Purview vs Collibra Pricing, What Each Costs a Governance Program in a Year

Short answer: At list price Microsoft Purview is far cheaper to start, and Collibra is the only one of the two that puts a single annual figure in writing. Purview bills per governed asset per day and per processing unit per rule run, at East US list rates of 0.0165 dollars per asset per day and 15 dollars per Basic DGPU. Collibra publishes no price on its own site and lists its platform on AWS Marketplace at 170,000 dollars for 12 months. A Microsoft-centric team governing 2,000 assets with data quality rules on 100 tables should budget roughly 23,000 to 67,000 dollars a year on Purview, depending on how its scans are metered. The Collibra listing starts at 170,000.

These two land on the same shortlist when a company decides it needs a governance program: a catalog the business trusts, owners for its critical tables, and data quality scores a chief data officer can report upward. They charge in completely different ways, and the difference matters more than the headline number. Every figure below was read at source in September 2026: the Azure Retail Prices API and Microsoft Learn for Purview, and the AWS Marketplace listings for Collibra.

Purview vs Collibra pricing side by side

What Microsoft Purview actually charges

Purview's data governance side runs on two pay-as-you-go meters. The first counts unique governed assets per day: any table, view or model linked to a data product, a critical data element, a glossary term or a data quality rule. Assets that sit in the Data Map without a governance concept are not counted. At 0.0165 dollars a day, a governed asset costs about 0.50 dollars a month, and Microsoft's own example prices 200 governed assets at 100 dollars a month.

The second meter is the Data Governance Processing Unit, 60 minutes of managed compute used by data quality and health management. Basic costs 15 dollars per DGPU, Standard 60 and Advanced 240. Microsoft's billing documentation lists about 0.02 DGPU per rule per run for simple checks on a million rows, so each rule run costs roughly 30 cents on the default Basic SKU. Scanning metadata into the Data Map carries no charge once you consent to pay-as-you-go.

One practical wrinkle: when we opened the Purview pricing page, every data governance row showed N/A until a region was selected. The rates above come from the Azure Retail Prices API, the public feed behind the Azure calculator. We work the data quality side through in detail, with monthly bills at 50, 100 and 250 tables, on our Purview data quality pricing breakdown.

What Collibra actually charges

Collibra prints no price for any product on its own site. The only publicly transactable figure is its AWS Marketplace listing for the Collibra Data Intelligence Platform: 170,000 dollars for a 12 month contract, under a single dimension described as a subscription to Collibra Data Intelligence Cloud. There is no user count, no asset count and no data volume attached to it. A second listing on AWS GovCloud prices the same platform at 221,000 dollars for 12 months, a 51,000 dollar premium for federal and public sector deployments. Both listings state that fees are non-cancellable.

That makes 170,000 a floor for what Collibra has put in writing, not a quote for your organization. Seat counts, connectors, data quality scope and professional services are negotiated. Our Collibra pricing analysis goes through what that single line item does and does not cover, and why the per-user figures that circulate in search results do not hold up.

A worked comparison for the same program

Take a mid-market company on Azure Databricks and Snowflake that wants to govern 2,000 assets and run five data quality rules once a day on its 100 most important tables.

• Purview, governed assets: 2,000 x 0.0165 x 365 = about 12,000 dollars a year.
• Purview, data quality if charged per rule run: 100 tables x 5 rules x 0.02 DGPU x 15 dollars = 150 dollars a day, about 55,000 a year.
• Purview, data quality if charged per table scan: 100 x 0.02 x 15 = 30 dollars a day, about 11,000 a year.
• Purview total: roughly 23,000 to 67,000 dollars a year at list, before any enterprise agreement discount.
• Collibra: the AWS listing starts at 170,000 dollars for 12 months, before services.

The Purview range is wide because Microsoft publishes consumption per rule per run in one table and per job in another sentence, and real scans bundle several rules. A one-week pilot on ten tables, read in Azure Cost Management, settles which end you sit at. Collibra's figure is narrower but tells you nothing about scope until a sales call.

Where each one wins, honestly

Purview wins on cost and on fit for a Microsoft estate. It sits inside your Azure tenant, uses Entra ID roles, bills on the Azure invoice your finance team already approves, and profiles and scans Azure Databricks Unity Catalog, Fabric, Azure SQL, Synapse, Snowflake and BigQuery. Organizations that need to map obligations to controls for auditors often pair a catalog with a dedicated compliance management platform rather than stretching either tool into that job.

Collibra wins on the governance program itself: stewardship workflows, a business glossary that non-technical teams actually use, policy management and a connector catalog that reaches far beyond one cloud. For a large regulated enterprise running several clouds, those workflows are what the 170,000 buys, and Purview does not match them.

Both share one limit. Neither is built to watch every warehouse table for the failure nobody wrote a rule for. Purview checks the columns a steward configured, and Redshift is not on its list of data quality sources at all. Collibra's data quality scope is defined in the contract.

Which one should a data team pick?

Work backwards from what went wrong last quarter. If the pain was audit findings, undocumented assets or four versions of the revenue table, you need a catalog, and the choice is Purview if you live in Azure and want pay-as-you-go, or Collibra if you run several clouds and need mature stewardship workflows with a budget to match.

If the pain was a dashboard showing yesterday's numbers because a load failed silently, a column changing type, or row counts halving overnight, you need monitoring first, and neither catalog is the cheapest way to get it. DataObservability connects read-only to Snowflake, BigQuery, Databricks or Redshift, learns freshness, volume, schema and distribution baselines on every table, and alerts in Slack or PagerDuty. It costs 99 dollars a month for 50 tables, 299 for 250 and 799 for 1,500, billed yearly, with a 14 day trial. Many teams run it alongside a catalog, and our data lineage tools pricing comparison shows how the catalog vendors price the lineage half of the same decision. See every plan on the pricing page.

Frequently asked questions

Is Microsoft Purview cheaper than Collibra?

At list price, yes, by a wide margin for most mid-market programs. Purview bills per governed asset per day and per processing unit, so 2,000 governed assets and daily rules on 100 tables land around 23,000 to 67,000 dollars a year. Collibra's only public figure is 170,000 dollars for 12 months on AWS Marketplace, before services.

How much does Collibra cost per year?

Collibra lists its Data Intelligence Platform at 170,000 dollars for a 12 month contract on AWS Marketplace, and 221,000 on AWS GovCloud. The listing carries one subscription dimension with no user or asset count, so treat it as a floor for what Collibra has put in writing rather than a quote.

How is Microsoft Purview data governance priced?

Two pay-as-you-go meters. Governed assets bill at 0.0165 dollars per asset per day in East US, about 0.50 a month each. Data quality and health management consume Data Governance Processing Units at 15, 60 or 240 dollars depending on the Basic, Standard or Advanced option, with simple rules using about 0.02 DGPU per run.

Can Purview or Collibra replace a data observability tool?

Partly. Both run data quality rules someone configures, and both report scores. Neither learns a baseline on every warehouse table and alerts on failures nobody anticipated, which is what observability tools do. Most teams that buy a catalog still add monitoring for the tables that break between rule runs.