Adeptiv AI is the purpose-built choice for AI governance with automated compliance mapping across 30+ regulations, real-time model monitoring, and audit-ready reporting. DataHub is the leading open-source data catalog for metadata management, data lineage, and federated governance at zero licensing cost. The two tools solve different primary problems and can be deployed together for complete governance coverage.
| Feature | Adeptiv AI | DataHub |
|---|---|---|
| AI Governance Depth | — | — |
| Data Cataloging | — | — |
| Cost of Entry | — | — |
| Compliance Automation | — | — |
| Community & Extensibility | — | — |
| Feature | Adeptiv AI | DataHub |
|---|---|---|
| AI Governance | ||
| AI Model Inventory | Auto-discovers AI models across the organization with risk classification | Not a native feature; metadata can be extended to track ML models manually |
| Regulatory Compliance Mapping | Maps to 30+ regulations including EU AI Act, ISO 42001, NIST AI RMF | No built-in regulatory compliance mapping; governance policies are custom-defined |
| Real-Time Model Monitoring | Drift detection, bias monitoring, and SHAP/LIME fairness testing | Data observability through quality assertions, not model monitoring |
| Risk Scoring | AI-specific risk scoring with configurable thresholds per regulation | No native risk scoring; governance is policy-based rather than score-based |
| Data Governance & Cataloging | ||
| Data Catalog | Not a data cataloging tool; focuses on AI assets only | Full-featured data catalog with search, discovery, and metadata management |
| Data Lineage | Tracks AI model lineage within the governance workflow | Column-level and dataset-level lineage across the full data stack |
| Data Quality | Not applicable; focuses on AI model quality and compliance | Built-in data quality assertions with automated monitoring |
| Compliance & Reporting | ||
| Audit-Ready Reports | Generates compliance reports for regulators and internal auditors | No native audit report generation; metadata can be exported for custom reporting |
| Vendor AI Management | Tracks third-party AI vendor models alongside internal inventory | Not a native feature; third-party tool metadata requires custom integration |
| Deployment & Integration | ||
| Deployment Options | SaaS, private cloud, and on-premises | Self-hosted on Kubernetes (free) or DataHub Cloud (managed) |
| API & Extensibility | Integrations with MLflow, Snowflake, Databricks, GitHub, S3 | GraphQL API, REST API, Python SDK, and custom ingestion plugins |
| Access Control | RBAC with Okta integration for enterprise identity management | RBAC with native policies, domain-based ownership, and group-based access |
AI Model Inventory
Regulatory Compliance Mapping
Real-Time Model Monitoring
Risk Scoring
Data Catalog
Data Lineage
Data Quality
Audit-Ready Reports
Vendor AI Management
Deployment Options
API & Extensibility
Access Control
Adeptiv AI is the purpose-built choice for AI governance with automated compliance mapping across 30+ regulations, real-time model monitoring, and audit-ready reporting. DataHub is the leading open-source data catalog for metadata management, data lineage, and federated governance at zero licensing cost. The two tools solve different primary problems and can be deployed together for complete governance coverage.
Choose Adeptiv AI if:
Choose Adeptiv AI when you deploy AI models in regulated industries and need automated compliance tracking for EU AI Act, ISO 42001, NIST AI RMF, and 30+ other frameworks. Best for enterprises with large AI model inventories that require real-time monitoring, risk scoring, and audit-ready reporting.
Choose DataHub if:
Choose DataHub when your primary governance challenge is discovering, cataloging, and governing data assets across a distributed data stack. Best for organizations that value open-source extensibility, zero licensing cost, and a broad metadata platform covering Snowflake, Databricks, Kafka, Airflow, and dozens of other integrations.
This verdict is based on general use cases. Your specific requirements, existing tech stack, and team expertise should guide your final decision.
Yes, they address complementary concerns. DataHub serves as your data catalog while Adeptiv AI provides AI-specific governance, regulatory compliance mapping, and model monitoring for your ML systems.
The open-source edition under Apache 2.0 is free with no licensing fees or user limits. Costs are limited to Kubernetes infrastructure and engineering time for deployment and maintenance.
Adeptiv AI maps to over 30 regulatory frameworks including ISO 42001, NIST AI RMF, sector-specific regulations in financial services and healthcare, and emerging AI governance standards.
DataHub supports ingestion from Snowflake, BigQuery, Redshift, Databricks, Kafka, Airflow, dbt, Looker, Tableau, PostgreSQL, MySQL, MongoDB, and many more via its Python SDK and GraphQL API.