Decision comparison
Adeptiv AI vs Alation
Adeptiv AI wins on AI-specific governance depth for organizations managing production AI systems under EU AI Act, ISO 42001, or NIST AI RMF requirements. Its automated inventory, 12-pillar risk assessment, evidence collection, and runtime observability address governance from AI discovery through deployment. Alation wins on data intelligence breadth where enterprise teams need searchable cataloging, lineage, stewardship, business context, and governance across a broad data estate. Large enterprises needing governance from source data through deployed AI models can use Alation as the data intelligence layer and Adeptiv AI as the specialized AI governance layer.
Architecture choice. These take different approaches to the same problem. Read the table as a fit question rather than a feature race.
These are different kinds of product — AI Governance and Data Catalog.
Quick Comparison
| Decision factor | Adeptiv AI | Alation |
|---|---|---|
| AI Governance Depth | Automatic enterprise-wide discovery and cataloging of AI models and use cases, with lifecycle approval checkpoints, risk assessments, vendor oversight, and audit evidence. | Not a primary feature; focuses on data asset cataloging, while supporting trusted AI through data quality, transparency, lineage, documentation, and collaboration. |
| Data Cataloging | Not included; exclusively focused on AI governance, cataloging AI systems, models, agents, use cases, third-party applications, and their dependencies. | Full enterprise data catalog with search, lineage, and business glossary, unifying definitions, policies, trust signals, usage, quality, and interactive discussions. |
| Compliance Automation | Automated mapping to 30+ frameworks including EU AI Act, ISO 42001, and NIST AI RMF, with suggested controls, evidence, policies, and reports. | Policy management for data regulations; no automated AI compliance mapping, with stewardship, access controls, data masking, approvals, lineage, and quality supporting provable compliance. |
| Data Discovery | Limited to AI-related data assets and model dependencies, including shadow AI, undocumented datasets, hidden pipelines, third-party applications, and unknown models. | Enterprise-grade search with Behavioral Analysis Engine, natural-language discovery across 120+ connectors for definitions, lineage, policies, trust signals, and governed data assets. |
| Model Monitoring | Real-time drift detection, bias monitoring, and performance tracking through an Observability SDK detecting hallucinations, PII exposure, prompt attacks, and runtime risks. | No model monitoring; focuses on data quality and asset health, including lineage, usage, impact analysis, stewardship workflows, and policy-driven governance. |
| Deployment Flexibility | SaaS, private cloud, and on-premises installation; SaaS trial and Starter plans, with tailored enterprise workflows, integrations, and training for private deployments. | Cloud-hosted SaaS with some on-premises options; deployment methods affect commercial terms. |
| Best For | Organizations deploying AI at scale that need automated regulatory compliance, model inventory, drift detection, and fairness testing across their AI portfolio. | Data teams that need a unified data catalog with search, lineage, stewardship, and policy management to govern the full data lifecycle. |
| Pricing Model | 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. | Alation publishes no pricing. alation.com/pricing resolves to a contact form, and no plan or edition names are published either, so every figure is set in a quote. |
Adeptiv AI
- AI Governance Depth:
- Automatic enterprise-wide discovery and cataloging of AI models and use cases, with lifecycle approval checkpoints, risk assessments, vendor oversight, and audit evidence.
- Data Cataloging:
- Not included; exclusively focused on AI governance, cataloging AI systems, models, agents, use cases, third-party applications, and their dependencies.
- Compliance Automation:
- Automated mapping to 30+ frameworks including EU AI Act, ISO 42001, and NIST AI RMF, with suggested controls, evidence, policies, and reports.
- Data Discovery:
- Limited to AI-related data assets and model dependencies, including shadow AI, undocumented datasets, hidden pipelines, third-party applications, and unknown models.
- Model Monitoring:
- Real-time drift detection, bias monitoring, and performance tracking through an Observability SDK detecting hallucinations, PII exposure, prompt attacks, and runtime risks.
- Deployment Flexibility:
- SaaS, private cloud, and on-premises installation; SaaS trial and Starter plans, with tailored enterprise workflows, integrations, and training for private deployments.
- Best For:
- Organizations deploying AI at scale that need automated regulatory compliance, model inventory, drift detection, and fairness testing across their AI portfolio.
- Pricing Model:
- 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.
Alation
- AI Governance Depth:
- Not a primary feature; focuses on data asset cataloging, while supporting trusted AI through data quality, transparency, lineage, documentation, and collaboration.
- Data Cataloging:
- Full enterprise data catalog with search, lineage, and business glossary, unifying definitions, policies, trust signals, usage, quality, and interactive discussions.
- Compliance Automation:
- Policy management for data regulations; no automated AI compliance mapping, with stewardship, access controls, data masking, approvals, lineage, and quality supporting provable compliance.
- Data Discovery:
- Enterprise-grade search with Behavioral Analysis Engine, natural-language discovery across 120+ connectors for definitions, lineage, policies, trust signals, and governed data assets.
- Model Monitoring:
- No model monitoring; focuses on data quality and asset health, including lineage, usage, impact analysis, stewardship workflows, and policy-driven governance.
- Deployment Flexibility:
- Cloud-hosted SaaS with some on-premises options; deployment methods affect commercial terms.
- Best For:
- Data teams that need a unified data catalog with search, lineage, stewardship, and policy management to govern the full data lifecycle.
- Pricing Model:
- Alation publishes no pricing. alation.com/pricing resolves to a contact form, and no plan or edition names are published either, so every figure is set in a quote.
Public signals
Verified factual signals only. Bars appear only for like-for-like metrics with five weekly assessments for every tool; missing evidence stays explicit. These signals do not establish enterprise adoption, product quality, or total cost.
| Metric | Adeptiv AI | Alation |
|---|---|---|
| GitHub commits, 90d(Developer adoption) | Not available | 3 |
| GitHub stars(Developer adoption) | Not available | 19 |
| Product Hunt comments(Community interest) | Not available | 0 |
| Product Hunt reviews(Community interest) | Not available | 0 |
| Product Hunt votes(Community interest) | Not available | 2 |
| Stack Overflow questions(Community interest) | Not available | 12 |
As of September 14, 2026 — updated weekly.
Interface Preview
Adeptiv AI
Alation
Feature Comparison
| 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 |
Governance Capabilities
AI Model Inventory
Regulatory Compliance
Risk Scoring
Model Monitoring
Data Management
Data Catalog
Data Discovery
Data Lineage
Fairness and Explainability
Platform and Integration
Deployment Options
Integrations
Vendor Management
Collaboration
Which approach fits
Adeptiv AI wins on AI-specific governance depth for organizations managing production AI systems under EU AI Act, ISO 42001, or NIST AI RMF requirements. Its automated inventory, 12-pillar risk assessment, evidence collection, and runtime observability address governance from AI discovery through deployment. Alation wins on data intelligence breadth where enterprise teams need searchable cataloging, lineage, stewardship, business context, and governance across a broad data estate. Large enterprises needing governance from source data through deployed AI models can use Alation as the data intelligence layer and Adeptiv AI as the specialized AI governance layer.
When each approach fits
Choose Adeptiv AI if:
Choose Adeptiv AI when specialized AI governance is the immediate requirement, including automated mapping to 30+ regulatory frameworks and lifecycle approval controls. It is particularly suited to teams needing enterprise AI inventory, vendor risk assessment, audit evidence packs, and runtime monitoring for hallucinations, bias, PII exposure, or prompt attacks.
Choose Alation if:
Choose Alation when governance centers on discovering, documenting, and stewarding data across a complex enterprise estate. Its catalog, natural-language search, Behavioral Analysis Engine, lineage, and 120+ connectors fit data teams making trusted data accessible for analytics and AI.
Choose both if:
Deploy both platforms when governance must connect raw data assets, business definitions, lineage, and policy controls to production AI-model risk controls. Use Alation to establish trusted, governed data products and Adeptiv AI to manage AI inventories, compliance evidence, risk assessments, and production observability.
These scenarios reflect the available product evidence. Your requirements, existing stack, and team expertise should guide the final decision.
Frequently Asked Questions
Can Adeptiv AI and Alation be used together?
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.
Does Alation support AI governance out of the box?
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.
Which platform is easier to deploy and get started with?
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.
What integrations does each platform support?
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.