Datafold
Automate Data Engineering — AI-Powered Migrations, Optimization & Development
Datafold is a data engineering automation platform that addresses the complexity of data migrations, code optimization, and data quality management. It solves the problem of unreliable, manual data engineering workflows by providing specialized AI agents and tools that automate these tasks, reducing human error and speeding up delivery.
The platform features a Data Knowledge Graph that provides context such as lineage, business logic, and usage, which is exposed via the Model Context Protocol (MCP) for integration with AI coding agents. Its core capabilities include a Migration Agent for automated code translation and data validation, and Data Quality Tools like data diffing and monitors that allow agents to validate their own work. The platform supports governed LLM inference and can be deployed in a single-tenant VPC on AWS, GCP, or Azure, with SOC 2 and HIPAA compliance.
Datafold is designed for data and analytics engineering teams. It is packaged with a pricing model based on the number of objects for migrations, with guaranteed price, timeline, and quality. A demo is available to learn more, but specific details on free plans, trials, or seat-based pricing are not provided on the pages.
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