
Marquez
The open-source standard for data lineage, metadata collection, and job observability.
The AI-powered platform for data teams to automate data engineering and ensure data quality.
Datafold is an AI-powered platform designed for data teams, focusing on automating data engineering processes and ensuring high data quality. It offers solutions for data platform migrations, optimization, and AI-driven data development. Key features include AI Agents for migrations, optimization, and code reviews, a Data Knowledge Graph for context, Data Diff for comparing datasets, and anomaly detection. Datafold helps reduce data platform costs, accelerates data engineering, and provides end-to-end data quality automation for both human and AI engineers. It's suitable for enterprises seeking to improve data reliability and streamline data workflows.
The AI-powered platform for data teams to automate data engineering and ensure data quality.
Quick visual proof for Datafold. Helps non-technical users understand the interface faster.
Datafold is an AI-powered platform designed for data teams, focusing on automating data engineering processes and ensuring high data quality.
Explore all tools that specialize in data diff analysis. This domain focus ensures Datafold delivers optimized results for this specific requirement.
Explore all tools that specialize in automated suggestion & error detection. This domain focus ensures Datafold delivers optimized results for this specific requirement.
Explore all tools that specialize in automated migration agent. This domain focus ensures Datafold delivers optimized results for this specific requirement.
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Context layer providing lineage, business logic, usage, ontology, and organizational knowledge via MCP (Metadata Change Proposal).
Specialized AI agents for migrations, optimization, and code reviews.
Compare datasets within or across databases with value-level precision at any scale.
Integration with existing data stacks (e.g., Snowflake, Databricks, AWS, GCP, Azure)
Configuration of data sources and pipelines
Setup of data quality rules and anomaly detection thresholds
Training on using AI Agents for migrations and optimization
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The open-source standard for data lineage, metadata collection, and job observability.

The industry standard for real-time metadata collection and cross-platform data lineage.
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