Mage is an open-source data pipeline tool designed for seamless data transformation and integration without the complexities. Positioned as a modern replacement for Airflow, Mage allows effortless integration and synchronization of data from third-party sources. Users can build both real-time and batch pipelines, utilizing Python, SQL, and R for data transformation.
With the capability to run, monitor, and orchestrate thousands of pipelines, Mage ensures efficient data plumbing without causing sleepless nights. Mage prioritizes an easy developer experience, offering a simple local development start with a single command or launching a cloud-based dev environment using Terraform.