diff --git a/README.md b/README.md
index 928a117..2489a90 100644
--- a/README.md
+++ b/README.md
@@ -7,8 +7,8 @@ This Open Source project is build by B-Open - https://www.bopen.eu
 xarray-ecmwf is a Python library and [Xarray](https://docs.xarray.dev) backend with the following functionalities:
 
 - opens an ECMWF style request as a Xarray Dataset connected to the remote services
-  - the [Climate Data Store](https://cds.climate.copernicus.eu) via [cdsapi](https://github.com/ecmwf/cdsapi): ERA5, Seasonal forecasts
-  - the [Athospheric Data Store](https://ads.atmosphere.copernicus.eu) via cdsapi
+  - the [Climate Data Store](https://cds.climate.copernicus.eu) via [ecmwf-datastores-client](https://github.com/ecmwf/ecmwf-datastores-client): ERA5, Seasonal forecasts
+  - the [Atmospheric Data Store](https://ads.atmosphere.copernicus.eu) via ecmwf-datastores-client
   - the [ECMWF Open data](https://www.ecmwf.int/en/forecasts/datasets/open-data) via [ecmwf-opendata](https://github.com/ecmwf/ecmwf-opendata): High resolution forecasts, ensemble forecast
 - allows lazy loading the data and well integrated with [Dask](https://www.dask.org) and [Dask.distributed](https://distributed.dask.org)
 - allows chunking the input request according to a configurable splitting strategy. Allowed strategies:
diff --git a/ci/environment-integration.yml b/ci/environment-integration.yml
index 810ab03..fcfc5ca 100644
--- a/ci/environment-integration.yml
+++ b/ci/environment-integration.yml
@@ -7,8 +7,8 @@ dependencies:
 - pytest
 - pytest-cov
 # DO NOT EDIT ABOVE THIS LINE, ADD DEPENDENCIES BELOW
-- cdsapi
 - ecmwf-api-client
+- ecmwf-datastores-client
 - ecmwf-opendata
 - pandas-stubs
 - pip
diff --git a/environment.yml b/environment.yml
index 2662f34..0f71e12 100644
--- a/environment.yml
+++ b/environment.yml
@@ -9,8 +9,8 @@ channels:
 # DO NOT EDIT ABOVE THIS LINE, ADD DEPENDENCIES BELOW AS SHOWN IN THE EXAMPLE
 dependencies:
 - attrs
-- cdsapi
 - cfgrib
+- ecmwf-datastores-client
 - ecmwf-opendata
 - pip
 - xarray
diff --git a/pyproject.toml b/pyproject.toml
index 65bce00..8ee2a62 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -12,8 +12,8 @@ classifiers = [
   "Programming Language :: Python :: 3.11",
   "Topic :: Scientific/Engineering"
 ]
-dependencies = ["cdsapi", "cfgrib", "ecmwf-opendata", "polytope-client", "xarray"]
-description = "Xarray backend to access data via the cdsapi package"
+dependencies = ["cfgrib", "ecmwf-datastores-client", "ecmwf-opendata", "polytope-client", "xarray"]
+description = "Xarray backend to access ECMWF datastores"
 dynamic = ["version"]
 license = {file = "LICENSE"}
 name = "xarray-ecmwf"
@@ -32,7 +32,6 @@ strict = true
 [[tool.mypy.overrides]]
 ignore_missing_imports = true
 module = [
-  "cdsapi",
   "cf2cdm",
   "ecmwf",
   "ecmwf.opendata",
diff --git a/xarray_ecmwf/client_cdsapi.py b/xarray_ecmwf/client_cdsapi.py
index 0ce1cdd..db56c4c 100644
--- a/xarray_ecmwf/client_cdsapi.py
+++ b/xarray_ecmwf/client_cdsapi.py
@@ -3,7 +3,7 @@
 from typing import Any
 
 import attrs
-import cdsapi
+import ecmwf.datastores
 import numpy as np
 import xarray as xr
 
@@ -16,13 +16,13 @@
 
 @attrs.define
 class CdsapiRequestClient:
-    client_kwargs: dict[str, Any] = {"quiet": True, "retry_max": 1}
+    client_kwargs: dict[str, Any] = {"maximum_tries": 1}
 
     def submit_and_wait_on_result(self, request: dict[str, Any]) -> Any:
         request = request.copy()
         dataset = request.pop("dataset")
-        client = cdsapi.Client(**self.client_kwargs)
-        return client.retrieve(dataset, request | {"format": "grib"})
+        client = ecmwf.datastores.Client(**self.client_kwargs)
+        return client.submit_and_wait_on_results(dataset, request | {"format": "grib"})
 
     def get_filename(self, result: Any) -> str:
         return result.location.split("/")[-1]  # type: ignore
diff --git a/xarray_ecmwf/engine_ecmwf.py b/xarray_ecmwf/engine_ecmwf.py
index ef3e89a..a270abc 100644
--- a/xarray_ecmwf/engine_ecmwf.py
+++ b/xarray_ecmwf/engine_ecmwf.py
@@ -108,7 +108,7 @@ def retrieve_once(
         if not os.path.isdir(self.cache_folder):
             os.makedirs(self.cache_folder, exist_ok=True)
 
-        with xr.backends.locks.get_write_lock(f"{HOSTNAME}-grib"):  # type: ignore
+        with xr.backends.locks.get_write_lock(f"{HOSTNAME}-grib"):
             if not os.path.exists(path):
                 robust_save_to_file(self.request_client.download, (result,), path)
         ds = self.open_dataset(path)
@@ -142,7 +142,7 @@ def cached_empty_dataset(self, request: dict[str, Any]) -> Iterator[xr.Dataset]:
         if not os.path.exists(path):
             with self.retrieve(request) as read_ds:
                 # check again as the retrieve may be long
-                with xr.backends.locks.get_write_lock(f"{HOSTNAME}-zarr"):  # type: ignore
+                with xr.backends.locks.get_write_lock(f"{HOSTNAME}-zarr"):
                     if not os.path.exists(path):
                         # NOTE: be sure that read_ds is chunked so compute=False only
                         #   writes the metadata. Some open_dataset