Adeptiv AI wins on AI-specific governance depth with automated compliance and model monitoring. Alation wins on data intelligence breadth with proven cataloging, lineage, and stewardship. Most large enterprises will benefit from both.
| Feature | Adeptiv AI | Alation |
|---|---|---|
| AI Governance Depth | — | — |
| Data Cataloging | — | — |
| Pricing Transparency | Adeptiv AI offers tiered enterprise pricing based on user seats and AI use cases managed: - **30-Day Free Trial**: 1 user seat, 2 AI use cases, full feature access, SaaS deployment - **Starter**: Up to 10 users, up to 20 AI use cases, SaaS deployment — contact sales for pricing - **Private Cloud Enterprise**: Custom user count, custom AI use cases, private cloud deployment — contact sales for pricing - **On-Premises Enterprise**: Unlimited users, custom AI use cases, on-premises deployment — contact sales for pricing Annual prepayment discount: 15-20%. No setup fees for SaaS plans; implementation costs may apply for private cloud and on-premises deployments. | Base subscription starting at $60,000–$198,000/year, user licenses (e.g., 25 Creator seats at $198,000/year), connectors and add-ons incur additional costs, professional services, and deployment methods affect pricing. Monthly base license: $16,500. |
| Compliance Automation | — | — |
| Data Discovery | — | — |
| Model Monitoring | — | — |
| Deployment Flexibility | — | — |
| Feature | Adeptiv AI | Alation |
|---|---|---|
| Governance Capabilities | ||
| AI Model Inventory | Automatic discovery and cataloging of all AI models and use cases enterprise-wide | Not a primary feature; focuses on data asset cataloging |
| Regulatory Compliance | Automated mapping to 30+ frameworks including EU AI Act, ISO 42001, NIST AI RMF | Policy management for data regulations; no automated AI compliance mapping |
| Risk Scoring | AI-specific risk scoring based on model type, data sensitivity, and deployment context | Data quality scoring and trust signals for data assets |
| Model Monitoring | Real-time drift detection, bias monitoring, and performance tracking | No model monitoring; focuses on data quality and asset health |
| Data Management | ||
| Data Catalog | Not included; exclusively focused on AI governance | Full enterprise data catalog with search, lineage, and business glossary |
| Data Discovery | Limited to AI-related data assets and model dependencies | Enterprise-grade search with Behavioral Analysis Engine |
| Data Lineage | Model-to-data dependency tracking for AI governance | Full end-to-end lineage across databases, ETL pipelines, and BI tools |
| Fairness and Explainability | Built-in SHAP and LIME testing for model fairness analysis | Not applicable; does not provide model-level analysis |
| Platform and Integration | ||
| Deployment Options | SaaS, private cloud, and on-premises installation | Cloud-hosted SaaS with some on-premises options |
| Integrations | Snowflake, Databricks, MLflow, GitHub, S3, Okta | Broad database and BI connectivity via REST API and open interfaces |
| Vendor Management | Third-party AI model governance and vendor risk assessment | Connector management for data sources; not AI vendor focused |
| Collaboration | RBAC-based governance workflows with role assignments | Stewardship workflows, data discussions, and business glossary curation |
AI Model Inventory
Regulatory Compliance
Risk Scoring
Model Monitoring
Data Catalog
Data Discovery
Data Lineage
Fairness and Explainability
Deployment Options
Integrations
Vendor Management
Collaboration
Adeptiv AI wins on AI-specific governance depth with automated compliance and model monitoring. Alation wins on data intelligence breadth with proven cataloging, lineage, and stewardship. Most large enterprises will benefit from both.
Choose Adeptiv AI if:
Choose Adeptiv AI when you need specialized AI governance with automated compliance mapping to EU AI Act, ISO 42001, and NIST AI RMF, plus real-time model monitoring and fairness testing.
Choose Alation if:
Choose Alation when your governance needs center on data discovery, cataloging, lineage, and stewardship across a complex data estate, with AI governance as a secondary concern.
Choose both if:
Deploy both platforms when you need full governance coverage from raw data assets through production AI models, using Alation as the data layer and Adeptiv AI as the AI governance layer.
This verdict is based on general use cases. Your specific requirements, existing tech stack, and team expertise should guide your final decision.
Yes, and this is a common pattern for large enterprises. Alation serves as the data governance layer while Adeptiv AI handles AI-specific governance, compliance, and model monitoring. The two platforms address different layers of the governance stack.
Alation provides foundational data governance that supports trustworthy AI indirectly through data quality, lineage, and access policies. It does not offer AI-specific features like model inventory, drift detection, or fairness testing.
Adeptiv AI offers a 30-day free trial with 1 user and 2 AI use cases. Alation requires a sales engagement. Both are enterprise products that typically involve professional services for deployment.
Adeptiv AI integrates with ML infrastructure: Snowflake, Databricks, MLflow, GitHub, S3, Okta. Alation connects to a broader range of data infrastructure via REST API and open interfaces including databases, warehouses, ETL tools, and BI platforms.