: windows-latest
     strategy:
       fail-fast: true
-      matrix:
-        os: [ubuntu-latest, windows-latest]
     steps:
       - name: Checkout branch
         uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
diff --git a/dataframely/collection.py b/dataframely/collection.py
index 3580e6f..a8d060d 100644
--- a/dataframely/collection.py
+++ b/dataframely/collection.py
@@ -10,6 +10,7 @@
 from pathlib import Path
 from typing import Annotated, Any, cast
 
+import fsspec
 import polars as pl
 import polars.exceptions as plexc
 
@@ -678,15 +679,21 @@ def sink_parquet(self, directory: str | Path, **kwargs: Any) -> None:
         self._to_parquet(directory, sink=True, **kwargs)
 
     def _to_parquet(self, directory: str | Path, *, sink: bool, **kwargs: Any) -> None:
-        path = Path(directory) if isinstance(directory, str) else directory
-        path.mkdir(parents=True, exist_ok=True)
-        with open(path / "schema.json", "w") as f:
+        directory = str(directory)
+        fs, _ = fsspec.url_to_fs(directory)
+        assert isinstance(fs, fsspec.AbstractFileSystem)
+        directory = directory.rstrip(fs.sep)
+        fs.makedirs(directory, exist_ok=True)
+
+        with fs.open(f"{directory}{fs.sep}schema.json", "w") as f:
             f.write(self.serialize())
 
         member_schemas = self.member_schemas()
         for key, lf in self.to_dict().items():
             destination = (
-                path / key if "partition_by" in kwargs else path / f"{key}.parquet"
+                f"{directory}{fs.sep}{key}"
+                if "partition_by" in kwargs
+                else f"{directory}{fs.sep}{key}.parquet"
             )
             if sink:
                 member_schemas[key].sink_parquet(
@@ -751,9 +758,8 @@ def read_parquet(
             Be aware that this method suffers from the same limitations as
             :meth:`serialize`.
         """
-        path = Path(directory)
-        data = cls._from_parquet(path, scan=True, **kwargs)
-        if not cls._requires_validation_for_reading_parquets(path, validation):
+        data = cls._from_parquet(directory, scan=True, **kwargs)
+        if not cls._requires_validation_for_reading_parquets(directory, validation):
             cls._validate_input_keys(data)
             return cls._init(data)
         return cls.validate(data, cast=True)
@@ -812,20 +818,19 @@ def scan_parquet(
             Be aware that this method suffers from the same limitations as
             :meth:`serialize`.
         """
-        path = Path(directory)
-        data = cls._from_parquet(path, scan=True, **kwargs)
-        if not cls._requires_validation_for_reading_parquets(path, validation):
+        data = cls._from_parquet(directory, scan=True, **kwargs)
+        if not cls._requires_validation_for_reading_parquets(directory, validation):
             cls._validate_input_keys(data)
             return cls._init(data)
         return cls.validate(data, cast=True)
 
     @classmethod
     def _from_parquet(
-        cls, path: Path, scan: bool, **kwargs: Any
+        cls, path: str | Path, scan: bool, **kwargs: Any
     ) -> dict[str, pl.LazyFrame]:
         data = {}
         for key in cls.members():
-            if (source_path := cls._member_source_path(path, key)) is not None:
+            if (source_path := cls._member_source_path(str(path), key)) is not None:
                 data[key] = (
                     pl.scan_parquet(source_path, **kwargs)
                     if scan
@@ -834,11 +839,15 @@ def _from_parquet(
         return data
 
     @classmethod
-    def _member_source_path(cls, base_path: Path, name: str) -> Path | None:
-        if (path := base_path / name).exists() and base_path.is_dir():
+    def _member_source_path(cls, base_path: str, name: str) -> str | None:
+        fs, _ = fsspec.url_to_fs(base_path)
+        base_path = base_path.rstrip(fs.sep)
+        assert isinstance(fs, fsspec.AbstractFileSystem)
+
+        if fs.exists(path := f"{base_path}{fs.sep}{name}") and fs.isdir(path):
             # We assume that the member is stored as a hive-partitioned dataset
             return path
-        if (path := base_path / f"{name}.parquet").exists():
+        if fs.exists(path := f"{base_path}{fs.sep}{name}.parquet"):
             # We assume that the member is stored as a single parquet file
             return path
         return None
@@ -846,17 +855,20 @@ def _member_source_path(cls, base_path: Path, name: str) -> Path | None:
     @classmethod
     def _requires_validation_for_reading_parquets(
         cls,
-        directory: Path,
+        directory: str | Path,
         validation: Validation,
     ) -> bool:
         if validation == "skip":
             return False
-
+        directory = str(directory)
+        fs, _ = fsspec.url_to_fs(directory)
+        directory = directory.rstrip(fs.sep)
+        assert isinstance(fs, fsspec.AbstractFileSystem)
         # First, we check whether the path provides the serialization of the collection.
         # If it does, we check whether it matches this collection. If it does, we assume
         # that the data adheres to the collection and we do not need to run validation.
-        if (json_serialization := directory / "schema.json").exists():
-            metadata = json_serialization.read_text()
+        if fs.exists(json_serialization := f"{directory}{fs.sep}schema.json"):
+            metadata = fs.read_text(json_serialization)
             serialized_collection = deserialize_collection(metadata)
             if cls.matches(serialized_collection):
                 return False
diff --git a/docker-compose.yml b/docker-compose.yml
index caed1c2..bfd7194 100644
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -8,3 +8,14 @@ services:
       SA_PASSWORD: P@ssword1
     ports:
       - "1455:1433"
+  minio:
+    image: quay.io/minio/minio
+    ports:
+      - "9000:9000"
+      - "9001:9001"
+    volumes:
+      - minio-data:/data
+    command: server /data --console-address ":9001"
+
+volumes:
+  minio-data:
diff --git a/pixi.lock b/pixi.lock
index 354d6e7..66943b5 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -24,6 +24,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/dbus-1.16.2-h3c4dab8_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/docutils-0.21.2-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.3.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/fsspec-2025.7.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/gcc_impl_linux-64-15.1.0-h4393ad2_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/h2-4.2.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/hpack-4.1.0-pyhd8ed1ab_0.conda
@@ -127,6 +128,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/dbus-1.16.2-heda779d_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/docutils-0.21.2-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.3.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/fsspec-2025.7.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/gcc_impl_linux-aarch64-15.1.0-hed31cfe_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/h2-4.2.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/hpack-4.1.0-pyhd8ed1ab_0.conda
@@ -226,6 +228,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/cpython-3.13.3-py313hd8ed1ab_101.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/docutils-0.21.2-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.3.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/fsspec-2025.7.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/h2-4.2.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/hpack-4.1.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/hyperframe-6.1.0-pyhd8ed1ab_0.conda
@@ -313,6 +316,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/cpython-3.13.3-py313hd8ed1ab_101.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/docutils-0.21.2-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.3.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/fsspec-2025.7.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/h2-4.2.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/hpack-4.1.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/hyperframe-6.1.0-pyhd8ed1ab_0.conda
@@ -400,6 +404,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/cpython-3.13.3-py313hd8ed1ab_101.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/docutils-0.21.2-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.3.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/fsspec-2025.7.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/h2-4.2.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/hpack-4.1.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/hyperframe-6.1.0-pyhd8ed1ab_0.conda
@@ -482,6 +487,11 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/_python_abi3_support-1.0-hd8ed1ab_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/aiobotocore-2.23.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/aiohappyeyeballs-2.6.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aiohttp-3.12.14-py312h8a5da7c_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/aioitertools-0.12.0-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/aiosignal-1.4.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/anyio-4.9.0-pyh29332c3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/argon2-cffi-23.1.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/argon2-cffi-bindings-21.2.0-py312h66e93f0_5.conda
@@ -512,6 +522,10 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/binutils_impl_linux-64-2.43-h4bf12b8_4.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/bleach-6.2.0-pyh29332c3_4.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/bleach-with-css-6.2.0-h82add2a_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/boto3-1.38.27-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/boto3-stubs-1.39.8-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/botocore-1.38.27-pyge310_1234567_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/botocore-stubs-1.38.46-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.1.0-py312h2ec8cdc_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-h4bc722e_7.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.34.5-hb9d3cd8_0.conda
@@ -535,6 +549,8 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/executing-2.2.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/filelock-3.18.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/fqdn-1.5.1-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/frozenlist-1.7.0-py312h447239a_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/fsspec-2025.7.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/gcc_impl_linux-64-15.1.0-h4393ad2_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/gflags-2.2.2-h5888daf_1005.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/glog-0.7.1-hbabe93e_0.conda
@@ -559,6 +575,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/isoduration-20.11.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jedi-0.19.2-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.6-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jmespath-1.0.1-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/joblib-1.5.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/json5-0.12.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/jsonpointer-3.0.0-py312h7900ff3_1.conda
@@ -636,6 +653,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/matplotlib-inline-0.1.7-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/maturin-1.8.6-py39h446a924_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/mistune-3.1.3-pyh29332c3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/multidict-6.6.3-py312h178313f_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/mypy-1.16.0-py312h66e93f0_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/mypy_extensions-1.1.0-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nbclient-0.10.2-pyhd8ed1ab_0.conda
@@ -673,6 +691,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/prometheus_client-0.22.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.51-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/prompt_toolkit-3.0.51-hd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/propcache-0.3.1-py312h178313f_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/psutil-7.0.0-py312h66e93f0_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/ptyprocess-0.7.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pure_eval-0.2.3-pyhd8ed1ab_1.conda
@@ -712,6 +731,8 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/rust-1.85.1-h1a8d7c4_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/rust-std-x86_64-unknown-linux-gnu-1.85.1-h2c6d0dc_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/s2n-1.5.19-h763c568_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/s3fs-2025.7.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/s3transfer-0.13.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/scikit-learn-1.6.1-py312h7a48858_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/scipy-1.15.2-py312ha707e6e_0.conda
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@@ -6417,6 +7763,15 @@ packages:
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+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/brotli-python-1.1.0-py313h928ef07_3.conda
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+  - python >=3.11,<3.12.0a0
+  - python >=3.11,<3.12.0a0 *_cpython
+  - python_abi 3.11.* *_cp311
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 699010
+  timestamp: 1745869858761
+- conda: https://conda.anaconda.org/conda-forge/linux-aarch64/zstandard-0.23.0-py312hb2c0f52_2.conda
+  sha256: 6d92f32fc910c8b5fde51ab945363cd734f1410aae9bc3bef29ea7d04befe984
+  md5: 6b56dc2918477bc635ef293e05d286f8
+  depends:
+  - cffi >=1.11
+  - libgcc >=13
+  - python >=3.12,<3.13.0a0
+  - python >=3.12,<3.13.0a0 *_cpython
+  - python_abi 3.12.* *_cp312
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 698294
+  timestamp: 1745869855077
 - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/zstandard-0.23.0-py313h31d5739_2.conda
   sha256: 421164e0f3f95720030c14f9a337212da33de48421f4d9ef9ef80524a57c452e
   md5: 08212d1111359076fb5147223f4f373b
@@ -25872,6 +29162,30 @@ packages:
   license_family: BSD
   size: 703643
   timestamp: 1745869847897
+- conda: https://conda.anaconda.org/conda-forge/osx-64/zstandard-0.23.0-py310hbb8c376_2.conda
+  sha256: fad4ae15d30c13d0d51748139064fc0bb59359719881e7a370ca8652c4917828
+  md5: 5b75d4015ead2df6bf15bc372edfa139
+  depends:
+  - __osx >=10.13
+  - cffi >=1.11
+  - python >=3.10,<3.11.0a0
+  - python_abi 3.10.* *_cp310
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 681744
+  timestamp: 1745869885563
+- conda: https://conda.anaconda.org/conda-forge/osx-64/zstandard-0.23.0-py311h4d7f069_2.conda
+  sha256: 72ab78bbde3396ffb2b81a2513f48a27c128ddc4e06a8d3dbcfa790479deab40
+  md5: 2712198232a6fcc673f9eef62fce85d5
+  depends:
+  - __osx >=10.13
+  - cffi >=1.11
+  - python >=3.11,<3.12.0a0
+  - python_abi 3.11.* *_cp311
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 691672
+  timestamp: 1745869990327
 - conda: https://conda.anaconda.org/conda-forge/osx-64/zstandard-0.23.0-py312h01d7ebd_2.conda
   sha256: 970db6b96b9ac7c1418b8743cf63c3ee6285ec7f56ffc94ac7850b4c2ebc3095
   md5: 64aea64b791ab756ef98c79f0e48fee5
@@ -25896,6 +29210,45 @@ packages:
   license_family: BSD
   size: 696588
   timestamp: 1745869877231
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/zstandard-0.23.0-py310h078409c_2.conda
+  sha256: 6fdb3e71c6af5fe9c2469befb724a80d8c874078df1fa9738d84cf857d84d4b1
+  md5: a617ab3d9042eef702d8d163c50e9b5e
+  depends:
+  - __osx >=11.0
+  - cffi >=1.11
+  - python >=3.10,<3.11.0a0
+  - python >=3.10,<3.11.0a0 *_cpython
+  - python_abi 3.10.* *_cp310
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 522323
+  timestamp: 1745870245475
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/zstandard-0.23.0-py311h917b07b_2.conda
+  sha256: 7c7f7e24ff49dc6ecb804373bedca663d3c24d57cac55524be8c83da90313928
+  md5: 9fd87c9aae7db68b4a3427886b5f3eea
+  depends:
+  - __osx >=11.0
+  - cffi >=1.11
+  - python >=3.11,<3.12.0a0
+  - python >=3.11,<3.12.0a0 *_cpython
+  - python_abi 3.11.* *_cp311
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 532851
+  timestamp: 1745869893672
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/zstandard-0.23.0-py312hea69d52_2.conda
+  sha256: c499a2639c2981ac2fd33bae2d86c15d896bc7524f1c5651a7d3b088263f7810
+  md5: ba0eb639914e4033e090b46f53bec31c
+  depends:
+  - __osx >=11.0
+  - cffi >=1.11
+  - python >=3.12,<3.13.0a0
+  - python >=3.12,<3.13.0a0 *_cpython
+  - python_abi 3.12.* *_cp312
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 532173
+  timestamp: 1745870087418
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/zstandard-0.23.0-py313h90d716c_2.conda
   sha256: 70ed0c931f9cfad3e3a75a1faf557c5fc5bf638675c6afa2fb8673e4f88fb2c5
   md5: 1f465c71f83bd92cfe9df941437dcd7c
@@ -25909,6 +29262,48 @@ packages:
   license_family: BSD
   size: 536612
   timestamp: 1745870248616
+- conda: https://conda.anaconda.org/conda-forge/win-64/zstandard-0.23.0-py310ha8f682b_2.conda
+  sha256: 76bf75ef83e952ef4974e0e6656a7a90b4c4c1c22cea984cb9fc29aca05e5999
+  md5: fdc36a989175bb166109e400c106defa
+  depends:
+  - cffi >=1.11
+  - python >=3.10,<3.11.0a0
+  - python_abi 3.10.* *_cp310
+  - ucrt >=10.0.20348.0
+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 435740
+  timestamp: 1745870314659
+- conda: https://conda.anaconda.org/conda-forge/win-64/zstandard-0.23.0-py311he736701_2.conda
+  sha256: aaae40057eac5b5996db4e6b3d8eb00d38455e67571e796135d29702a19736bd
+  md5: 8355ec073f73581e29adf77c49096aed
+  depends:
+  - cffi >=1.11
+  - python >=3.11,<3.12.0a0
+  - python_abi 3.11.* *_cp311
+  - ucrt >=10.0.20348.0
+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 445673
+  timestamp: 1745870127079
+- conda: https://conda.anaconda.org/conda-forge/win-64/zstandard-0.23.0-py312h4389bb4_2.conda
+  sha256: 10f25f85f856dbc776b4a2cf801d31edd07cbfaa45b9cca14dd776a9f2887cb5
+  md5: 24554d76d0efcca11faa0a013c16ed5a
+  depends:
+  - cffi >=1.11
+  - python >=3.12,<3.13.0a0
+  - python_abi 3.12.* *_cp312
+  - ucrt >=10.0.20348.0
+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 444685
+  timestamp: 1745870132644
 - conda: https://conda.anaconda.org/conda-forge/win-64/zstandard-0.23.0-py313ha7868ed_2.conda
   sha256: b7bfe264fe3810b1abfe7f80c0f21f470d7cc730ada7ce3b3d08a90cb871999c
   md5: b4d967b4d695a2ba8554738b3649d754
diff --git a/pixi.toml b/pixi.toml
index ce55b50..82444f6 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -14,6 +14,7 @@ rust = "=1.85"
 numpy = "*"
 polars = ">=1.30"
 pytest-mock = ">=3.14.1,<4"
+fsspec = ">=2025.7.0,<2026"
 
 [host-dependencies]
 maturin = ">=1.7,<2"
@@ -51,6 +52,9 @@ pytest-cov = "*"
 pytest-md = "*"
 scikit-learn = "*"
 sqlalchemy = ">=2"
+s3fs = ">=2025.7.0,<2026"
+boto3 = ">=1.38.27,<2"
+boto3-stubs = ">=1.39.8,<2"
 
 [feature.test.tasks]
 test = "pytest"
diff --git a/pyproject.toml b/pyproject.toml
index 4deda2a..cbbc986 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -18,6 +18,7 @@ classifiers = [
 dependencies = [
   "numpy",
   "polars>=1.30",
+  "fsspec>=2025.7.0,<2026",
   # Conditional
   'typing-extensions; python_version <= "3.10"',
 ]
@@ -83,7 +84,7 @@ warn_unused_ignores = true
 
 [[tool.mypy.overrides]]
 ignore_missing_imports = true
-module = ["pyarrow.*", "pytest_benchmark.*", "sklearn.*"]
+module = ["fsspec.*", "pyarrow.*", "pytest_benchmark.*", "sklearn.*"]
 
 [tool.pytest.ini_options]
 addopts = "--import-mode=importlib --benchmark-skip"
diff --git a/tests/collection/test_read_write_parquet.py b/tests/collection/test_read_write_parquet.py
index a2e507b..92e00b7 100644
--- a/tests/collection/test_read_write_parquet.py
+++ b/tests/collection/test_read_write_parquet.py
@@ -1,10 +1,15 @@
 # Copyright (c) QuantCo 2025-2025
 # SPDX-License-Identifier: BSD-3-Clause
 
+import os
+import random
+import string
 from collections.abc import Callable
 from pathlib import Path
 from typing import Any, TypeVar
 
+import boto3
+import fsspec
 import polars as pl
 import pytest
 import pytest_mock
@@ -17,29 +22,36 @@
 C = TypeVar("C", bound=dy.Collection)
 
 
-def _write_parquet_typed(collection: dy.Collection, path: Path, lazy: bool) -> None:
+def _write_parquet_typed(
+    collection: dy.Collection, path: Path | str, lazy: bool
+) -> None:
     if lazy:
         collection.sink_parquet(path)
     else:
         collection.write_parquet(path)
 
 
-def _write_parquet(collection: dy.Collection, path: Path, lazy: bool) -> None:
+def _write_parquet(collection: dy.Collection, path: Path | str, lazy: bool) -> None:
     if lazy:
         collection.sink_parquet(path)
     else:
         collection.write_parquet(path)
-    (path / "schema.json").unlink()
+    fs, _ = fsspec.url_to_fs(str(path))
+    fs.rm(f"{path}/schema.json")
 
 
-def _read_parquet(collection: type[C], path: Path, lazy: bool, **kwargs: Any) -> C:
+def _read_parquet(
+    collection: type[C], path: Path | str, lazy: bool, **kwargs: Any
+) -> C:
     if lazy:
         return collection.scan_parquet(path, **kwargs)
     else:
         return collection.read_parquet(path, **kwargs)
 
 
-def _write_collection_with_no_schema(tmp_path: Path, lazy: bool) -> type[dy.Collection]:
+def _write_collection_with_no_schema(
+    tmp_path: Path | str, lazy: bool
+) -> type[dy.Collection]:
     collection_type = create_collection(
         "test", {"a": create_schema("test", {"a": dy.Int64(), "b": dy.String()})}
     )
@@ -49,7 +61,7 @@ def _write_collection_with_no_schema(tmp_path: Path, lazy: bool) -> type[dy.Coll
 
 
 def _write_collection_with_incorrect_schema(
-    tmp_path: Path, lazy: bool
+    tmp_path: Path | str, lazy: bool
 ) -> type[dy.Collection]:
     collection_type = create_collection(
         "test", {"a": create_schema("test", {"a": dy.Int64(), "b": dy.String()})}
@@ -67,6 +79,20 @@ def _write_collection_with_incorrect_schema(
     return collection_type
 
 
+@pytest.fixture
+def s3_path() -> str:
+    """Fixture to provide a mock S3 path for testing."""
+    s3 = boto3.resource("s3")
+    bucket_name = "".join(random.choice(string.ascii_lowercase) for _ in range(10))
+    s3.create_bucket(Bucket=bucket_name)
+    return f"s3://{bucket_name}"
+
+
+def check_platform(path_fixture: str) -> None:
+    if os.environ.get("AWS_ENDPOINT_URL") is None and path_fixture == "s3_path":
+        pytest.skip("Skipping S3 tests as Minio URL is not set.")
+
+
 # ------------------------------------------------------------------------------------ #
 
 
@@ -88,18 +114,28 @@ class MyCollection(dy.Collection):
     "read_fn", [MyCollection.scan_parquet, MyCollection.read_parquet]
 )
 @pytest.mark.parametrize("kwargs", [{}, {"partition_by": "a"}])
+@pytest.mark.parametrize("path_fixture", ["tmp_path", "s3_path"])
 def test_read_write_parquet(
-    tmp_path: Path, read_fn: Callable[[Path], MyCollection], kwargs: dict[str, Any]
+    read_fn: Callable[[Path], MyCollection],
+    kwargs: dict[str, Any],
+    path_fixture: str,
+    request: pytest.FixtureRequest,
 ) -> None:
+    check_platform(path_fixture)
+    if path_fixture == "s3_path" and len(kwargs) > 0:
+        pytest.skip("Polars currently can not read partitioned S3 parquet files")
+
+    path = request.getfixturevalue(path_fixture)
+
     collection = MyCollection.cast(
         {
             "first": pl.LazyFrame({"a": [1, 2, 3]}),
             "second": pl.LazyFrame({"a": [1, 2], "b": [10, 15]}),
         }
     )
-    collection.write_parquet(tmp_path, **kwargs)
+    collection.write_parquet(path, **kwargs)
 
-    read = read_fn(tmp_path)
+    read = read_fn(path)
     assert_frame_equal(collection.first, read.first)
     assert collection.second is not None
     assert read.second is not None
@@ -110,13 +146,23 @@ def test_read_write_parquet(
     "read_fn", [MyCollection.scan_parquet, MyCollection.read_parquet]
 )
 @pytest.mark.parametrize("kwargs", [{}, {"partition_by": "a"}])
+@pytest.mark.parametrize("path_fixture", ["tmp_path", "s3_path"])
 def test_read_write_parquet_optional(
-    tmp_path: Path, read_fn: Callable[[Path], MyCollection], kwargs: dict[str, Any]
+    read_fn: Callable[[Path], MyCollection],
+    kwargs: dict[str, Any],
+    path_fixture: str,
+    request: pytest.FixtureRequest,
 ) -> None:
+    check_platform(path_fixture)
+    if path_fixture == "s3_path" and len(kwargs) > 0:
+        pytest.skip("Polars currently can not read partitioned S3 parquet files")
+
+    path = request.getfixturevalue(path_fixture)
+
     collection = MyCollection.cast({"first": pl.LazyFrame({"a": [1, 2, 3]})})
-    collection.write_parquet(tmp_path, **kwargs)
+    collection.write_parquet(path, **kwargs)
 
-    read = read_fn(tmp_path)
+    read = read_fn(path)
     assert_frame_equal(collection.first, read.first)
     assert collection.second is None
     assert read.second is None
@@ -127,19 +173,27 @@ def test_read_write_parquet_optional(
 
 @pytest.mark.parametrize("validation", ["warn", "allow", "forbid", "skip"])
 @pytest.mark.parametrize("lazy", [True, False])
+@pytest.mark.parametrize("path_fixture", ["tmp_path", "s3_path"])
 def test_read_write_parquet_if_schema_matches(
-    tmp_path: Path, mocker: pytest_mock.MockerFixture, validation: Any, lazy: bool
+    mocker: pytest_mock.MockerFixture,
+    validation: Any,
+    lazy: bool,
+    path_fixture: str,
+    request: pytest.FixtureRequest,
 ) -> None:
+    check_platform(path_fixture)
+    path = request.getfixturevalue(path_fixture)
+
     # Arrange
     collection_type = create_collection(
         "test", {"a": create_schema("test", {"a": dy.Int64(), "b": dy.String()})}
     )
     collection = collection_type.create_empty()
-    _write_parquet_typed(collection, tmp_path, lazy)
+    _write_parquet_typed(collection, path, lazy)
 
     # Act
     spy = mocker.spy(collection_type, "validate")
-    _read_parquet(collection_type, tmp_path, lazy, validation=validation)
+    _read_parquet(collection_type, path, lazy, validation=validation)
 
     # Assert
     spy.assert_not_called()
@@ -149,11 +203,18 @@ def test_read_write_parquet_if_schema_matches(
 
 
 @pytest.mark.parametrize("lazy", [True, False])
+@pytest.mark.parametrize("path_fixture", ["tmp_path", "s3_path"])
 def test_read_write_parquet_validation_warn_no_schema(
-    tmp_path: Path, mocker: pytest_mock.MockerFixture, lazy: bool
+    mocker: pytest_mock.MockerFixture,
+    lazy: bool,
+    path_fixture: str,
+    request: pytest.FixtureRequest,
 ) -> None:
+    check_platform(path_fixture)
+    path = request.getfixturevalue(path_fixture)
+
     # Arrange
-    collection = _write_collection_with_no_schema(tmp_path, lazy)
+    collection = _write_collection_with_no_schema(path, lazy)
 
     # Act
     spy = mocker.spy(collection, "validate")
@@ -161,18 +222,24 @@ def test_read_write_parquet_validation_warn_no_schema(
         UserWarning,
         match=r"requires validation: no collection schema to check validity",
     ):
-        _read_parquet(collection, tmp_path, lazy)
+        _read_parquet(collection, path, lazy)
 
     # Assert
     spy.assert_called_once()
 
 
 @pytest.mark.parametrize("lazy", [True, False])
+@pytest.mark.parametrize("path_fixture", ["tmp_path", "s3_path"])
 def test_read_write_parquet_validation_warn_invalid_schema(
-    tmp_path: Path, mocker: pytest_mock.MockerFixture, lazy: bool
+    mocker: pytest_mock.MockerFixture,
+    lazy: bool,
+    path_fixture: str,
+    request: pytest.FixtureRequest,
 ) -> None:
+    check_platform(path_fixture)
+    path = request.getfixturevalue(path_fixture)
     # Arrange
-    collection = _write_collection_with_incorrect_schema(tmp_path, lazy)
+    collection = _write_collection_with_incorrect_schema(path, lazy)
 
     # Act
     spy = mocker.spy(collection, "validate")
@@ -180,7 +247,7 @@ def test_read_write_parquet_validation_warn_invalid_schema(
         UserWarning,
         match=r"requires validation: current collection schema does not match",
     ):
-        _read_parquet(collection, tmp_path, lazy)
+        _read_parquet(collection, path, lazy)
 
     # Assert
     spy.assert_called_once()
@@ -190,30 +257,44 @@ def test_read_write_parquet_validation_warn_invalid_schema(
 
 
 @pytest.mark.parametrize("lazy", [True, False])
+@pytest.mark.parametrize("path_fixture", ["tmp_path", "s3_path"])
 def test_read_write_parquet_validation_allow_no_schema(
-    tmp_path: Path, mocker: pytest_mock.MockerFixture, lazy: bool
+    mocker: pytest_mock.MockerFixture,
+    lazy: bool,
+    path_fixture: str,
+    request: pytest.FixtureRequest,
 ) -> None:
+    check_platform(path_fixture)
+    path = request.getfixturevalue(path_fixture)
+
     # Arrange
-    collection = _write_collection_with_no_schema(tmp_path, lazy)
+    collection = _write_collection_with_no_schema(path, lazy)
 
     # Act
     spy = mocker.spy(collection, "validate")
-    _read_parquet(collection, tmp_path, lazy, validation="allow")
+    _read_parquet(collection, path, lazy, validation="allow")
 
     # Assert
     spy.assert_called_once()
 
 
 @pytest.mark.parametrize("lazy", [True, False])
+@pytest.mark.parametrize("path_fixture", ["tmp_path", "s3_path"])
 def test_read_write_parquet_validation_allow_invalid_schema(
-    tmp_path: Path, mocker: pytest_mock.MockerFixture, lazy: bool
+    mocker: pytest_mock.MockerFixture,
+    lazy: bool,
+    path_fixture: str,
+    request: pytest.FixtureRequest,
 ) -> None:
+    check_platform(path_fixture)
+    path = request.getfixturevalue(path_fixture)
+
     # Arrange
-    collection = _write_collection_with_incorrect_schema(tmp_path, lazy)
+    collection = _write_collection_with_incorrect_schema(path, lazy)
 
     # Act
     spy = mocker.spy(collection, "validate")
-    _read_parquet(collection, tmp_path, lazy, validation="allow")
+    _read_parquet(collection, path, lazy, validation="allow")
 
     # Assert
     spy.assert_called_once()
@@ -223,63 +304,81 @@ def test_read_write_parquet_validation_allow_invalid_schema(
 
 
 @pytest.mark.parametrize("lazy", [True, False])
+@pytest.mark.parametrize("path_fixture", ["tmp_path", "s3_path"])
 def test_read_write_parquet_validation_forbid_no_schema(
-    tmp_path: Path, lazy: bool
+    lazy: bool, path_fixture: str, request: pytest.FixtureRequest
 ) -> None:
+    check_platform(path_fixture)
+    path = request.getfixturevalue(path_fixture)
     # Arrange
-    collection = _write_collection_with_no_schema(tmp_path, lazy)
+    collection = _write_collection_with_no_schema(path, lazy)
 
     # Act
     with pytest.raises(
         ValidationRequiredError,
         match=r"without validation: no collection schema to check validity",
     ):
-        _read_parquet(collection, tmp_path, lazy, validation="forbid")
+        _read_parquet(collection, path, lazy, validation="forbid")
 
 
 @pytest.mark.parametrize("lazy", [True, False])
+@pytest.mark.parametrize("path_fixture", ["tmp_path", "s3_path"])
 def test_read_write_parquet_validation_forbid_invalid_schema(
-    tmp_path: Path, lazy: bool
+    lazy: bool, path_fixture: str, request: pytest.FixtureRequest
 ) -> None:
+    check_platform(path_fixture)
+    path = request.getfixturevalue(path_fixture)
     # Arrange
-    collection = _write_collection_with_incorrect_schema(tmp_path, lazy)
+    collection = _write_collection_with_incorrect_schema(path, lazy)
 
     # Act
     with pytest.raises(
         ValidationRequiredError,
         match=r"without validation: current collection schema does not match",
     ):
-        _read_parquet(collection, tmp_path, lazy, validation="forbid")
+        _read_parquet(collection, path, lazy, validation="forbid")
 
 
 # --------------------------------- VALIDATION "SKIP" -------------------------------- #
 
 
 @pytest.mark.parametrize("lazy", [True, False])
+@pytest.mark.parametrize("path_fixture", ["tmp_path", "s3_path"])
 def test_read_write_parquet_validation_skip_no_schema(
-    tmp_path: Path, mocker: pytest_mock.MockerFixture, lazy: bool
+    lazy: bool,
+    mocker: pytest_mock.MockerFixture,
+    path_fixture: str,
+    request: pytest.FixtureRequest,
 ) -> None:
+    check_platform(path_fixture)
+    path = request.getfixturevalue(path_fixture)
     # Arrange
-    collection = _write_collection_with_no_schema(tmp_path, lazy)
+    collection = _write_collection_with_no_schema(path, lazy)
 
     # Act
     spy = mocker.spy(collection, "validate")
-    _read_parquet(collection, tmp_path, lazy, validation="skip")
+    _read_parquet(collection, path, lazy, validation="skip")
 
     # Assert
     spy.assert_not_called()
 
 
 @pytest.mark.parametrize("lazy", [True, False])
+@pytest.mark.parametrize("path_fixture", ["tmp_path", "s3_path"])
 def test_read_write_parquet_validation_skip_invalid_schema(
-    tmp_path: Path, mocker: pytest_mock.MockerFixture, lazy: bool
+    lazy: bool,
+    mocker: pytest_mock.MockerFixture,
+    path_fixture: str,
+    request: pytest.FixtureRequest,
 ) -> None:
+    check_platform(path_fixture)
+    path = request.getfixturevalue(path_fixture)
     # Arrange
-    collection = _write_collection_with_incorrect_schema(tmp_path, lazy)
+    collection = _write_collection_with_incorrect_schema(path, lazy)
 
     # Act
     spy = mocker.spy(collection, "validate")
-    _read_parquet(collection, tmp_path, lazy, validation="skip")
+    _read_parquet(collection, path, lazy, validation="skip")
 
     # Assert
     spy.assert_not_called()