diff --git a/src/process_data/base.py b/src/process_data/base.py
new file mode 100644
index 0000000..c0c3a87
--- /dev/null
+++ b/src/process_data/base.py
@@ -0,0 +1,17 @@
+# -*- coding: utf-8 -*-
+from abc import ABC, abstractmethod
+from typing import Any
+
+
+class BaseProcessDataInterface(ABC):
+    """
+    Baseclass for data processing interfaces
+    """
+
+    @classmethod
+    @abstractmethod
+    def in_memory(cls, file_name: str) -> Any: ...
+
+    @classmethod
+    @abstractmethod
+    def streaming(cls, file_name: str) -> Any: ...
diff --git a/src/process_data/pandas/main.py b/src/process_data/pandas/main.py
index e0583a0..bed16b3 100644
--- a/src/process_data/pandas/main.py
+++ b/src/process_data/pandas/main.py
@@ -5,19 +5,22 @@
 
 import argparse
 import time
+
 import pandas as pd
 from parallel_pandas import ParallelPandas
 
+from src.process_data.base import BaseProcessDataInterface
+
 
-class PandasThing:
+class PandasInterface(BaseProcessDataInterface):
     """
     Interface for executing pandas transformations.
 
     Use as follows:
-        >> df = PandasThing.in_memory("foo.txt")
+        >> df = PandasInterface.in_memory("foo.txt")
 
     Alternatively, enable parallel processing
-        >> df = PandasThing(parallel = True).in_memory("foo.txt")
+        >> df = PandasInterface(parallel = True).in_memory("foo.txt")
 
     However, initializing with parallel processing won't really affect us,
     since most of our data processing is IO bound.
@@ -70,7 +73,7 @@ def process_chunk(cls, chunk: pd.DataFrame, df_result: pd.DataFrame) -> pd.DataF
         return df_result  # noqa
 
     @classmethod
-    def in_chunks(cls, filename: str, chunksize: int = 1_000_000) -> pd.DataFrame:
+    def streaming(cls, filename: str, chunksize: int = 1_000_000) -> pd.DataFrame:
         """
         Process parts of the file, concat results, and continue
 
@@ -98,7 +101,7 @@ def in_chunks(cls, filename: str, chunksize: int = 1_000_000) -> pd.DataFrame:
     args = parser.parse_args()
 
     start = time.time()
-    df = PandasThing().in_chunks(args.file_name)
+    df = PandasInterface().streaming(args.file_name)
 
     duration = time.time() - start
     print(f"Duration = {duration: .2f}s")
diff --git a/src/process_data/polars/main.py b/src/process_data/polars/main.py
index ec8d402..624ff66 100644
--- a/src/process_data/polars/main.py
+++ b/src/process_data/polars/main.py
@@ -7,13 +7,15 @@
 import time
 import polars as pl
 
+from src.process_data.base import BaseProcessDataInterface
 
-class PolarsThing:
+
+class PolarsInterface(BaseProcessDataInterface):
     """
     Interface for executing polars transformations.
 
     Use as follows:
-        >> df = PolarsThing.in_memory("foo.txt")
+        >> df = PolarsInterface.in_memory("foo.txt")
 
     """
 
@@ -82,7 +84,7 @@ def streaming(cls, filename: str) -> pl.DataFrame:
     args = parser.parse_args()
 
     start = time.time()
-    df = PolarsThing().streaming(args.file_name)
+    df = PolarsInterface().streaming(args.file_name)
 
     duration = time.time() - start
     print(f"Duration = {duration: .2f}s")