BUYER GUIDE
Bigeye Pricing: Bigeye Cost, the Four Enterprise Packages, and What Each One Actually Buys
Bigeye has no pricing page. bigeye.com/pricing returned a 404 when we checked it on September 15, 2026, and most of the pages that rank for Bigeye pricing repeat a 29 dollars a month figure that does not match anything Bigeye sells. The real numbers are public, just not on Bigeye's own site. Bigeye maintains two AWS Marketplace listings, and both publish contract prices. This page reproduces every figure on them, explains the unit each package is metered by, and works out what happens to the total when you need more than one package.
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How much does Bigeye cost in 2026?
Bigeye costs 45,000 dollars for a 12 month Starter contract covering 100 actively monitored tables, or 75,000 dollars for the Enterprise Starter Package covering 300 tables, according to its AWS Marketplace listing checked September 15, 2026. A second Bigeye listing prices observability, classification, lineage and agent trust as four separate packages, from 45,000 to 75,000 dollars each.
Side by side
Bigeye pricing compared
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| Package | What the listing says it includes | Cost per 12 months | Where |
|---|---|---|---|
| Starter Package | 100 active monitored tables, two Core Lineage Plus connectors, browser extension | 45,000 USD | Data Analytics listing |
| Enterprise Starter Package | 300 active monitored tables, two Core Lineage Plus connectors, browser extension | 75,000 USD | Data Analytics listing |
| Data Observability / Data Quality | Observability monitoring, data quality, data source connectors, browser extension | 75,000 USD | Data Governance listing |
| Data Classification | Structured and unstructured scanning allocation, connectors, browser extension | 75,000 USD | Data Governance listing |
| Lineage | Data source connectors and a browser extension, no stated volume | 45,000 USD | Data Governance listing |
| Agent Trust Hub | Agent registry, session insights, policy engine, AI cost insights | 50,000 USD | Data Governance listing |
| Dataobservability | 50, 250 or 1,500 monitored tables, all five pillars, lineage | 1,188 / 3,588 / 9,588 USD | Published on our pricing page |
Positioning and pricing models are summarized in good faith from each vendor's public pages, September 2026. Verify current terms with the vendor.
What you get
Every Bigeye price that is published anywhere, in one table
The 29 dollars a month figure on the comparison sites is wrong
Search for Bigeye pricing and the first page of results is directory listings, a 2021 funding announcement, and at least one software directory that states Bigeye starts at 29 dollars a month on a freemium model. Nothing Bigeye publishes supports that. Its own pricing URL is a 404. Its AWS Marketplace contracts start at 45,000 dollars for twelve months. The gap between 348 dollars a year and 45,000 dollars a year is not a rounding difference, and a buyer who walks into a scoping call carrying the directory number is going to have a bad afternoon. Where a directory shows a price for a vendor that publishes none, it is usually a default field in the directory's own template rather than a figure anyone checked. The AWS Marketplace listing is the opposite: it is maintained by the vendor, it is a real purchasable contract, and the dollar figures on it are the price AWS will bill through your account.
Bigeye sells the same platform through two different listings, with two different meters
This is the part nobody has written down. Bigeye has two live AWS Marketplace listings and they are not duplicates. The older one, filed under Data Analytics and carrying 22 customer ratings at 4.1 stars, sells two contract packages metered by active monitored tables: 45,000 dollars for 100 tables and 75,000 dollars for 300 tables, each bundling two Core Lineage Plus connectors and a browser extension. The newer one, filed under Data Governance with no ratings yet, does not mention tables at all. It sells four independent Enterprise Starter Packages, each priced by its own unit and each sold as a separate capability: Data Observability and Data Quality at 75,000 dollars, Data Classification at 75,000 dollars, Lineage at 45,000 dollars, and Agent Trust Hub at 50,000 dollars. The listing states plainly that you can buy one on its own or combine several.
Unbundled, a Bigeye platform deal adds up rather than scaling down
Run the arithmetic on the newer listing and the shape of the 2026 Bigeye deal becomes clear. On the older listing, 45,000 dollars bought monitoring on 100 tables and lineage connectors together, in one line. On the newer listing observability and lineage are separate purchases, so a team that wants both starts at 120,000 dollars a year before classification or agent governance. Add the Data Classification package and you are at 195,000. Add Agent Trust Hub and all four list at 245,000 dollars a year. None of that is hidden, and none of it is unreasonable for an enterprise platform sold to banks and insurers. It does mean the word platform is doing different work than it used to. The thing you thought you were pricing is now four things, and the quote you compare against a competitor has to state which of the four it covers.
The Lineage package is the only one with no stated volume
Three of the four packages tell you what the unit is. Observability is metered against monitoring and data quality coverage, Data Classification against a data scanning allocation across structured and unstructured data, and Agent Trust Hub against an indexed agent session allocation, where each agent conversation from a connected platform is indexed and counted. The Lineage package says only that it includes data source connectors and a browser extension. There is no table count, no column count, no connector count and no asset count anywhere in the entry, yet it carries a 45,000 dollar list price. Bigeye has arguably the strongest lineage story in the category, including coverage of legacy and on-prem systems that most cloud-native tools ignore, so the value is real. The point is narrower: this is the one line item where you cannot work out what more would cost until sales tells you.
Both listings say No Refunds, and neither describes overage billing
Two details on the listings matter more at signature than at evaluation. First, the vendor refund policy on both Bigeye listings reads No Refunds. That is common for annual marketplace contracts, but it makes the scoping conversation the only chance to get the size right. Second, the packages set a fixed cap on active monitored tables, 100 for Starter and 300 for Enterprise Starter, and the listing does not describe automatic overage billing. AWS's own buyer notes on the listing spell out the consequence: to raise capacity you move to a larger package rather than paying per extra table. So the cost curve is not a slope, it is a stair. Going from 300 tables to 310 is not a small increase, it is a renegotiation, and that is the single most useful thing to know before you pick the package size.
How it works
From connected to caught
Write down which of the four packages you actually need
Before any call, split your requirements into the four buckets Bigeye now prices separately. Monitoring and data quality on warehouse tables is one. Classifying sensitive data across structured and unstructured sources is another. End-to-end and column-level lineage is a third. Governing what AI agents do with your data is a fourth. Most data teams asking about observability need the first and some of the third. If that is you, the honest list price to benchmark against is 120,000 dollars a year, not 45,000, and you should ask for the combined private offer in writing rather than accepting the observability number and discovering lineage is extra.
Get the definition of an active monitored table in the order form
The AWS listing defines an active monitored table as a table you have data quality and pipeline monitoring applied to, capped at 100 on Starter and 300 on Enterprise Starter. That still leaves the questions that decide your real coverage. Does a table you monitor for freshness only count the same as one with twenty quality metrics on it? Does a view count? Does a table you stop monitoring mid-year free up its slot, and how quickly? Ask for the answers in the order form. On a contract with no refunds and no overage line, the definition of the unit is the contract.
Price the same table list against a published number
The cleanest way to judge any enterprise quote is to run the same scope somewhere that prints its price. Take the exact table list in your Bigeye scope, connect a platform read-only, and record what it catches over two weeks. Dataobservability publishes 99, 299 and 799 dollars a month billed yearly for 50, 250 and 1,500 monitored tables, with a 14 day trial and no card. Per table per year that is roughly 24 dollars at Starter, 14 at Team and 6 at Scale, against roughly 450 dollars per table on a Bigeye Starter contract and 250 on Enterprise Starter. Those are not identical products and the comparison is not meant to be flattering by arithmetic alone. It is meant to tell you what the enterprise premium is buying, so you can decide whether you need it.
Decide whether you are buying observability or governance
The clearest signal in Bigeye's 2026 positioning is that the newer listing sits in the Data Governance category and describes the product as giving enterprises visibility and control over the data AI agents use. Gartner lists the product as the Bigeye AI Trust Platform. If your problem is that a regulator, a data protection officer or an AI risk committee wants an inventory of what agents touched, that repositioning is in your favor and the Agent Trust Hub line is worth its 50,000 dollars. If your problem is that the finance dashboard was stale on Monday and nobody noticed until Wednesday, you are buying one of four packages and paying for the enterprise scaffolding around the other three.
What Bigeye is good at, stated plainly
It would be dishonest to write a page about Bigeye pricing without saying what the money buys. Bigeye's listing claims it monitors 3 million customer datasets, maps 100 million lineage connections and scans 3 trillion rows of data every day. Its feature set centers on machine learning autometrics and autothresholds, a library of more than 70 data quality monitoring metrics, root cause and impact analysis, and field-level lineage that traces data flow across warehouses, lakes, ETL systems, BI tools and now AI agents. Crucially, its lineage reaches systems most cloud-native observability tools do not touch, including legacy and on-premises sources. The AWS listing carries 22 ratings averaging 4.1 stars and an accolade for placing in the top 10 in Data Governance. For a large regulated enterprise with a mixed estate, that combination is genuinely hard to replicate, and 45,000 to 245,000 dollars a year is a normal price for it. The mismatch is with the other kind of buyer: a 12 person data team on Snowflake or BigQuery with 200 dbt models, where the same money is a headcount.
How Bigeye's meter compares to the rest of the category
Every vendor in this category picks a different unit, and the unit is usually more important than the headline number because it decides how your bill behaves as you grow. Bigeye meters by active monitored tables on one listing and by four separate capability packages on the other. Monte Carlo meters by monitors, drawn down from a credit balance, with a 50,000 dollar marketplace contract and overage at a cent per unit. Sifflet meters by assets, at 48,000 dollars a year on the same marketplace. Acceldata meters by processed volume and workspaces. Collibra publishes a total with no unit attached at all. Anomalo publishes a rate for a unit its own buyer notes admit are not defined in concrete terms. Elementary moved from unlimited monitored tables to metered ones during 2026 and removed its published price while doing so. Datadog meters data pipeline monitoring by compute host-hours. Snowflake charges a premium on the compute the checks themselves consume. The reason our own pricing is a flat monthly tier by table count is that it is the only one of these a buyer can forecast from information they already have.
Questions buyers ask
Bigeye pricing FAQ
How much does Bigeye cost?
Bigeye costs 45,000 dollars for a 12 month Starter contract covering 100 active monitored tables, or 75,000 dollars for an Enterprise Starter Package covering 300 tables, per its AWS Marketplace listing checked September 15, 2026. A second listing prices observability, classification, lineage and agent trust separately at 75,000, 75,000, 45,000 and 50,000 dollars.
Does Bigeye publish a pricing page?
No. bigeye.com/pricing returned a 404 when checked on September 15, 2026, and Bigeye sells through a demo-led motion with custom pricing set by private offer. The only first-party dollar figures Bigeye publishes anywhere are the contract prices on its two AWS Marketplace listings, which is why this page reproduces them in full.
What counts as one Active Monitored Table for billing purposes?
An active monitored table is a table you have data quality and pipeline monitoring applied to. The Starter Package allows up to 100 and the Enterprise Starter Package up to 300. The listing does not say whether a table watched only for freshness counts the same as one carrying many quality metrics, so ask for that in writing before signing.
What is a Core Lineage Plus Connector, and how many do I get?
A Core Lineage Plus Connector links Bigeye to one of your data sources for lineage mapping across modern and legacy systems. Both packages on the Data Analytics listing include two connectors. If your estate spans more than two sources you want lineage across, connector count is a scoping variable, and on the newer listing lineage is a separate 45,000 dollar package.
What happens if I need to monitor more tables than my package allows?
You move up a package. Each Bigeye package sets a fixed cap, 100 tables on Starter and 300 on Enterprise Starter, and the listings do not describe automatic overage billing. That makes the cost curve a stair rather than a slope, so pick the tier with the growth you expect inside it, and remember the stated vendor refund policy on both listings is No Refunds.
Can I buy just one Bigeye package, or do all four need to be purchased together?
Each Enterprise Starter Package is sold as a separate unit-priced capability, and Bigeye states you can buy one on its own or combine several. Because all pricing is custom and administered through a private offer, the combination you want has to be scoped with Bigeye sales. At list, observability plus lineage is 120,000 dollars and all four packages total 245,000 dollars a year.
How is the Agent Trust Hub package priced?
Agent Trust Hub lists at 50,000 dollars for 12 months and is priced by units tied to an indexed agent session allocation. Each agent conversation from a connected agent platform is indexed and counted against your allocation. It launched in June 2026 and covers agent registry and discovery, session insights, agent-to-data access insights, a policy engine with runtime enforcement, and AI cost insights.
Is there a cheaper alternative to Bigeye for a cloud warehouse team?
Yes, if your estate is Snowflake, BigQuery, Databricks or Redshift rather than a mixed legacy environment. Dataobservability covers freshness, volume, schema, distribution and lineage with published pricing at 99, 299 and 799 dollars a month billed yearly for 50, 250 and 1,500 tables, with a 14 day trial. Bigeye remains the stronger choice for on-prem and legacy lineage coverage.
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