BigID vs Collibra vs Microsoft Purview: Published Pricing Compared

Three of the biggest data governance vendors publish a real US list price if you know where to look, and the numbers are further apart than the marketing suggests. BigID lists $175,000 for 12 months on AWS Marketplace. Collibra lists $170,000. Microsoft Purview does not sell a flat contract at all: it meters $0.0165 per governed asset per day, which works out to about $6.02 per asset per year. Every figure below was read from a primary source, with the date it was read.

Almost every comparison article in this category quotes a range with no source, usually something like "expect six figures." That is not useful when you are building a business case. The three prices below are transactable or metered rates published by the vendors themselves, so you can put them in a spreadsheet and defend them in a room.

How much does each one cost?

The first two are contract prices for a fixed term. The third is a usage meter, so it does not become a number until you supply an asset count. That difference matters more than the headline figures, and it is the reason these three are so hard to compare in a spreadsheet.

What $175,000 actually buys at BigID

The BigID Next listing carries a single dimension called Discovery Foundation. BigID describes that foundation as the layer that finds and classifies sensitive, personal and regulated data wherever it lives, identifies duplicate and redundant data, correlates scattered data points back to one identity, and does metadata collection and labeling at scale.

What it does not include is most of the reason people buy BigID. On BigID's own pricing page the functional capabilities are sold as bundles that sit on top of that foundation: Zero Trust, Insider Threat, Data Minimization, DSPM and Data Lifecycle Management on the security side, and Data Rights, Preferences and Data Mapping on the privacy side. Each bundle is a set of apps such as Access Intelligence, Remediation, Retention, Deletion, DSAR or RoPA.

So $175,000 is the entry ticket, not the total. If you are buying BigID for DSPM or for subject access request automation, the capability you actually want sits above that line, and BigID does not publish what it adds. Ask for itemized bundle pricing in writing before you get deep into an evaluation. There is more detail on the listing, including the contract terms, on our BigID pricing and alternatives page.

One oddity is worth flagging because it tells you how seriously to take the number. The description attached to that $175,000 dimension reads, in full: "Discovery foundation L1 - Please contact BigID for custom pricing." The vendor published a price and, in the same field, told you it is not the price. Treat it as an anchor rather than a quote.

Why Collibra's longer contracts cost exactly two and three times more

Collibra is the only one of the three that offers multiple contract lengths on its listing, and the amounts are worth seeing side by side.

That is perfectly linear. Committing to three years buys exactly nothing at list price. We have now seen the same pattern on three separate vendors, including Informatica at exactly two and three times its annual rate, so it appears to be how this end of the market lists rather than a Collibra quirk.

The practical consequence is the useful part. Buyers routinely assume a multi-year commitment comes with a built-in discount and negotiate down from an already-discounted number. It does not. Any multi-year discount you get is a concession you extracted, so ask for it explicitly and in percentage terms. Our deeper breakdown of how much Collibra costs goes through the rest of the licensing model.

Microsoft Purview is metered, so here is the break-even

Purview does not sell a platform contract. Microsoft publishes machine-readable meters through the public Azure retail price API, and the governance ones are $0.0165 per governed catalog asset per day plus data governance processing units at $15, $60 or $240 depending on tier.

At $0.0165 per day, one governed asset costs $6.02 per year. That single conversion makes the three vendors comparable for the first time:

So the rough rule is this: below roughly 28,000 governed assets, Purview's metered model is cheaper than either flat contract, and above it the flat contracts start to win. That is before processing units, which are the other half of a Purview bill and scale with how much quality scanning and classification you run.

Two caveats keep this honest. Purview bills only assets you have actively attached to a governance concept such as a data product or a quality rule, not everything Data Map has scanned, so the billable count is usually far lower than a raw table count. And Purview is the cheapest of the three only if you are already in Azure. The full meter table is in our Microsoft Purview pricing breakdown, and the lineage limits that often decide the evaluation are on our Microsoft Purview alternatives page.

What about the vendors that show $1.00, or nothing at all?

A Marketplace listing does not force a vendor to publish a meaningful price, and the exceptions are worth knowing before you go looking. Reading across the category, listings fall into three shapes.

Some carry a real rate card: BigID, Collibra, Alation at $60,000, Monte Carlo at $50,000, Sifflet at $48,000, Bigeye at $45,000 for 100 monitored tables, Datafold at $15,000 for five developers. Some carry a placeholder. Ataccama prices Essential, Professional and Enterprise all at $1.00 with a note that final pricing is confirmed based on customer needs, and Anomalo sells a dimension literally named "units" at $1.00. Those are transactable but they are not costs, and reporting them as prices would be wrong. And some carry no price at all: Atlan shows only a request for a private offer.

All figures other than BigID and Collibra were read on 26 August 2026. Marketplace listings change, so re-check any number before it goes into a business case.

Which one is cheapest for a mid-size data team?

For most teams under a few thousand governed assets, none of these three is the right first purchase, and that is the honest answer rather than a sales one. A flat $170,000 to $175,000 contract is priced for an enterprise governance program with a steward function, a compliance mandate and a multi-quarter rollout. If you have that mandate, the price is defensible and the comparison above is the one to run.

If what you actually need is to know where data came from and what breaks when it changes, you are looking at a different and much cheaper category. The data governance tools and data lineage tools comparisons lay out where the line falls, and the observability vendors above list between $5,000 and $50,000 rather than six figures.

How to use these numbers in a negotiation

A published list price is leverage even when it is an anchor. Three things follow from the data above.

• Quote the listing back. A vendor whose own Marketplace listing shows $175,000 cannot open at $400,000 without explaining the gap. Make them explain it.
• Ask what the base excludes, in writing. The BigID structure, where the published number is a foundation and the functionality is bundled above it, is common. Get the bundle list and the price of each one itemized before you shortlist.
• Read the renewal terms on day one. The BigID listing carries an auto-renew badge and states that fees are non-cancellable and non-refundable except as required by law. That is normal for enterprise software, and it is also how organizations end up paying for a second year of something they stopped using in month seven. Whoever owns the contract should be tracking those obligations and renewal dates somewhere other than a calendar invite.

Where Datatrail sits in this comparison

Datatrail is not competing for the same budget as any of the three, and pretending otherwise would not help you. We do not classify sensitive data, run DSPM, automate subject access requests or provide a stewardship program. If your requirement is enterprise governance or privacy compliance, buy one of the platforms above.

What Datatrail does is one job that none of them does well: it connects read-only to Snowflake, BigQuery, Databricks or Redshift, reads the query history and the dbt graph, and builds column-level lineage from what actually ran rather than from declared object definitions. On that graph it computes impact analysis, so before you drop a column you get the list of downstream models, exposures and dashboards that read from it. The price is on the pricing page, and you can point it at your own warehouse and see the real graph the same afternoon.