diff --git a/chunking_test.py b/chunking_test.py
new file mode 100644
index 0000000000..0598a590ff
--- /dev/null
+++ b/chunking_test.py
@@ -0,0 +1,55 @@
+import json
+import os
+
+import zarr
+
+store = zarr.DirectoryStore("data/chunking_test.zarr")
+z = zarr.zeros((20, 3), chunks=(3, 2), shards=(2, 2), store=store, overwrite=True, compressor=None)
+z[:10, :] = 42
+z[15, 1] = 389
+z[19, 2] = 1
+z[0, 1] = -4.2
+
+print(store[".zarray"].decode())
+# {
+#     "chunks": [
+#         3,
+#         2
+#     ],
+#     "compressor": null,
+#     "dtype": "<f8",
+#     "fill_value": 0.0,
+#     "filters": null,
+#     "order": "C",
+#     "shape": [
+#         20,
+#         3
+#     ],
+#     "shard_format": "indexed",
+#     "shards": [
+#         2,
+#         2
+#     ],
+#     "zarr_format": 2
+# }
+
+assert json.loads(store[".zarray"].decode()) ["shards"] == [2, 2]
+
+print("ONDISK", sorted(os.listdir("data/chunking_test.zarr")))
+print("STORE", sorted(store))
+print("CHUNKSTORE (SHARDED)", sorted(z.chunk_store))
+
+# ONDISK ['.zarray', '0.0', '1.0', '2.0', '3.0']
+# STORE ['.zarray', '0.0', '1.0', '2.0', '3.0']
+# CHUNKSTORE (SHARDED) ['.zarray', '0.0', '0.1', '1.0', '1.1', '2.0', '2.1', '3.0', '3.1', '5.0', '6.1']
+
+index_bytes = z.store["0.0"][-2*2*16:]
+print("INDEX 0.0", [int.from_bytes(index_bytes[i:i+8], byteorder="little") for i in range(0, len(index_bytes), 8)])
+# INDEX 0.0 [0, 48, 48, 48, 96, 48, 144, 48]
+
+z_reopened = zarr.open("data/chunking_test.zarr")
+assert z_reopened.shards == (2, 2)
+assert z_reopened[15, 1] == 389
+assert z_reopened[19, 2] == 1
+assert z_reopened[0, 1] == -4.2
+assert z_reopened[0, 0] == 42
diff --git a/zarr/_storage/sharded_store.py b/zarr/_storage/sharded_store.py
new file mode 100644
index 0000000000..f783a0de96
--- /dev/null
+++ b/zarr/_storage/sharded_store.py
@@ -0,0 +1,184 @@
+from collections import defaultdict
+from functools import reduce
+from itertools import product
+from typing import Dict, Iterable, Iterator, List, NamedTuple, Optional, Tuple, Union
+
+import numpy as np
+
+from zarr._storage.store import BaseStore, Store
+from zarr.storage import StoreLike, array_meta_key, attrs_key, group_meta_key
+
+
+MAX_UINT_64 = 2 ** 64 - 1
+
+
+class _ShardIndex(NamedTuple):
+    store: "IndexedShardedStore"
+    offsets_and_lengths: np.ndarray  # dtype uint64, shape (shards_0, _shards_1, ..., 2)
+
+    def __localize_chunk__(self, chunk: Tuple[int, ...]) -> Tuple[int, ...]:
+        return tuple(chunk_i % shard_i for chunk_i, shard_i in zip(chunk, self.store._shards))
+
+    def get_chunk_slice(self, chunk: Tuple[int, ...]) -> Optional[slice]:
+        localized_chunk = self.__localize_chunk__(chunk)
+        chunk_start, chunk_len = self.offsets_and_lengths[localized_chunk]
+        if (chunk_start, chunk_len) == (MAX_UINT_64, MAX_UINT_64):
+            return None
+        else:
+            return slice(chunk_start, chunk_start + chunk_len)
+
+    def set_chunk_slice(self, chunk: Tuple[int, ...], chunk_slice: Optional[slice]) -> None:
+        localized_chunk = self.__localize_chunk__(chunk)
+        if chunk_slice is None:
+            self.offsets_and_lengths[localized_chunk] = (MAX_UINT_64, MAX_UINT_64)
+        else:
+            self.offsets_and_lengths[localized_chunk] = (
+                chunk_slice.start,
+                chunk_slice.stop - chunk_slice.start
+            )
+
+    def to_bytes(self) -> bytes:
+        return self.offsets_and_lengths.tobytes(order='C')
+
+    @classmethod
+    def from_bytes(
+        cls, buffer: Union[bytes, bytearray], store: "IndexedShardedStore"
+    ) -> "_ShardIndex":
+        return cls(
+            store=store,
+            offsets_and_lengths=np.frombuffer(
+                bytearray(buffer), dtype="<u8"
+            ).reshape(*store._shards, 2, order="C")
+        )
+
+    @classmethod
+    def create_empty(cls, store: "IndexedShardedStore"):
+        # reserving 2*64bit per chunk for offset and length:
+        return cls.from_bytes(
+            MAX_UINT_64.to_bytes(8, byteorder="little") * (2 * store._num_chunks_per_shard),
+            store=store
+        )
+
+
+class IndexedShardedStore(Store):
+    """This class should not be used directly,
+    but is added to an Array as a wrapper when needed automatically."""
+
+    def __init__(
+        self,
+        store: StoreLike,
+        shards: Tuple[int, ...],
+        dimension_separator: str,
+    ) -> None:
+        self._store: BaseStore = BaseStore._ensure_store(store)
+        self._shards = shards
+        self._num_chunks_per_shard = reduce(lambda x, y: x*y, shards, 1)
+        self._dimension_separator = dimension_separator
+
+        # TODO: add warnings for ineffective reads/writes:
+        # * warn if partial reads are not available
+        # * optionally warn on unaligned writes if no partial writes are available
+
+    def __keys_to_shard_groups__(
+        self, keys: Iterable[str]
+    ) -> Dict[str, List[Tuple[str, Tuple[int, ...]]]]:
+        shard_indices_per_shard_key = defaultdict(list)
+        for chunk_key in keys:
+            # TODO: allow to be in a group (aka only use last parts for dimensions)
+            chunk_subkeys = tuple(map(int, chunk_key.split(self._dimension_separator)))
+            shard_key_tuple = (
+                subkey // shard_i for subkey, shard_i in zip(chunk_subkeys, self._shards)
+            )
+            shard_key = self._dimension_separator.join(map(str, shard_key_tuple))
+            shard_indices_per_shard_key[shard_key].append((chunk_key, chunk_subkeys))
+        return shard_indices_per_shard_key
+
+    def __get_index__(self, buffer: Union[bytes, bytearray]) -> _ShardIndex:
+        # At the end of each shard 2*64bit per chunk for offset and length define the index:
+        return _ShardIndex.from_bytes(buffer[-16 * self._num_chunks_per_shard:], self)
+
+    def __get_chunks_in_shard(self, shard_key: str) -> Iterator[Tuple[int, ...]]:
+        # TODO: allow to be in a group (aka only use last parts for dimensions)
+        shard_key_tuple = tuple(map(int, shard_key.split(self._dimension_separator)))
+        for chunk_offset in product(*(range(i) for i in self._shards)):
+            yield tuple(
+                shard_key_i * shards_i + offset_i
+                for shard_key_i, offset_i, shards_i
+                in zip(shard_key_tuple, chunk_offset, self._shards)
+            )
+
+    def __getitem__(self, key: str) -> bytes:
+        return self.getitems([key])[key]
+
+    def getitems(self, keys: Iterable[str], **kwargs) -> Dict[str, bytes]:
+        result = {}
+        for shard_key, chunks_in_shard in self.__keys_to_shard_groups__(keys).items():
+            # TODO use partial read if available
+            full_shard_value = self._store[shard_key]
+            index = self.__get_index__(full_shard_value)
+            for chunk_key, chunk_subkeys in chunks_in_shard:
+                chunk_slice = index.get_chunk_slice(chunk_subkeys)
+                if chunk_slice is not None:
+                    result[chunk_key] = full_shard_value[chunk_slice]
+        return result
+
+    def __setitem__(self, key: str, value: bytes) -> None:
+        self.setitems({key: value})
+
+    def setitems(self, values: Dict[str, bytes]) -> None:
+        for shard_key, chunks_in_shard in self.__keys_to_shard_groups__(values.keys()).items():
+            all_chunks = set(self.__get_chunks_in_shard(shard_key))
+            chunks_to_set = set(chunk_subkeys for _chunk_key, chunk_subkeys in chunks_in_shard)
+            chunks_to_read = all_chunks - chunks_to_set
+            new_content = {
+                chunk_subkeys: values[chunk_key] for chunk_key, chunk_subkeys in chunks_in_shard
+            }
+            try:
+                # TODO use partial read if available
+                full_shard_value = self._store[shard_key]
+            except KeyError:
+                index = _ShardIndex.create_empty(self)
+            else:
+                index = self.__get_index__(full_shard_value)
+                for chunk_to_read in chunks_to_read:
+                    chunk_slice = index.get_chunk_slice(chunk_to_read)
+                    if chunk_slice is not None:
+                        new_content[chunk_to_read] = full_shard_value[chunk_slice]
+
+            # TODO use partial write if available and possible (e.g. at the end)
+            shard_content = b""
+            # TODO: order the chunks in the shard:
+            for chunk_subkeys, chunk_content in new_content.items():
+                chunk_slice = slice(len(shard_content), len(shard_content) + len(chunk_content))
+                index.set_chunk_slice(chunk_subkeys, chunk_slice)
+                shard_content += chunk_content
+            # Appending the index at the end of the shard:
+            shard_content += index.to_bytes()
+            self._store[shard_key] = shard_content
+
+    def __delitem__(self, key) -> None:
+        # TODO not implemented yet, also delitems
+        # Deleting the "last" chunk in a shard needs to remove the whole shard
+        raise NotImplementedError("Deletion is not yet implemented")
+
+    def __iter__(self) -> Iterator[str]:
+        for shard_key in self._store.__iter__():
+            if any(shard_key.endswith(i) for i in (array_meta_key, group_meta_key, attrs_key)):
+                # Special keys such as ".zarray" are passed on as-is
+                yield shard_key
+            else:
+                # For each shard key in the wrapped store, all corresponding chunks are yielded.
+                # TODO: use partial read if available:
+                index = self.__get_index__(self._store[shard_key])
+                for chunk_tuple in self.__get_chunks_in_shard(shard_key):
+                    if index.get_chunk_slice(chunk_tuple) is not None:
+                        # TODO: if shard is in a group, prepend group-prefix to chunk
+                        yield self._dimension_separator.join(map(str, chunk_tuple))
+
+    def __len__(self) -> int:
+        return sum(1 for _ in self.keys())
+
+
+SHARDED_STORES = {
+    "indexed": IndexedShardedStore,
+}
diff --git a/zarr/_storage/store.py b/zarr/_storage/store.py
index 6f5bf78e28..5347eeb425 100644
--- a/zarr/_storage/store.py
+++ b/zarr/_storage/store.py
@@ -110,6 +110,8 @@ def _ensure_store(store: Any):
 
 
 class Store(BaseStore):
+    # TODO: document methods which allow optimizations,
+    # e.g. delitems, setitems, getitems, listdir, …
     """Abstract store class used by implementations following the Zarr v2 spec.
 
     Adds public `listdir`, `rename`, and `rmdir` methods on top of BaseStore.
diff --git a/zarr/core.py b/zarr/core.py
index 6f6b468e3b..c45fe1b2de 100644
--- a/zarr/core.py
+++ b/zarr/core.py
@@ -5,11 +5,13 @@
 import operator
 import re
 from functools import reduce
+from typing import Optional, Tuple
 
 import numpy as np
 from numcodecs.compat import ensure_bytes, ensure_ndarray
 
 from collections.abc import MutableMapping
+from zarr._storage.sharded_store import SHARDED_STORES
 
 from zarr.attrs import Attributes
 from zarr.codecs import AsType, get_codec
@@ -191,6 +193,9 @@ def __init__(
         self._oindex = OIndex(self)
         self._vindex = VIndex(self)
 
+        # the sharded store is only initialized when needed
+        self._cached_sharded_store = None
+
     def _load_metadata(self):
         """(Re)load metadata from store."""
         if self._synchronizer is None:
@@ -213,6 +218,8 @@ def _load_metadata_nosync(self):
             self._meta = meta
             self._shape = meta['shape']
             self._chunks = meta['chunks']
+            self._shards = meta.get('shards')
+            self._shard_format = meta.get('shard_format')
             self._dtype = meta['dtype']
             self._fill_value = meta['fill_value']
             self._order = meta['order']
@@ -262,9 +269,12 @@ def _flush_metadata_nosync(self):
             filters_config = [f.get_config() for f in self._filters]
         else:
             filters_config = None
+        # Possible (unrelated) bug:
+        # should the dimension_separator also be included in this dict?
         meta = dict(shape=self._shape, chunks=self._chunks, dtype=self._dtype,
                     compressor=compressor_config, fill_value=self._fill_value,
-                    order=self._order, filters=filters_config)
+                    order=self._order, filters=filters_config,
+                    shards=self._shards, shard_format=self._shard_format)
         mkey = self._key_prefix + array_meta_key
         self._store[mkey] = self._store._metadata_class.encode_array_metadata(meta)
 
@@ -309,9 +319,19 @@ def read_only(self, value):
     def chunk_store(self):
         """A MutableMapping providing the underlying storage for array chunks."""
         if self._chunk_store is None:
-            return self._store
+            chunk_store = self._store
+        else:
+            chunk_store = self._chunk_store
+        if self._shards is None:
+            return chunk_store
         else:
-            return self._chunk_store
+            if self._cached_sharded_store is None:
+                self._cached_sharded_store = SHARDED_STORES[self._shard_format](
+                    chunk_store,
+                    shards=self._shards,
+                    dimension_separator=self._dimension_separator,
+                )
+            return self._cached_sharded_store
 
     @property
     def shape(self):
@@ -327,11 +347,17 @@ def shape(self, value):
         self.resize(value)
 
     @property
-    def chunks(self):
+    def chunks(self) -> Optional[Tuple[int, ...]]:
         """A tuple of integers describing the length of each dimension of a
-        chunk of the array."""
+        chunk of the array, or None."""
         return self._chunks
 
+    @property
+    def shards(self):
+        """A tuple of integers describing the number of chunks in each shard
+        of the array."""
+        return self._shards
+
     @property
     def dtype(self):
         """The NumPy data type."""
@@ -1708,7 +1734,7 @@ def _set_selection(self, indexer, value, fields=None):
             check_array_shape('value', value, sel_shape)
 
         # iterate over chunks in range
-        if not hasattr(self.store, "setitems") or self._synchronizer is not None \
+        if not hasattr(self.chunk_store, "setitems") or self._synchronizer is not None \
            or any(map(lambda x: x == 0, self.shape)):
             # iterative approach
             for chunk_coords, chunk_selection, out_selection in indexer:
@@ -1904,6 +1930,7 @@ def _chunk_getitems(self, lchunk_coords, lchunk_selection, out, lout_selection,
             and hasattr(self._compressor, "decode_partial")
             and not fields
             and self.dtype != object
+            # TODO: this should rather check for read_block or similar
             and hasattr(self.chunk_store, "getitems")
         ):
             partial_read_decode = True
@@ -1951,8 +1978,8 @@ def _chunk_setitems(self, lchunk_coords, lchunk_selection, values, fields=None):
         self.chunk_store.setitems(to_store)
 
     def _chunk_delitems(self, ckeys):
-        if hasattr(self.store, "delitems"):
-            self.store.delitems(ckeys)
+        if hasattr(self.chunk_store, "delitems"):
+            self.chunk_store.delitems(ckeys)
         else:  # pragma: no cover
             # exempting this branch from coverage as there are no extant stores
             # that will trigger this condition, but it's possible that they
@@ -2239,6 +2266,7 @@ def digest(self, hashname="sha1"):
 
         h = hashlib.new(hashname)
 
+        # TODO: operate on shards here if available:
         for i in itertools.product(*[range(s) for s in self.cdata_shape]):
             h.update(self.chunk_store.get(self._chunk_key(i), b""))
 
@@ -2365,6 +2393,7 @@ def _resize_nosync(self, *args):
                 except KeyError:
                     # chunk not initialized
                     pass
+        # TODO: collect all chunks do delete and use _chunk_delitems
 
     def append(self, data, axis=0):
         """Append `data` to `axis`.
diff --git a/zarr/creation.py b/zarr/creation.py
index 64c5666adb..fc87363ba5 100644
--- a/zarr/creation.py
+++ b/zarr/creation.py
@@ -1,3 +1,4 @@
+from typing import Tuple, Union
 from warnings import warn
 
 import numpy as np
@@ -19,7 +20,9 @@ def create(shape, chunks=True, dtype=None, compressor='default',
            fill_value=0, order='C', store=None, synchronizer=None,
            overwrite=False, path=None, chunk_store=None, filters=None,
            cache_metadata=True, cache_attrs=True, read_only=False,
-           object_codec=None, dimension_separator=None, write_empty_chunks=True, **kwargs):
+           object_codec=None, dimension_separator=None, write_empty_chunks=True,
+           shards: Union[int, Tuple[int, ...], None] = None,
+           shard_format: str = "indexed", **kwargs):
     """Create an array.
 
     Parameters
@@ -145,7 +148,7 @@ def create(shape, chunks=True, dtype=None, compressor='default',
     init_array(store, shape=shape, chunks=chunks, dtype=dtype, compressor=compressor,
                fill_value=fill_value, order=order, overwrite=overwrite, path=path,
                chunk_store=chunk_store, filters=filters, object_codec=object_codec,
-               dimension_separator=dimension_separator)
+               dimension_separator=dimension_separator, shards=shards, shard_format=shard_format)
 
     # instantiate array
     z = Array(store, path=path, chunk_store=chunk_store, synchronizer=synchronizer,
diff --git a/zarr/meta.py b/zarr/meta.py
index c292b09a14..d63be624d3 100644
--- a/zarr/meta.py
+++ b/zarr/meta.py
@@ -51,6 +51,8 @@ def decode_array_metadata(cls, s: Union[MappingType, str]) -> MappingType[str, A
                 object_codec = None
 
             dimension_separator = meta.get("dimension_separator", None)
+            shards = meta.get("shards", None)
+            shard_format = meta.get("shard_format", None)
             fill_value = cls.decode_fill_value(meta['fill_value'], dtype, object_codec)
             meta = dict(
                 zarr_format=meta["zarr_format"],
@@ -64,6 +66,10 @@ def decode_array_metadata(cls, s: Union[MappingType, str]) -> MappingType[str, A
             )
             if dimension_separator:
                 meta['dimension_separator'] = dimension_separator
+            if shards:
+                meta['shards'] = tuple(shards)
+                assert shard_format is not None
+                meta['shard_format'] = shard_format
         except Exception as e:
             raise MetadataError("error decoding metadata") from e
         else:
@@ -77,6 +83,8 @@ def encode_array_metadata(cls, meta: MappingType[str, Any]) -> bytes:
             dtype, sdshape = dtype.subdtype
 
         dimension_separator = meta.get("dimension_separator")
+        shards = meta.get("shards")
+        shard_format = meta.get("shard_format")
         if dtype.hasobject:
             import numcodecs
             object_codec = numcodecs.get_codec(meta['filters'][0])
@@ -95,9 +103,10 @@ def encode_array_metadata(cls, meta: MappingType[str, Any]) -> bytes:
         )
         if dimension_separator:
             meta['dimension_separator'] = dimension_separator
-
-        if dimension_separator:
-            meta["dimension_separator"] = dimension_separator
+        if shards:
+            meta['shards'] = shards
+            assert shard_format is not None
+            meta['shard_format'] = shard_format
 
         return json_dumps(meta)
 
diff --git a/zarr/storage.py b/zarr/storage.py
index 1dc2cf32b3..45fcced3d7 100644
--- a/zarr/storage.py
+++ b/zarr/storage.py
@@ -54,7 +54,7 @@
 from zarr.util import (buffer_size, json_loads, nolock, normalize_chunks,
                        normalize_dimension_separator,
                        normalize_dtype, normalize_fill_value, normalize_order,
-                       normalize_shape, normalize_storage_path, retry_call)
+                       normalize_shape, normalize_shards, normalize_storage_path, retry_call)
 
 from zarr._storage.absstore import ABSStore  # noqa: F401
 from zarr._storage.store import (_listdir_from_keys,
@@ -236,6 +236,8 @@ def init_array(
     filters=None,
     object_codec=None,
     dimension_separator=None,
+    shards: Union[int, Tuple[int, ...], None] = None,
+    shard_format: Optional[str] = None,
 ):
     """Initialize an array store with the given configuration. Note that this is a low-level
     function and there should be no need to call this directly from user code.
@@ -353,7 +355,8 @@ def init_array(
                          order=order, overwrite=overwrite, path=path,
                          chunk_store=chunk_store, filters=filters,
                          object_codec=object_codec,
-                         dimension_separator=dimension_separator)
+                         dimension_separator=dimension_separator,
+                         shards=shards, shard_format=shard_format)
 
 
 def _init_array_metadata(
@@ -370,6 +373,8 @@ def _init_array_metadata(
     filters=None,
     object_codec=None,
     dimension_separator=None,
+    shards: Union[int, Tuple[int, ...], None] = None,
+    shard_format: Optional[str] = None,
 ):
 
     # guard conditions
@@ -388,6 +393,8 @@ def _init_array_metadata(
     shape = normalize_shape(shape) + dtype.shape
     dtype = dtype.base
     chunks = normalize_chunks(chunks, shape, dtype.itemsize)
+    shards = normalize_shards(shards, shape)
+    shard_format = shard_format or "morton_order"
     order = normalize_order(order)
     fill_value = normalize_fill_value(fill_value, dtype)
 
@@ -445,6 +452,9 @@ def _init_array_metadata(
                 compressor=compressor_config, fill_value=fill_value,
                 order=order, filters=filters_config,
                 dimension_separator=dimension_separator)
+    if shards is not None:
+        meta["shards"] = shards
+        meta["shard_format"] = shard_format
     key = _path_to_prefix(path) + array_meta_key
     if hasattr(store, '_metadata_class'):
         store[key] = store._metadata_class.encode_array_metadata(meta)  # type: ignore
diff --git a/zarr/util.py b/zarr/util.py
index 04d350a68d..3b017b98ca 100644
--- a/zarr/util.py
+++ b/zarr/util.py
@@ -14,7 +14,7 @@
 from numcodecs.registry import codec_registry
 from numcodecs.blosc import cbuffer_sizes, cbuffer_metainfo
 
-from typing import Any, Callable, Dict, Optional, Tuple, Union
+from typing import Any, Callable, Dict, Optional, Tuple, Union, cast
 
 
 def flatten(arg: Iterable) -> Iterable:
@@ -149,6 +149,40 @@ def normalize_chunks(
     return tuple(chunks)
 
 
+def normalize_shards(
+    shards: Union[int, Tuple[Optional[int], ...], None], shape: Tuple[int, ...],
+) -> Optional[Tuple[int, ...]]:
+    """Convenience function to normalize the `shards` argument for an array
+    with the given `shape`."""
+
+    # N.B., expect shape already normalized
+
+    if shards is None:
+        return None
+
+    # handle 1D convenience form
+    if isinstance(shards, numbers.Integral):
+        shards = tuple(int(shards) for _ in shape)
+    shards = cast(Tuple[Optional[int]], shards)
+
+    # handle bad dimensionality
+    if len(shards) > len(shape):
+        raise ValueError('too many dimensions in shards')
+
+    # handle underspecified shards
+    if len(shards) < len(shape):
+        # assume single shards across remaining dimensions
+        shards += (1, ) * (len(shape) - len(shards))
+
+    # handle None or -1 in shards
+    if -1 in shards or None in shards:
+        shards = tuple(s if c == -1 or c is None else int(c)
+                       for s, c in zip(shape, shards))
+
+    shards = cast(Tuple[int], shards)
+    return tuple(shards)
+
+
 def normalize_dtype(dtype: Union[str, np.dtype], object_codec) -> Tuple[np.dtype, Any]:
 
     # convenience API for object arrays
@@ -560,6 +594,7 @@ def __init__(self, store_key, chunk_store):
         # is it fsstore or an actual fsspec map object
         assert hasattr(self.chunk_store, "map")
         self.map = self.chunk_store.map
+        # TODO maybe use partial_read here also
         self.fs = self.chunk_store.fs
         self.store_key = store_key
         self.buff = None