Collibra
vs Atlan
Legacy tools promise a lot but stall on time to value, enterprise adoption, and impactful business outcomes. Atlan is the modern, cloud-native, AI-ready platform that teams actually use, so value shows up in weeks, not years.
Trusted by companies with
more than $10T in enterprise value
Why top data teams choose Atlan
and never look back
Adoption
Governance
Architecture
Adoption-first design
Faster time to value
Business outcomes first
Adoption, ROI, impact:
stories from the field
Enterprise-scale governance, simplified
Read the full story →3x
faster data discovery
$330M
in profit
<3h
time-to-insight
Collibra vs Atlan:
key differences that drive better outcomes
User experience & adoption
| What Teams Need |  |  |
|---|---|---|
| Intuitive Experience | Personalized UI with business-friendly search | Steep learning curve, complex navigation |
| Embedded Context | Metadata context in end-user tools (e.g., Slack, Microsoft Teams, Jira, GitHub) | Separate login system disconnected from workflow |
| Search & Discovery | Semantic, AI-powered search and AI search | AI Copilot chat in-platform |
Technical architecture & performance
| What Teams Need | | |
|---|---|---|
| Cloud-native Architecture | Cloud-native, Kubernetes-based, future-ready | Legacy architecture, difficult to scale |
| Rapid Deployment | Live in weeks with DIY connectors | Months-to-years implementation cycles |
| Deep MDS Integration | Always first-to-launch partner innovations. E.g. native 2-way sync with Snowflake/Databricks | Limited depth with modern data stack |
Governance & automation
| What Teams Need | | |
|---|---|---|
| AI-powered Enrichment | AI-powered enrichment, rule-based automation | Manual processes, stewardship-heavy |
| Reliable Lineage | Automated, column-level visibility at scale | Complex setup, unreliable tracking |
| Policy & workflow management | No code DIY custom workflow builder, automated policy enforcement | Heavy configuration, developer dependency on workflows |
Business value & ROI
| What Teams Need | | |
|---|---|---|
| Transparent Pricing | Clear, value-aligned costs (5/5 Forrester rating) | High costs not tied to outcomes (3/5 rating) |
| Customer Success | Partnership focused on adoption outcomes | Sales-led approach prioritizing licenses |
| Innovation Pace | First-to-market with GenAI, Chrome extension | Slow adaptation to modern data landscape |
Future-ready capabilities
| What Teams Need | | |
|---|---|---|
| AI Integration | MCP Server for AI agents, "Talk to Data" | Limited AI capabilities, no MCP support |
| Data Mesh Support | Data products marketplace, federated governance | Catalog-centric, limited federation |
| Open Platform | Iceberg-native metadata lakehouse | Closed ecosystem, limited APIs |
Collibra vs Atlan: what users say
Authentic voice from the data community (G2)
G2’s analysis summarizes the difference: Atlan’s Ease of Use and Quality of Support score higher, signaling a more intuitive product and stronger partnership.
Source
Recognition that validates your choice
Industry experts recognize Atlan's innovation
Forrester Wave™: Data Governance Solutions (Q3 2025)
Leader and Customer Favorite, with highest-possible scores in 15 criteria. Forrester evaluated 13 providers in this report.
Forrester Wave™: Enterprise Data Catalogs (Q3 2024)
Leader placement with the highest scores across all vendors in Current Offering and Strategy, and highest-possible scores in 15 criteria including Governance, Risk & Compliance, Data Lineage, Adoption, and Deployment and Time-to-Value.
Gartner® Magic Quadrant™: Data & Analytics Governance Platforms (2025)
Recognized as a Visionary in the inaugural MQ for this category, published in January 2025.
Snowflake Partner of the Year (2025)
Data Governance — Data Cloud Product Partner of the Year
Frequently Asked Questions: Collibra vs Atlan
What makes Atlan a better choice than Collibra for enterprise adoption?
How quickly can organizations realize value with Atlan?
How does Atlan handle governance and lineage in practice?
Is Atlan built for the cloud and the modern data stack?
What does an evaluation or migration from Collibra look like?
