Head-to-head · Machine Learning Data Catalog Software
BigID Data + AI Catalog vs Atlan Lakehouse
BigID Data + AI Catalog leads on 0 checks, Atlan Lakehouse on 0, and 4 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreBigID Data + AI Catalog · 8.8/10
- Most featuresBigID Data + AI Catalog · 3 of 4
BigID Data + AI Catalog scores higher on our rubric for machine learning data catalog software: 8.8 against 7.9 out of 10; our editors rank them #2 and #7.
On deployment, BigID Data + AI Catalog gives you Both where Atlan Lakehouse offers Cloud.
BigID Data + AI Catalog is the better fit for enterprises cataloging diverse AI data. Atlan Lakehouse is the better fit for modern lakehouse metadata teams.
- BigID Data + AI Catalog fits best
Enterprises cataloging diverse AI data
- Atlan Lakehouse fits best
Modern lakehouse metadata teams
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Side by side
| Feature | BigID Data + AI Catalog 8.8/10 Visit ↗ | Atlan Lakehouse 7.9/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 8.8 | 7.9 |
| Ranking | #2 in Machine Learning Data Catalog Software | #7 in Machine Learning Data Catalog Software |
| Best for | Enterprises cataloging diverse AI data | Modern lakehouse metadata teams |
| Pricing model | Paid | Paid |
| Starting price | Pricing on request | Pricing on request |
| Free plan | — | Not checked yet |
| Free trial | — | — |
| Deployment | Cloud, Self-hosted | Cloud |
| Platforms | Web | Web |
| Support | Email, Phone, Docs · 24/7 | Docs |
| Compliance | SOC 2, ISO 27001, HIPAA, PCI DSS | SOC 2, ISO 27001, GDPR, HIPAA |
| Integrations | 200+ integrations | 12 integrations |
| Built for | Enterprise, Mid-market | Mid-market, Enterprise |
| Features BigID Data + AI Catalog 3/4 · Atlan Lakehouse 0/4 | ||
| ML data lineage | ✓ (best) | Not checked yet |
| Dataset versioning | Not checked yet | Not checked yet |
| Data quality checks | ✓ (best) | Not checked yet |
| Access policy controls | ✓ (best) | Not checked yet |
| Specs | ||
| ML asset coverage | Datasets+features+models | Not checked yet |
| Deployment | Both | Cloud |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | BigID Data + AI Catalog is designed for organizations that need to discover and govern data across varied environments, including data used in machine learning and generative AI. It supports data, governance, security, privacy, and AI… Read the review → |
Atlan Lakehouse—presented by Atlan as Context Lakehouse or Metadata Lakehouse—is a cloud-first platform for storing, managing, and serving enterprise data and AI context. It is aimed at data and governance teams, analysts, and AI… Read the review → |
Strengths and trade-offs
BigID Data + AI Catalog — where it wins
- Catalogs training datasets, RAG sources, vector stores, and model-related data
- Combines lineage, quality signals, governance workflows, and access controls
- Offers cloud or self-hosted deployment and 200 integrations
Where it doesn't
- Quote-based pricing depends on sources, connectors, deployment, and services
- No free plan is offered
- Its broad catalog and governance scope may exceed narrower catalog needs
Atlan Lakehouse — where it wins
- Iceberg-native metadata storage with time-travel history
- Automated and column-level lineage with downstream impact analysis
- Connects to major warehouses, BI tools, and data platforms
Where it doesn't
- Contact-sales pricing makes cost planning less direct
- Cloud deployment only
- Support channels are limited to documentation
- BigID Data + AI Catalog8.8/10 · Pricing on request
An enterprise catalog for discovering, governing, and tracing data and AI assets.
Visit BigIDFull verdict → - Atlan Lakehouse7.9/10 · Pricing on request
A cloud metadata platform with semantic search, lineage, and time-travel history.
Visit AtlanFull verdict →
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All machine learning data catalog software comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update





