Atlan vs Collibra Pricing and Which Catalog Costs Less per Year

Short answer: On the figures available, Atlan usually costs less than Collibra, but only Collibra has put a price in writing. Collibra lists its Data Intelligence Platform at 170,000 dollars for 12 months on AWS Marketplace. Atlan publishes no price on its website or its AWS listing, which is private offer only, and the procurement platform Vendr reports a median Atlan contract of 50,420 dollars a year across 44 purchases. Neither figure includes data quality, and in Atlan's case data quality is a separate paid feature that also bills your warehouse.

These two land on the same shortlist when a company decides it needs a governed catalog: one place to find tables, named owners, a glossary, lineage, and quality scores someone can report upward. Comparison pages tend to rank them on features and then quote a price from 2024. We checked both vendors' pricing URLs, both AWS Marketplace listings and Atlan's documentation on October 1, 2026, so the numbers below are current and each one says where it came from.

Atlan vs Collibra pricing side by side

What Atlan actually charges

Atlan's pricing URL opens a page titled Talk To Our Sales Team, which asks for your name, work email and phone number. There is no tier table. Its AWS Marketplace listing, now titled Atlan, Context Layer for AI, goes one step further than most vendors in the category and shows no public price at all: the pricing section offers custom pricing through a private offer, based on your requirements and eligibility.

That leaves secondhand data. Vendr reports a median of 50,420 dollars a year from 44 purchases, a low of 30,078 and a high of 177,847, with per user costs of roughly 1,500 to 2,500 dollars a year for teams of 10 to 25 people. You will also see comparison sites describe free, 15 dollar and 30 dollar per user tiers. We could not find those plans on any Atlan page, so do not build a budget on them.

The line most buyers miss is data quality. Atlan documents Data Quality Studio as a paid feature that requires access, and it runs on the warehouse's own engine: Snowflake data metric functions, Databricks serverless compute, or BigQuery stored procedures. On Snowflake it needs Enterprise or Business Critical edition. It does not run on Redshift. Our Atlan pricing breakdown walks through every line, including the setup objects and the compute each check consumes.

What Collibra actually charges

Collibra prints no price for any product on its own site. Its AWS Marketplace listing for the Collibra Data Intelligence Platform carries one dimension, a subscription to Collibra Data Intelligence Cloud at 170,000 dollars for 12 months, and we have recorded the same figure on every check since September. A separate AWS GovCloud listing prices the platform at 221,000 dollars for 12 months. Fees on both are non-cancellable and non-refundable except as required by law.

That number is a floor rather than a quote. It names no user count, asset count or module list, and Collibra's data quality product is scoped in the contract rather than priced in public. Our Collibra pricing analysis covers what the single line item leaves out.

A worked comparison for the same rollout

Take a US company with 25 people who curate the catalog, 300 who read it, Snowflake and Redshift as warehouses, and quality checks wanted on its 200 most important tables.

• Atlan: no public floor. At Vendr's reported 1,500 to 2,500 dollars per user for a team that size, the curating group alone suggests a five figure contract near the 50,420 median, before Data Quality Studio. Checks would run on Snowflake only, since Redshift is not a supported quality platform, and the Snowflake account must be Enterprise edition.
• Collibra: 170,000 dollars for 12 months at list, before seats beyond the base, data quality scope and services.
• Both: implementation, glossary design and steward time on top, usually quoted separately.
• Monitoring only: DataObservability Team covers 250 tables across Snowflake and Redshift with ML anomaly detection and PagerDuty for 2,154 dollars a year billed yearly. Scale adds 1,500 tables, column-level lineage and SSO for 5,754.

On paper the catalog gap is well over 100,000 dollars a year in Atlan's favor. In practice it depends on seats and modules, and the only fair comparison is two written quotes with every line and its unit spelled out.

Where each one wins

Atlan wins on adoption and speed. Its catalog reads like a modern workspace, its setup is measured in weeks rather than quarters, and it now positions itself as the context layer for AI agents, pushing certified definitions, owners and lineage into tools through MCP servers. That matters if your analysts already ask an AI data analyst that writes the SQL for them, because the answers are only as good as the definitions behind them. The AWS listing's review sentiment rates Atlan positive on cost effectiveness, which is rare in this category.

Collibra wins on the governance program itself: policy management, approval workflows, stewardship roles and a glossary built for large regulated organizations. If you run a formal data governance office in banking, insurance or healthcare, Collibra's workflow depth is what you are paying for.

Neither is built to watch every warehouse table for the failure nobody wrote a rule for. Both run the checks someone configured on the assets someone chose.

Which one should a data team buy?

Start with the problem that cost you most last quarter. If it was audit findings, undocumented assets or nobody trusting the revenue table, you need a catalog. Pick Atlan if adoption, AI context and a lower likely contract matter most, or Collibra if a formal governance office needs its workflow depth. If you are also weighing a third catalog, our Alation vs Collibra pricing comparison reads Alation's 60,000 dollar AWS floor against the same Collibra figure.

If the problem was tables going stale, row counts collapsing or a schema change breaking a dashboard, a catalog is the expensive way to fix it. That is a monitoring problem, and it can be solved this week for a published price. DataObservability plans start at 59.50 dollars a month billed yearly, connect read only to Snowflake, BigQuery, Databricks or Redshift, and generate freshness, volume, schema and distribution monitors on every table without anyone writing a rule. Many teams run monitoring first and buy the catalog a year later, when the governance case is clearer. For a wider view of how catalog and lineage tools are priced, see our data lineage tools pricing comparison.

Common questions

Is Atlan cheaper than Collibra?

Usually, yes. Collibra lists its platform at 170,000 dollars for 12 months on AWS Marketplace, while Vendr reports a median Atlan contract of 50,420 dollars a year across 44 purchases. Atlan publishes no list price, so the only reliable comparison is two written quotes for the same users, connectors and modules.

Does Atlan or Collibra include data quality in the base price?

Neither does by default. Atlan documents Data Quality Studio as a paid feature that requires access, and it bills your warehouse compute on every check. Collibra scopes Data Quality and Observability in the contract. Ask both vendors for data quality as its own line item with the unit it counts.

Can I buy Atlan or Collibra without a sales call?

Not in practice. Atlan's website and AWS listing both lead to a quote. Collibra's AWS listing is transactable at 170,000 dollars, but seats and modules are still sized with the vendor. Monitoring-only tools with published prices, including ours, can be bought online and running the same day.