Best 6 Tools for Building Data Pipelines in 2025

Keboola is a comprehensive data platform that handles your entire data stack as a service. Instead of managing separate tools for extraction, transformation, storage, and orchestration, everything works together in one integrated environment. The platform connects to virtually any data source through its extensive library of 700+ native connectors and API integrations.

Prefect is a Python-based workflow management system that turns regular functions into production-ready data pipelines. You write your code in normal Python, add a few simple markers (called decorators), and Prefect handles the scheduling, monitoring, and error recovery automatically.

Dagster is a tool that helps organize and run your data workflows automatically. Think of it as a smart manager for all your data tasks. Instead of manually running scripts or remembering which files depend on others, Dagster handles this for you.

Apache Airflow is a tool that helps you create and manage automated workflows for processing data. Think of it as a smart coordinator that runs your tasks in the right order, at the right time, and handles problems when they occur.

Kestra is a workflow orchestration platform that turns your tasks and processes into automated workflows. Think of it like creating a recipe: you list what needs to happen and when, and Kestra makes sure everything runs in the right order at the right time.

Mage AI is a comprehensive data pipeline orchestration platform designed to simplify how teams build, deploy, and manage data workflows. Think of it as a smart workspace that combines notebook-style development with powerful automation features.