Amphi ETL

Visual low-code data pipeline and ETL automation.

Free

Description

Amphi ETL empowers users to create and automate data transformation workflows with an intuitive visual interface, simplifying the development and maintenance of ETL pipelines. This open-source solution supports self-hosted deployment, ensuring data privacy by processing information locally and never transferring data to external servers.

Designed for flexibility, Amphi ETL enables seamless integration with various data sources such as files and databases, and generates native Python code that can be deployed across different environments. Its community-driven approach and hybrid architecture make it a robust choice for data professionals looking to streamline data operations without vendor lock-in.

Key Features

Visual Pipeline Builder: Design data workflows with an intuitive low-code interface
Python Code Generation: Export pipelines as native Python code for flexibility
Local Data Processing: All data is processed on premises, ensuring privacy and control
Self-Service Data Preparation: Easily integrate, transform, and cleanse data from files and databases
Open Source and Self-Hosted: Free to use and deploy in any environment
Hybrid Deployment: Run pipelines on-premises, in the cloud, or across environments
Community-Driven Collaboration: Pipeline definitions stored as files for easy sharing
AI-Native Integration: Designed to support generative AI and advanced AI workflows