About Datafold
Datafold is an AI powered platform for data engineering teams that automates migration, optimization and code review. Its specialized agents work on data pipelines, and it also supplies tools that make AI coding agents more reliable on data work.
The Migration Agent translates code between data platforms using an LLM and then validates the results with automated data diffing, leaving humans to review only what differs. It draws on a Data Knowledge Graph that holds lineage, business logic, usage and organizational knowledge, which supports optimizing and remodeling during a migration as well as lift and shift moves. The same graph and the Data Diff and monitoring tools are exposed through MCP so coding agents can validate their own work, reconcile data across sources and debug production issues. Migration is offered as an outcome, delivered as a service, with a stated guaranteed price, timeline and quality.
Datafold is aimed at data engineering teams moving warehouses, for example Redshift to Snowflake, and teams that want automated testing across their workflows. Deployment can be single tenant or inside a customer's own VPC on AWS, GCP or Azure, with SOC 2 and HIPAA compliance, and LLM inference can use endpoints the customer's security team has approved.
Pricing is not published as a plan list. Migration pricing is described as based on the number of objects, the timeline and the quality commitment, and pricing discussions happen through a requested demo.