Shyft Score
Directory quality rating
Our take
Datafold automates data quality assurance with anomaly detection and lineage tracking. Ideal for data teams managing multiple warehouses or complex pipelines.
Best for: Data teams looking to automate manual and repetitive tasks
Request a demo to evaluate Datafold for your team.
See how Datafold fits your stackBenefits
Catch data quality issues before they impact your business decisions
Reduce manual data validation work by up to 80%
Quickly trace data problems back to their source with visual lineage maps
Get instant alerts when anomalies appear in your data pipelines
About
Datafold automates data engineering workflows with AI-driven quality checks and anomaly detection. It integrates with data warehouses, visualizes data lineage for compliance, and includes collaboration tools to help data teams maintain data accuracy and trust.
Automated data quality checks
Data lineage visualization
Collaboration tools for data teams
Integration with popular data warehouses
AI-driven anomaly detection
Use cases
Detect data quality issues and anomalies automatically
Track data lineage for regulatory compliance
Automate testing in ETL and dbt pipelines
Collaborate on data projects and incidents
Reduce manual data validation work
Best for
Pricing
Datafold starts at $49/mo
Starting at $49/mo
Ecosystem
MCP servers, AI skills, and integrations that work with Datafold
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FAQs
Common questions about Datafold and its capabilities
Datafold is a data-integration tool that automates data engineering tasks with AI. It helps data engineers by providing automated data quality checks, data lineage visualization, and AI-driven anomaly detection, ensuring data reliability and streamlining workflows.
Our team can help you integrate Datafold with your existing tools and build custom automation workflows.
Pulse delivers data-specific AI insights every week. Free.
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