Mage Ai

Mage AI is an AI data engineering platform for running production data pipelines. It describes itself as putting pipelines on autopilot: it checks data quality, diagnoses and recovers from failures, and optimizes performance as data grows. Users can describe what they need and have AI create a scheduled pipeline with code and tests, or build pipelines in a visual editor with Python, SQL, R and dbt blocks. Connectors move data between databases, warehouses, files and business applications, with standard, premium and custom sources and destinations. The vendor highlights self healing pipelines that apply safe fixes, automated validation that catches bad records before they reach dashboards, and optimization that replaces slow code, such as row by row processing, with faster equivalents. Data can also be explored, charted and prepared as context for AI agents. Mage has an open source project that managed plans build on. It is aimed at data engineers and teams automating data integration, modernizing legacy SQL and spreadsheet workflows, and supplying agents with reliable business data. There is a 7 day free trial with no credit card required. Starter is $29 per month with one developer seat and 50 AI credits. Team is $100 per month with up to 10 seats and 250 shared AI credits. Both add $0.50 per CPU hour. Enterprise offers private and hybrid deployment with custom pricing.