Data Knowledge Graph
The context layer that makes your AI agents effective for data engineering by serving lineage, business logic, usage, and organizational knowledge via MCP.
What it does
The context layer that makes your AI agents effective for data engineering by serving lineage, business logic, usage, and organizational knowledge via MCP.
- AI-powered data platform migrations
- Data quality testing in CI/CD
- Cross-system data reconciliation
- Anomaly detection and monitoring
- AI agent integrations via MCP
- Category
- Data quality and observability
- Users
- Data teams, System integrators, Warehouse partners
- Public API
- Not offered
Not yet disclosed: deployment options, platforms, languages and support channels.
Pricing
Pricing isn't published
Datafold doesn't list prices publicly. Ask them for a quote.
Security and compliance
As reported by Datafold. Ask for audit reports before you buy.
- SOC 2Compliant
- Pentest ReportCompliant
- HIPAACompliant
- Audit Logging
- Data Backups
- Data Erasure
- Email Protection
- Employee Training
- Incident Response
- Encryption
- Access Control
- Credential Management
- Code Analysis
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