Datafold | Automate Data Engineering — AI-Powered Migrations, Optimization & Development
Migration as an outcome
AI-powered code translation combined with automated data validation, delivered as a service.
Guaranteed price, timeline & quality
Transparent pricing based on # of objects, timeline and quality contractually ensured.
Lift & shift or modernize at the same speed
The Migration Agent deeply understands your pipelines, code, and data semantics via the Data Knowledge Graph — enabling optimization and remodeling during the migration.
The Datafold process — translating with the right LLM, validating the results, and letting humans review what falls out — is how I'd recommend every migration be done. It's faster, more accurate, and eliminates many sources of human error, especially in the complex final reporting layer where mistakes matter most.
The context layer and tools that make your AI coding agents reliable
Data Knowledge Graph
The context layer that serves lineage, business logic, usage, ontology, and organizational knowledge via MCP. Without it, even the best agents produce unreliable output.
Data Quality Tools
Data Diff and monitors exposed via MCP so your coding agents can validate their own work, reconcile data across sources, and debug production issues.
Security & Governance
Single Tenant / VPC Deployment +
SOC 2 & HIPAA Compliance +
“No question, I would recommend Datafold for any large-scale migration. We migrated 5000+ tables from Redshift to Snowflake 6 months faster than planned with 100% parity.”
“Seeing statistics and visualizations on how new model data compares to existing model data makes it easy to verify our migration SLAs with stakeholders. We saved 900+ hours in our migration to Snowflake.”
Adam Underwood
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Staff Analytics Engineer, Eventbrite
“Datafold helps you find the hidden changes you didn’t know you made to your data, helping you if they’re unintended or understanding what’s causing them.”
Zachary Baustein
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Lead Product Analyst, Rocket Money