feast-dev
diff --git a/‎docs/reference/offline-stores/hybrid.md
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diff --git a/‎sdk/python/feast/data_source.py
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diff --git a/‎sdk/python/feast/infra/offline_stores/bigquery_source.py
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diff --git a/‎sdk/python/feast/infra/offline_stores/contrib/athena_offline_store/athena_source.py
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diff --git a/‎sdk/python/feast/infra/offline_stores/contrib/clickhouse_offline_store/clickhouse_source.py
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diff --git a/‎sdk/python/feast/infra/offline_stores/contrib/couchbase_offline_store/couchbase_source.py
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diff --git a/‎sdk/python/feast/infra/offline_stores/contrib/mssql_offline_store/mssqlserver_source.py
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diff --git a/‎sdk/python/feast/infra/offline_stores/contrib/postgres_offline_store/postgres_source.py
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diff --git a/‎sdk/python/feast/infra/offline_stores/contrib/spark_offline_store/spark_source.py
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diff --git a/‎sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/trino_source.py
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@@ -0,0 +1,94 @@
+# Hybrid Offline Store
+
+## Description
+The HybridOfflineStore allows routing offline feature operations to different offline store backends based on the `batch_source` of the FeatureView. This enables a single Feast deployment to support multiple offline store backends, each configured independently and selected dynamically at runtime.
+
+## Getting started
+To use the HybridOfflineStore, install Feast with all required offline store dependencies (e.g., BigQuery, Snowflake, etc.) for the stores you plan to use. For example:
+
+```bash
+pip install 'feast[spark,snowflake]'
+```
+
+## Example
+
+{% code title="feature_store.yaml" %}
+```yaml
+project: my_feature_repo
+registry: data/registry.db
+provider: local
+offline_store:
+  type: hybrid_offline_store.HybridOfflineStore
+  offline_stores:
+    - type: spark
+      conf:
+        spark_master: local[*]
+        spark_app_name: feast_spark_app
+    - type: snowflake
+      conf:
+        account: my_snowflake_account
+        user: feast_user
+        password: feast_password
+        database: feast_database
+        schema: feast_schema
+```
+{% endcode %}
+
+### Example FeatureView 
+```python
+from feast import FeatureView, Entity, ValueType
+from feast.infra.offline_stores.contrib.spark_offline_store.spark_source import (
+    SparkSource,
+)
+from feast.infra.offline_stores.snowflake_source import SnowflakeSource
+
+
+entity = Entity(name="user_id", value_type=ValueType.INT64, join_keys=["user_id"])
+feature_view1 = FeatureView(
+    name="user_features",
+    entities=["user_id"],
+    ttl=None,
+    features=[
+        # Define your features here
+    ],
+    source=SparkSource(
+        path="s3://my-bucket/user_features_data",
+    ),
+)
+
+feature_view2 = FeatureView(
+    name="user_activity",
+    entities=["user_id"],
+    ttl=None,
+    features=[
+        # Define your features here
+    ],
+    source=SnowflakeSource(
+        path="s3://my-bucket/user_activity_data",
+    ),
+)
+
+```
+
+Then you can use materialize API to materialize the data from the specified offline store based on the `batch_source` of the FeatureView.
+
+```python
+from feast import FeatureStore
+store = FeatureStore(repo_path=".")
+store.materialize(
+    start_date="2025-01-01",
+    end_date="2025-07-31",
+    feature_views=[feature_view1, feature_view2],
+)
+```
+
+## Functionality Matrix
+| Feature/Functionality                             | Supported                  |
+|---------------------------------------------------|----------------------------|
+| pull_latest_from_table_or_query                   | Yes                        |
+| pull_all_from_table_or_query                      | Yes                        |
+| offline_write_batch                               | Yes                        |
+| validate_data_source                              | Yes                        |
+| get_table_column_names_and_types_from_data_source | Yes                        |
+| write_logged_features                             | No                         |
+| get_historical_features                           | Only with same data source |
@@ -163,6 +163,16 @@ def to_proto(self) -> DataSourceProto.KinesisOptions:
     DataSourceProto.SourceType.PUSH_SOURCE: "feast.data_source.PushSource",
 }
 
+_DATA_SOURCE_FOR_OFFLINE_STORE = {
+    DataSourceProto.SourceType.BATCH_FILE: "feast.infra.offline_stores.dask.DaskOfflineStore",
+    DataSourceProto.SourceType.BATCH_BIGQUERY: "feast.infra.offline_stores.bigquery.BigQueryOfflineStore",
+    DataSourceProto.SourceType.BATCH_REDSHIFT: "feast.infra.offline_stores.redshift.RedshiftOfflineStore",
+    DataSourceProto.SourceType.BATCH_SNOWFLAKE: "feast.infra.offline_stores.snowflake.SnowflakeOfflineStore",
+    DataSourceProto.SourceType.BATCH_TRINO: "feast.infra.offline_stores.contrib.trino_offline_store.trino.TrinoOfflineStore",
+    DataSourceProto.SourceType.BATCH_SPARK: "feast.infra.offline_stores.contrib.spark_offline_store.spark.SparkOfflineStore",
+    DataSourceProto.SourceType.BATCH_ATHENA: "feast.infra.offline_stores.contrib.athena_offline_store.athena.AthenaOfflineStore",
+}
+
 
 @typechecked
 class DataSource(ABC):
@@ -401,6 +411,9 @@ def _set_timestamps_in_proto(self, data_source_proto: DataSourceProto):
                 self.last_updated_timestamp
             )
 
+    @abstractmethod
+    def source_type(self) -> DataSourceProto.SourceType.ValueType: ...
+
 
 @typechecked
 class KafkaSource(DataSource):
@@ -564,6 +577,9 @@ def source_datatype_to_feast_value_type() -> Callable[[str], ValueType]:
     def get_table_query_string(self) -> str:
         raise NotImplementedError
 
+    def source_type(self) -> DataSourceProto.SourceType.ValueType:
+        return DataSourceProto.STREAM_KAFKA
+
 
 @typechecked
 class RequestSource(DataSource):
@@ -679,6 +695,9 @@ def get_table_query_string(self) -> str:
     def source_datatype_to_feast_value_type() -> Callable[[str], ValueType]:
         raise NotImplementedError
 
+    def source_type(self) -> DataSourceProto.SourceType.ValueType:
+        return DataSourceProto.REQUEST_SOURCE
+
 
 @typechecked
 class KinesisSource(DataSource):
@@ -811,6 +830,9 @@ def _to_proto_impl(self) -> DataSourceProto:
 
         return data_source_proto
 
+    def source_type(self) -> DataSourceProto.SourceType.ValueType:
+        return DataSourceProto.STREAM_KINESIS
+
 
 class PushMode(enum.Enum):
     ONLINE = 1
@@ -911,3 +933,6 @@ def get_table_query_string(self) -> str:
     @staticmethod
     def source_datatype_to_feast_value_type() -> Callable[[str], ValueType]:
         raise NotImplementedError
+
+    def source_type(self) -> DataSourceProto.SourceType.ValueType:
+        return DataSourceProto.PUSH_SOURCE
@@ -23,6 +23,9 @@
 class BigQuerySource(DataSource):
     """A BigQuerySource object defines a data source that a BigQueryOfflineStore class can use."""
 
+    def source_type(self) -> DataSourceProto.SourceType.ValueType:
+        return DataSourceProto.BATCH_BIGQUERY
+
     def __init__(
         self,
         *,
 
@@ -17,6 +17,9 @@
 
 
 class AthenaSource(DataSource):
+    def source_type(self) -> DataSourceProto.SourceType.ValueType:
+        return DataSourceProto.BATCH_ATHENA
+
     def __init__(
         self,
         *,
 
@@ -56,6 +56,10 @@ def to_proto(self) -> DataSourceProto.CustomSourceOptions:
 
 
 class ClickhouseSource(DataSource):
+    def source_type(self) -> DataSourceProto.SourceType.ValueType:
+        # TODO: Add ClickhouseSourceType to DataSourceProto
+        return DataSourceProto.CUSTOM_SOURCE
+
     def __init__(
         self,
         name: Optional[str] = None,
 
@@ -26,6 +26,10 @@
 class CouchbaseColumnarSource(DataSource):
     """A CouchbaseColumnarSource object defines a data source that a CouchbaseColumnarOfflineStore class can use."""
 
+    def source_type(self) -> DataSourceProto.SourceType.ValueType:
+        # TODO: Add Couchbase to DataSourceProto.SourceType
+        return DataSourceProto.CUSTOM_SOURCE
+
     def __init__(
         self,
         name: Optional[str] = None,
 
@@ -113,6 +113,10 @@ def to_proto(self) -> DataSourceProto.CustomSourceOptions:
 class MsSqlServerSource(DataSource):
     """A MsSqlServerSource object defines a data source that a MsSqlServerOfflineStore class can use."""
 
+    def source_type(self) -> DataSourceProto.SourceType.ValueType:
+        # TODO: Add MsSqlServerSource to DataSourceProto.SourceType
+        return DataSourceProto.CUSTOM_SOURCE
+
     def __init__(
         self,
         name: str,
 
@@ -20,6 +20,10 @@
 class PostgreSQLSource(DataSource):
     """A PostgreSQLSource object defines a data source that a PostgreSQLOfflineStore class can use."""
 
+    def source_type(self) -> DataSourceProto.SourceType.ValueType:
+        # TODO: Add Postgres to DataSourceProto.SourceType
+        return DataSourceProto.CUSTOM_SOURCE
+
     def __init__(
         self,
         name: Optional[str] = None,
 
@@ -31,6 +31,9 @@ class SparkSourceFormat(Enum):
 class SparkSource(DataSource):
     """A SparkSource object defines a data source that a Spark offline store can use"""
 
+    def source_type(self) -> DataSourceProto.SourceType.ValueType:
+        return DataSourceProto.BATCH_SPARK
+
     def __init__(
         self,
         *,
 
@@ -86,6 +86,9 @@ def to_proto(self) -> DataSourceProto.TrinoOptions:
 class TrinoSource(DataSource):
     """A TrinoSource object defines a data source that a TrinoOfflineStore class can use."""
 
+    def source_type(self) -> DataSourceProto.SourceType.ValueType:
+        return DataSourceProto.BATCH_TRINO
+
     def __init__(
         self,
         *,