Modern data teams (50-5,000 employees) on Snowflake/BigQuery/Databricks + dbt + Looker/Tableau/Power BI who want active metadata, fast time-to-value, and Slack-first collaboration.
Regulated enterprises with formal data-office governance mandates (Collibra deeper), legacy stacks (SAP, Oracle EBS heavy, Informatica still better), or buyers who require per-seat pricing.
Is Atlan a trustworthy vendor?
- 2022-08-10$50M Series B led by Insight Partners
- 2024-05-29$100M Series C at $750M+ valuationRound led by Insight Partners and Salesforce Ventures; positions Atlan as the modern catalog leader through 2026.
- 2024-09-12AI Copilot GA across all tiers
- 2025-06-24Column-level lineage GA with read parity to dbt models
- 2026-03-18Platform-based pricing model introduced at renewal; some customer pushback
What 180 reviews actually say
Synthesized from G2, Capterra, Reddit, Trustpilot. Patterns >15% prevalence shown.
Praise patterns
- Fastest time-to-value of any catalog tested87% →
- Column-level lineage parsed automatically from dbt78% ↑
- Slack-first collaboration genuinely drives adoption64% →
- Product velocity, multiple useful ships per quarter51% ↑
Complaint patterns
- Pricing opaque; platform-based model surprises buyers47% ↑
- Governance depth trails Collibra at enterprise tier41% →
- Legacy enterprise connectors (SAP, Oracle EBS) less mature38% →
- AI Copilot quality varies on metadata-light environments31% ↓
-
“Atlan in six weeks did what Collibra did not in fourteen months at our prior employer. The dbt and warehouse lineage just works.”
Head of Analytics Engineering, scaleup· G2 · 2026-04-08
-
“The Slack integration is the catalog. Once analysts can ask in-channel and see lineage in the thread, adoption is solved.”
Data Platform Lead, fintech· Reddit r/dataengineering · 2026-02-19
What buyers actually pay
118 anonymized deal disclosures · last updated 2026-05-01
| Company size | Median annual |
|---|---|
| 50-200 employees | $36,000 |
| 200-1,000 employees | $96,000 |
| 1,000+ employees | $300,000 |
Auto-verified certifications
Editorial: Strengths
- Active metadata architecture, not retrofitted
- Column-level lineage parsed from dbt and warehouse query logs
- Slack-first collaboration genuinely changes adoption versus legacy catalogs
- Native on Snowflake, BigQuery, Databricks, dbt, Looker, Tableau, Power BI
- Best-in-class onboarding and time-to-value (weeks, not months)
- AI Copilot for documentation and discovery (cautious editorial: test on real metadata)
- Strong product velocity, multiple ship cycles per quarter
Editorial: Weaknesses
- Governance depth trails Collibra at regulated enterprise tier
- Pricing opaque; platform-based model surprises buyers expecting per-seat
- Some legacy enterprise integrations (SAP, Oracle EBS) less mature
- Heavy dbt anchoring means non-dbt teams see less out-of-box value
- Series C valuation creates renewal anchoring concerns at small accounts
Key features & integrations
- +Active metadata graph
- +Column-level lineage (warehouse + dbt + BI)
- +Slack-first collaboration and notifications
- +AI Copilot (documentation, discovery, query generation)
- +Trust signals and data quality surface
- +Business glossary and stewardship
- +Custom metadata and attributes
- +API and webhooks for active metadata flows
Read our full ranking of Data Catalog Software
Atlan ranks #2 in our editorial review of 10 data catalog software platforms. The deep-dive covers methodology, comparison tables, decision matrix, migration scoring, and FAQs.
Read the full rankingClosest alternatives in Data Catalog Software
Contribute your verified deal price
Pricing in B2B software is opaque because vendors want it that way. Verified buyer prices fix that, anonymously. Share what you actually paid for Atlan; we’ll add it to the verified pricing dataset on this page (with company size band only, no identifying details).
Submit anonymously