diff --git a/llama_stack/apis/datasets/datasets.py b/llama_stack/apis/datasets/datasets.py
index 32ccde144..8ff3e7d15 100644
--- a/llama_stack/apis/datasets/datasets.py
+++ b/llama_stack/apis/datasets/datasets.py
@@ -176,6 +176,7 @@ class Datasets(Protocol):
                "type": "uri",
                "uri": "huggingface://llamastack/simpleqa?split=train"
            }
+           TODO: Add postgresql example here
            - {
                "type": "rows",
                "rows": [
diff --git a/llama_stack/distribution/routers/routing_tables.py b/llama_stack/distribution/routers/routing_tables.py
index d444b03a3..87984c646 100644
--- a/llama_stack/distribution/routers/routing_tables.py
+++ b/llama_stack/distribution/routers/routing_tables.py
@@ -430,6 +430,8 @@ class DatasetsRoutingTable(CommonRoutingTableImpl, Datasets):
             # infer provider from uri
             if source.uri.startswith("huggingface"):
                 provider_id = "huggingface"
+            elif source.uri.startswith("postgresql"):
+                provider_id = "postgresql"
             else:
                 provider_id = "localfs"
         else:
diff --git a/llama_stack/providers/registry/datasetio.py b/llama_stack/providers/registry/datasetio.py
index f83dcbc60..d9f23a4ef 100644
--- a/llama_stack/providers/registry/datasetio.py
+++ b/llama_stack/providers/registry/datasetio.py
@@ -36,4 +36,18 @@ def available_providers() -> List[ProviderSpec]:
                 config_class="llama_stack.providers.remote.datasetio.huggingface.HuggingfaceDatasetIOConfig",
             ),
         ),
+        remote_provider_spec(
+            api=Api.datasetio,
+            adapter=AdapterSpec(
+                adapter_type="postgresql",
+                pip_packages=[
+#                    "asyncpg",
+#                    "datasets",
+                "psycopg",
+                "psycopg[pool]",
+                ],
+                module="llama_stack.providers.remote.datasetio.postgresql",
+                config_class="llama_stack.providers.remote.datasetio.postgresql.PostgreSQLDatasetIOConfig",
+            ),
+        ),
     ]
diff --git a/llama_stack/providers/remote/datasetio/postgresql/__init__.py b/llama_stack/providers/remote/datasetio/postgresql/__init__.py
new file mode 100644
index 000000000..aef086427
--- /dev/null
+++ b/llama_stack/providers/remote/datasetio/postgresql/__init__.py
@@ -0,0 +1,18 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the terms described in the LICENSE file in
+# the root directory of this source tree.
+
+from .config import PostgreSQLDatasetIOConfig
+
+
+async def get_adapter_impl(
+    config: PostgreSQLDatasetIOConfig,
+    _deps,
+):
+    from .postgresql import PostgreSQLDatasetIOImpl
+
+    impl = PostgreSQLDatasetIOImpl(config)
+    await impl.initialize()
+    return impl
diff --git a/llama_stack/providers/remote/datasetio/postgresql/config.py b/llama_stack/providers/remote/datasetio/postgresql/config.py
new file mode 100644
index 000000000..0eaef9f92
--- /dev/null
+++ b/llama_stack/providers/remote/datasetio/postgresql/config.py
@@ -0,0 +1,40 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the terms described in the LICENSE file in
+# the root directory of this source tree.
+from pydantic import BaseModel, Field
+from typing import Any, Dict
+import os
+
+from llama_stack.providers.utils.kvstore.config import (
+    KVStoreConfig,
+    SqliteKVStoreConfig,
+)
+
+
+class PostgreSQLDatasetIOConfig(BaseModel):
+    kvstore: KVStoreConfig
+
+    pg_host: str = Field(default="localhost")  # os.getenv("POSTGRES_HOST", "127.0.0.1")
+    pg_port: int = Field(default=5432)
+    # TODO - revise secutiry implications of using env vars for user and password
+    pg_user: str = Field(default="postgres")
+    pg_password: str = Field(default="fail")
+    pg_con_pool_size: int = Field(default=3)
+    pg_database: str = Field(default="postgres")
+
+    @classmethod
+    def sample_run_config(cls, __distro_dir__: str, **kwargs: Any) -> Dict[str, Any]:
+        return {
+            "kvstore": SqliteKVStoreConfig.sample_run_config(
+                __distro_dir__=__distro_dir__,
+                db_name="postgresql_datasetio.db",
+            ),
+            "pg_host": os.getenv("POSTGRES_HOST", "127.0.0.1"),
+            "pg_port": os.getenv("POSTGRES_PORT", 5432),
+            "pg_user": os.getenv("POSTGRES_USER", ""),
+            "pg_password": os.getenv("POSTGRES_PASSWORD", ""),
+            "pg_con_pool_size": os.getenv("POSTGRES_CONN_POOL_SIZE", 3),
+            "pg_database": os.getenv("POSTGRES_DATABASE", "postgres"),
+        }
diff --git a/llama_stack/providers/remote/datasetio/postgresql/pg_tools.py b/llama_stack/providers/remote/datasetio/postgresql/pg_tools.py
new file mode 100644
index 000000000..da1f9984a
--- /dev/null
+++ b/llama_stack/providers/remote/datasetio/postgresql/pg_tools.py
@@ -0,0 +1,258 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the terms described in the LICENSE file in
+# the root directory of this source tree.
+
+from llama_stack.apis.datasets import Dataset, DatasetPurpose
+from typing import Dict, List, Optional, Any
+
+import logging
+
+import psycopg_pool
+from psycopg_pool.abc import ACT
+from psycopg import sql
+from urllib.parse import urlparse, parse_qs
+from .config import PostgreSQLDatasetIOConfig
+from typing import AsyncIterator
+
+log = logging.getLogger(__name__)
+
+
+class DatasetColumn:
+    def __init__(self, name: str, is_array: bool):
+        self.name = name
+        self.is_array = is_array
+
+
+class PgConnectionInfo:
+    def __init__(self, host: str, port: int, user: str, password: str, database: str):
+        self.host = host
+        self.port = port
+        self.database = database
+        self.user = user
+        self.password = password
+
+    def __str__(self):
+        return f"host={self.host} port={self.port} dbname={self.database} user={self.user} password={self.password}"
+
+
+def get_mandatory_cols(purpose: DatasetPurpose) -> list[DatasetColumn]:
+    if purpose == DatasetPurpose.post_training_messages:
+        return [DatasetColumn("messages", True)]
+    elif purpose == DatasetPurpose.eval_question_answer:
+        return [DatasetColumn("question", False), DatasetColumn("answer", False)]
+    elif purpose == DatasetPurpose.eval_messages_answer:
+        return [DatasetColumn("messages", True), DatasetColumn("answer", False)]
+    else:
+        raise ValueError(f"Unknown purpose: {purpose}")
+
+
+def get_config_from_uri(uri: str, config: PostgreSQLDatasetIOConfig) -> tuple[PgConnectionInfo, str | None]:
+    parsed = urlparse(uri)
+    # Extract main components
+    if parsed.scheme != "postgresql":
+        raise ValueError(f"Unsupported scheme: {parsed.scheme} (uri: {uri})")
+
+    # uri info has precedence over config info
+    username = parsed.username if parsed.username else config.pg_user
+    password = parsed.password if parsed.password else config.pg_password
+    host = parsed.hostname if parsed.hostname else config.pg_host
+    port = parsed.port if parsed.port else config.pg_port
+    database = parsed.path.lstrip("/")  # Remove leading "/"
+    database = database if database else config.pg_database
+
+    # Extract query parameters
+    raw_query = parsed.query.replace("?", "&")  # Fix multiple question marks
+    query_params = parse_qs(raw_query)
+
+    table = query_params.get("table", [None])[0]  # Extract first value if exists
+    # TODO: read from metadata here?
+    # if table is None:
+    #     raise ValueError(f"Missing table parameter in URI: {uri}")
+
+    return PgConnectionInfo(
+        user=username,
+        password=password,
+        host=host,
+        port=port,
+        database=database,
+    ), table
+
+
+async def create_connection_pool(
+    max_connections: int,
+    info: PgConnectionInfo,
+    min_connections: int = 1,
+) -> psycopg_pool.AsyncConnectionPool:
+    error = False
+    try:
+        pool = psycopg_pool.AsyncConnectionPool(
+            str(info), min_size=min_connections, max_size=max_connections, open=False
+        )
+        await pool.open(wait=True, timeout=10.0)
+    except Exception as e:
+        log.error(f"Failed to create connection pool: {e}")
+        error = True
+        raise
+    finally:
+        if error and pool is not None:
+            await pool.close()
+            pool = None
+    return pool
+
+
+async def check_table_exists(conn: AsyncIterator[ACT], table_name: str) -> bool:
+    try:
+        sql_stmnt = "SELECT EXISTS (SELECT FROM information_schema.tables WHERE table_name = %s)"
+        cur = await conn.execute(sql_stmnt, (table_name,))
+        row = await cur.fetchone()
+        exists = bool(row[0])
+        return exists
+    except Exception as e:
+        log.error(f"Error: {e}")
+        raise
+    finally:
+        await cur.close()
+
+
+async def _get_table_columns(conn: AsyncIterator[ACT], table_name: str) -> List[str]:
+    try:
+        query = sql.SQL("SELECT column_name FROM information_schema.columns WHERE table_name = {table}").format(
+            table=table_name
+        )
+        async with conn.cursor() as cur:
+            await cur.execute(query)
+            table_cols = await cur.fetchall()
+            return [col[0] for col in table_cols]
+    except Exception as e:
+        log.error(f"Error: {e}")
+        raise
+
+
+async def check_schema(conn: AsyncIterator[ACT], table_name: str, purpose: DatasetPurpose) -> None:
+    try:
+        # cur = await conn.execute("SELECT column_name, data_type FROM information_schema.columns WHERE table_name = %s",
+        #                         (table_name,))
+        table_cols = await _get_table_columns(conn, table_name)
+        schema_cols = get_mandatory_cols(purpose)
+        missing_col_names = []
+        for sc in schema_cols:
+            if not any(tc == sc.name for tc in table_cols):
+                log.error(f"Failed to find column {sc.name} in table {table_name} (purpose {purpose})")
+                missing_col_names.append(sc.name)
+            else:
+                # TODO: check type compatibility
+                pass
+
+        if len(missing_col_names) > 0:
+            raise ValueError(f"Could not find column(s) {missing_col_names} in table {table_name} (purpose {purpose})")
+
+    except Exception as e:
+        log.error(f"Error: {e}")
+        raise
+    return
+
+
+def get_table_name(dataset: Dataset) -> str:
+    table_name = str(dataset.metadata.get("table", None))
+    if table_name is None:
+        log.error(f"No table defined for dataset: {dataset.provider_id}({dataset.identifier})")
+        raise ValueError(f"No table defined for dataset: {dataset.identifier}")
+    elif "'" in table_name or '"' in table_name:
+        log.error(f"Table name {table_name} contains quotes - this is ignored for security reasons")
+        raise ValueError(f"Table name {table_name} contains quotes - registration fails for security reasons")
+    return table_name
+
+
+async def check_table_and_schema(ds: Dataset, conn: AsyncIterator[ACT], provider_type: str) -> None:
+    table_name = get_table_name(ds)
+    # Check table existance
+    try:
+        exists = await check_table_exists(conn, table_name)
+        if not exists:
+            log.error(f'Table "{table_name}" does not exist')
+            raise ValueError(
+                f"Table '{table_name}' does not exist in the database, dataset '{ds.identifier}' cannot be registered"
+            )
+    except Exception as e:
+        log.error(f"Error: {e}")
+        raise
+
+    # get and check table schema
+    try:
+        await check_schema(conn, table_name, ds.purpose)
+
+    except Exception as e:
+        log.error(f"Error: {e}")
+        raise
+
+    return
+
+
+def build_select_statement(
+    dataset: Dataset,
+    conn: AsyncIterator[ACT],
+    start_index: Optional[int] = None,
+    limit: Optional[int] = None,
+) -> str:
+    """
+    Build a select statement for the given purpose
+    """
+    params = []
+    stmnt = "SELECT * from {} "
+    params.append(sql.Identifier(dataset.metadata["table"]))
+
+    if dataset.metadata.get("filter", None):
+        stmnt += " WHERE {}"
+        params.append(sql.Literal(dataset.metadata["filter"]))
+
+    if limit is not None:
+        stmnt += " LIMIT {}"
+        params.append(sql.Literal(limit))
+
+    if start_index is not None:
+        stmnt += " OFFSET {}"
+        params.append(sql.Literal(start_index))
+
+    sql_stmnt = sql.SQL(stmnt).format(*params)
+
+    return sql_stmnt
+
+
+async def get_row_count(
+    conn: AsyncIterator[ACT],
+    table_name: str,
+) -> int:
+    """
+    Get the number of rows in the table
+    """
+    try:
+        sql_stmnt = "SELECT COUNT(*) FROM {}"
+        sql_stmnt = sql.SQL(sql_stmnt).format(sql.Identifier(table_name))
+        async with conn.cursor() as cur:
+            await cur.execute(sql_stmnt)
+            row_count = await cur.fetchone()
+            return int(row_count[0])
+    except Exception as e:
+        log.error(f"Error: {e}")
+        return 0
+
+
+async def rows_to_iterrows_response(
+    rows: List[Any],
+    conn: AsyncIterator[ACT],
+    table_name: str,
+) -> List[Dict[str, Any]]:
+    """
+    Convert rows from the database to InterrowsResponse
+    """
+    res = []
+    # cols = get_mandatory_cols(purpose)
+    cols = await _get_table_columns(conn, table_name)
+    for _i, row in enumerate(rows):
+        res_row = {}
+        for i, col in enumerate(cols):
+            res_row[col] = row[i]
+        res.append(res_row)
+    return res
diff --git a/llama_stack/providers/remote/datasetio/postgresql/postgresql.py b/llama_stack/providers/remote/datasetio/postgresql/postgresql.py
new file mode 100644
index 000000000..617fde92f
--- /dev/null
+++ b/llama_stack/providers/remote/datasetio/postgresql/postgresql.py
@@ -0,0 +1,164 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the terms described in the LICENSE file in
+# the root directory of this source tree.
+import logging
+from typing import Any, Dict, List, Optional
+
+from llama_stack.apis.datasetio import DatasetIO, IterrowsResponse
+from llama_stack.apis.datasets import Dataset
+from llama_stack.providers.datatypes import DatasetsProtocolPrivate
+from llama_stack.providers.utils.common.provider_utils import get_provider_type
+from llama_stack.providers.utils.kvstore import KVStore
+
+# from llama_stack.providers.utils.datasetio.url_utils import get_dataframe_from_url
+from llama_stack.providers.utils.kvstore import kvstore_impl
+
+from psycopg_pool import AsyncConnectionPool
+
+from .config import PostgreSQLDatasetIOConfig
+
+#  from .pg_tools import get_config_from_uri, check_table_and_schema, create_connection_pool
+from .pg_tools import get_config_from_uri, check_table_and_schema, create_connection_pool
+from .pg_tools import build_select_statement, get_row_count, rows_to_iterrows_response
+from .pg_tools import get_table_name
+
+log = logging.getLogger(__name__)
+
+DATASETS_PREFIX = "datasets:"
+
+
+class PostgreSQLDatasetIOImpl(DatasetIO, DatasetsProtocolPrivate):
+    def __init__(self, config: PostgreSQLDatasetIOConfig) -> None:
+        self.config = config
+        # local registry for keeping track of datasets within the provider
+        self.dataset_infos: Dict[str, Dataset] = {}
+        self.conn_pools: Dict[str, AsyncConnectionPool] = {}
+        self.row_counts: Dict[str, int] = {}
+        self.kvstore: KVStore | None = None
+
+    async def initialize(self) -> None:
+        self.kvstore = await kvstore_impl(self.config.kvstore)
+        # Load existing datasets from kvstore
+        start_key = DATASETS_PREFIX
+        end_key = f"{DATASETS_PREFIX}\xff"
+        stored_datasets = await self.kvstore.range(start_key, end_key)
+
+        for ds in stored_datasets:
+            dataset = Dataset.model_validate_json(ds)
+            pg_config_info, _ = get_config_from_uri(dataset.source.uri, self.config)
+            self.dataset_infos[dataset.identifier] = dataset
+            try:
+                conn_pool = await create_connection_pool(3, pg_config_info)
+                self.conn_pools[dataset.identifier] = conn_pool
+            except Exception as e:
+                log.error(f"Failed to create connection pool for dataset on initialization {dataset.identifier}: {e}")
+
+    async def shutdown(self) -> None: ...
+
+    async def register_dataset(
+        self,
+        dataset_def: Dataset,
+    ) -> None:
+        # Store in kvstore
+        provider_type = get_provider_type(self.__module__)
+        if self.dataset_infos.get(dataset_def.identifier):
+            log.error(
+                f"Failed to register dataset {dataset_def.identifier}. " + "Dataset with this name alreadt exists"
+            )
+            raise ValueError(f"Dataset {dataset_def.identifier} already exists")
+
+        pg_connection_info, table = get_config_from_uri(dataset_def.source.uri, self.config)
+        tbmd = dataset_def.metadata.get("table", None)
+        if table is not None:
+            # Uri setting overrides metadata setting
+            dataset_def.metadata["table"] = table  ## logging table for future use.
+
+        if tbmd and table and tbmd != table:
+            log.warning(
+                f"Table name mismatch for dataset {dataset_def.identifier}: metadata:{tbmd} != uri:{table}, using {table}"
+            )
+        elif get_table_name(dataset_def) is None:  # should have been set by now
+            log.error(
+                f"No table defined for dataset: {provider_type}::{dataset_def.provider_id}({dataset_def.identifier})"
+            )
+            raise ValueError(f"No table defined for dataset {dataset_def.identifier}")
+
+        try:
+            pool = await create_connection_pool(3, pg_connection_info)
+            async with pool.connection() as conn:
+                await check_table_and_schema(dataset_def, conn, provider_type)
+        except ValueError:
+            # these are already logged in check_table_and_schema
+            raise
+        except Exception as e:
+            log.error(f"Error: {e}")
+            raise
+
+        key = f"{DATASETS_PREFIX}{dataset_def.identifier}"
+
+        await self.kvstore.set(
+            key=key,
+            value=dataset_def.model_dump_json(),
+        )
+        self.dataset_infos[dataset_def.identifier] = dataset_def
+        self.conn_pools[dataset_def.identifier] = pool
+
+    async def unregister_dataset(self, dataset_id: str) -> None:
+        if self.conn_pools[dataset_id] is not None:
+            await self.conn_pools[dataset_id].close()
+            del self.conn_pools[dataset_id]
+        key = f"{DATASETS_PREFIX}{dataset_id}"
+        await self.kvstore.delete(key=key)
+        del self.dataset_infos[dataset_id]
+
+    async def iterrows(
+        self,
+        dataset_id: str,
+        start_index: Optional[int] = None,
+        limit: Optional[int] = None,
+    ) -> IterrowsResponse:
+        if start_index is not None and start_index < 0:
+            raise ValueError(f"start_index ({start_index}) must be a non-negative integer")
+
+        dataset_def = self.dataset_infos[dataset_id]
+        pool = self.conn_pools[dataset_id]
+        if pool is None:  # Retry to crate connection pool
+            try:
+                pg_config_info, _ = get_config_from_uri(dataset_def.source.uri, self.config)
+                pool = await create_connection_pool(3, pg_config_info)
+                self.conn_pools[dataset_def.identifier] = pool
+            except Exception as e:
+                log.error(f"Failed to create connection pool for dataset {dataset_def.identifier}: {e}")
+                raise
+
+        try:
+            async with pool.connection() as conn:
+                await pool._check_connection(conn)
+                stmnt = build_select_statement(dataset_def, conn, start_index=start_index, limit=limit)
+                if self.row_counts.get(dataset_def.identifier) is None or start_index is None or start_index < 3:
+                    # get row count only once per iteration
+                    self.row_counts[dataset_def.identifier] = await get_row_count(conn, get_table_name(dataset_def))
+                async with conn.cursor() as cur:
+                    await cur.execute(stmnt)
+                    rows = await cur.fetchall()
+                    data = await rows_to_iterrows_response(rows, conn, get_table_name(dataset_def))
+        except Exception as e:
+            log.error(f"Error: {e}")
+            raise
+
+        begin = 0 if start_index is None else start_index
+        end = begin + len(data)
+
+        return IterrowsResponse(
+            data=data,
+            next_start_index=end if end < self.row_counts[dataset_def.identifier] else None,
+        )
+
+        # TODO: Implement filtering
+
+    async def append_rows(self, dataset_id: str, rows: List[Dict[str, Any]]) -> None:
+        # This inteface is not implemented in the DatasetsResource class and is not
+        # accessible via the client.
+        raise NotImplementedError("Uploading to postgresql dataset is not supported yet")
diff --git a/llama_stack/providers/utils/common/provider_utils.py b/llama_stack/providers/utils/common/provider_utils.py
new file mode 100644
index 000000000..8a4131f51
--- /dev/null
+++ b/llama_stack/providers/utils/common/provider_utils.py
@@ -0,0 +1,15 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the terms described in the LICENSE file in
+# the root directory of this source tree.
+
+
+def get_provider_type(module: str) -> str:
+    parts = module.split(".")
+    if parts[0] != "llama_stack" or parts[1] != "providers":
+        raise ValueError(f"Invalid module name <{module}>")
+    if parts[2] == "inline" or parts[2] == "remote":
+        return parts[2]
+    else:
+        raise ValueError(f"Invalid module name <{module}>")