BUYER GUIDE
Great Expectations Pricing: GX Cloud Pricing, Great Expectations Cost, and What to Buy Instead
Search for Great Expectations pricing and the first result is still the GX Cloud pricing page, with a free Developer plan and Team and Enterprise plans marked custom. The page loads, the plans are listed, and none of them can be bought. FICO acquired GX Cloud and it stopped being publicly available on June 1, 2026. What is left to price is GX Core, the Apache-2.0 Python library, which has no license fee and a real running cost. This page lays out what each option costs today, what the withdrawn plans used to include, and what a team that relied on the hosted product pays for a managed replacement.
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How much does GX Cloud cost?
GX Cloud cannot be purchased today. FICO acquired it and it has not been publicly available since June 1, 2026, even though its pricing page still lists a free Developer plan and custom-priced Team and Enterprise plans. GX Core, the open source library, is free under Apache-2.0, but you pay for the compute, scheduling, alerting and engineering time to run it. Managed replacements start at 99 dollars a month billed yearly.
Side by side
Great Expectations pricing compared
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| Option | What you pay | What you get | The catch |
|---|---|---|---|
| GX Core (open source) | 0 USD license, Apache-2.0 | Python library, unlimited expectations | You host, schedule, alert and maintain it |
| GX Cloud Developer | Listed as free | 5 validated data assets a month, up to 3 users | Withdrawn June 1, 2026 |
| GX Cloud Team | Custom, no figure published | Up to 10 users, 1 year audit log retention | Withdrawn June 1, 2026 |
| GX Cloud Enterprise | Custom, no figure published | Users by contract, audit log for the life of the term | Withdrawn June 1, 2026 |
| FICO platform | Not published | GX Cloud as the base of FICO data quality | An enterprise FICO sale, not self-serve |
| AWS Marketplace | No first-party GX listing | A third-party AMI bundling GX Core with JupyterLab | Packaging, not a Great Expectations product |
| Self-hosting GX Core | Your cloud bill plus engineer hours | Compute, an orchestrator, results storage | Grows with every suite and schedule |
| Soda Team | 750 USD a month | Unlimited users, pay-as-you-go processing units | SSO, RBAC and audit logs are Enterprise-only |
| Monte Carlo | 50,000 USD per 12 months (AWS) | Enterprise data observability | Annual contract, no price on its own site |
| DataObservability Starter | 99 USD a month, billed yearly | 50 tables, all five pillars, Slack | One warehouse, 7 days of history |
| DataObservability Team | 299 USD a month, billed yearly | 250 tables, dbt-native monitors, PagerDuty | One warehouse, 90 days of history |
| DataObservability Scale | 799 USD a month, billed yearly | 1,500 tables, column-level lineage, SSO | Multi-warehouse, audit log included |
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 way to pay for Great Expectations, and what replaces it
The pricing page is live and the product behind it is not
The GX Cloud pricing page at greatexpectations.io still renders in full when checked in September 2026. It lists three plans. Developer is shown as free, for individuals and early projects, with five validated data assets included per month and up to three users. Team is custom priced, for up to ten users, with auditing and logging retained for one year. Enterprise is custom priced, with users by contract, audit logging for the life of the term, and a listed 99.5 percent uptime SLA and five hours of professional services a year at the top tier. None of it is for sale. On May 6, 2026 Great Expectations announced that FICO had acquired GX Cloud to become the foundation of its next generation data quality capability, and that GX Cloud would no longer be publicly available beginning June 1. The pricing page is a record of what the product was, and it is still the top result for the query, which is why so many buyers arrive at a sign-up flow that goes nowhere.
GX Core is free to license and not free to run
GX Core is licensed Apache-2.0, published on PyPI, and actively maintained. Version 1.23.1 shipped on September 18, 2026, supporting Python 3.10 through 3.13, and Fivetran became steward of the project and its community in May 2026. The license will not change on you, which is the real value of open source in a stack you depend on. What the license does not cover is everything the hosted product used to do around it: somewhere for validations to run, an orchestrator such as Airflow to schedule them, storage for results, a path from a failed expectation to a Slack message or a page, and a person who keeps each suite accurate as tables change. That work is the actual price of Great Expectations in 2026, and it is paid in engineer hours and cloud compute rather than an invoice.
Put a number on the hours before you call it free
The honest way to compare GX Core to a paid tool is to price the time. Count the hours per month your team spends writing new expectations, fixing ones that fail for reasons unrelated to data quality, keeping the scheduler healthy and wiring alerts, then multiply by your loaded engineering rate. As an illustration only, with numbers you should replace with your own: ten hours a month at 100 dollars an hour is 12,000 dollars a year before compute. Our Team plan is 3,588 dollars a year for 250 tables, and our Scale plan is 9,588 dollars a year for 1,500. If your real figure lands far below those, keep GX Core. If it lands above them, the free option is the expensive one.
What a hosted replacement actually costs, from published figures
Few vendors in this category publish a price, so the comparison rests on the numbers that are public. Soda lists a Team plan at 750 dollars a month on its own site, with single sign-on, audit logs and role-based access reserved for Enterprise. Monte Carlo lists a 12 month contract at 50,000 dollars on AWS Marketplace and publishes nothing on its own site. Our plans are 99, 299 and 799 dollars a month billed yearly, or 119, 359 and 959 billed monthly, each with a 14 day trial and no card. Those are the three anchors a team leaving GX Cloud can check without a sales call.
How it works
From connected to caught
Decide which part of GX Cloud you were paying for
Teams used GX Cloud for different reasons. Some wanted a UI so analysts could author and review expectations without Python. Some wanted hosted validation runs and a results history. Some wanted alerting without building it. Write down which of these mattered, because each one has a different replacement. Assertion authoring is still available in GX Core. Hosting, history and alerts are what you now build or buy.
Price the self-hosted path honestly
List the infrastructure GX Core needs in your environment: the compute that runs validations, the orchestrator that schedules them, where results are stored and how failures reach a person. Then estimate the monthly engineer hours to keep suites current. Put both on one line as an annual figure. That is the number to compare against a subscription, not zero.
Measure coverage, not just cost
Count how many warehouse tables are covered by any expectation today, and how many are not. Most teams find the covered share is small, because every expectation has to be written by hand. A monitoring tool that profiles every table automatically changes the comparison, since you are no longer paying per rule written but for coverage of the whole warehouse.
Trial a replacement on your worst tables
Start a 14 day trial on the tables that have caused incidents, connect read-only to Snowflake, BigQuery, Databricks or Redshift, and let monitors generate for freshness, volume, schema and distribution. Keep the GX suites that encode real business rules running beside it. After two weeks you will know whether the replacement catches what your suites missed.
What happened to GX Cloud, in the order it happened
Great Expectations published an update to its community on May 6, 2026. It said Great Expectations and Fair Isaac Corporation had completed a definitive agreement for FICO to acquire GX Cloud and incorporate it into the FICO platform as the foundation of its next generation data quality capability. It said GX Cloud would no longer be publicly available beginning June 1, and that current GX Cloud users should already have received information about timelines, support and next steps. In the same announcement, Fivetran became the new steward of the open source community and the GX Core project. The announcement did not publish pricing for the FICO platform or any path for new customers to buy GX Cloud, and we have not found one since.
Why third-party pricing listings are now misleading
Review and directory sites still describe Great Expectations as having a free plan and paid upgrades, because that was true for years. Some copy the GX Cloud tiers directly from the vendor page, which is still live. A buyer reading them in late 2026 could reasonably conclude that a hosted Team plan is available on request. It is not. When you evaluate a tool, check the date of the source and whether the product can actually be purchased today, not just whether a pricing page loads.
No first-party Great Expectations listing on AWS Marketplace
Searching AWS Marketplace in September 2026 returns a third-party machine image from Intuz that packages Great Expectations with JupyterLab and charges for configuration and maintenance of that environment, plus a data validation toolkit from another vendor that can integrate GX. Neither is a first-party GX product, and buying one does not get you the hosted features GX Cloud offered. Treat them as convenience packaging for GX Core, priced on top of the EC2 instance it runs on.
Where GX Core is still the right answer, stated plainly
If you have a handful of critical tables, Python engineers who already maintain suites they trust, and rules that come from the business, such as an order total equaling the sum of its lines, keep GX Core. It is precise, versioned alongside your code, and costs nothing to license. It can also block a bad batch inside a pipeline, which we do not do: we watch tables after they land. Many teams run both, with expectations for the rules they can state and monitoring for the failures nobody predicted, like a table that silently stops refreshing.
What you get for 99 to 799 dollars a month instead
DataObservability connects read-only to Snowflake, BigQuery, Databricks or Redshift and generates freshness, volume, schema and distribution monitors on every table without anyone writing a rule. Starter is 99 dollars a month billed yearly for one warehouse and up to 50 tables, with Slack alerts and 7 days of history. Team is 299 for up to 250 tables with dbt-native auto-monitors, end-to-end lineage, ML anomaly detection, PagerDuty and 90 days of history. Scale is 799 for up to 1,500 tables across multiple warehouses, with column-level lineage, SSO, an audit log and priority support. Every plan starts with a 14 day trial and no credit card, which is the hosted, priced option the GX Cloud page no longer offers.
Questions buyers ask
Great Expectations pricing FAQ
Is GX Cloud pricing still valid?
No. The GX Cloud pricing page still loads and lists Developer, Team and Enterprise plans, but FICO acquired GX Cloud and it has not been publicly available since June 1, 2026. New customers cannot sign up for any of those plans. Existing customers were contacted directly about timelines and next steps, according to the May 6, 2026 announcement from Great Expectations.
What did the GX Cloud Developer plan include?
The Developer plan, still shown on the pricing page, was listed as free for individuals and early-stage projects. It included five validated data assets per month, up to three users per organization, database and warehouse validation, unlimited expectations and validations, and limited AI-enabled recommendations. It is no longer available to new users since GX Cloud was withdrawn on June 1, 2026.
How much does it cost to self-host GX Core?
GX Core has no license fee under Apache-2.0. The cost is the infrastructure and time around it: compute for validation runs, an orchestrator such as Airflow, storage for results, an alerting path, and engineer hours to write and maintain expectation suites. Estimate those hours monthly, multiply by your loaded rate, and add compute to get a comparable annual figure.
Can I buy Great Expectations on AWS Marketplace?
Not from Great Expectations itself. A September 2026 search of AWS Marketplace shows a third-party machine image from Intuz that bundles GX Core with JupyterLab and charges for configuration and maintenance, plus unrelated validation toolkits that can call GX. None of them is a first-party Great Expectations product or a replacement for the hosted GX Cloud features.
Does FICO sell GX Cloud now?
FICO acquired GX Cloud to serve as the foundation of the data quality capability in its own platform. Great Expectations did not publish pricing or a sign-up path for new customers, and we found none on public pages in September 2026. In practice, getting GX Cloud today means an enterprise conversation with FICO about its platform rather than a self-serve plan.
What is a paid alternative to GX Cloud?
For warehouse monitoring on Snowflake, BigQuery, Databricks or Redshift, DataObservability publishes plans at 99, 299 and 799 dollars a month billed yearly, with a 14 day trial and no card. Soda lists a Team plan at 750 dollars a month. Monte Carlo lists a 50,000 dollar annual contract on AWS Marketplace. Each covers the hosted monitoring GX Cloud used to provide.
Is GX Core worth it for a small data team?
It can be, if the team writes Python comfortably and has a short list of tables with clear business rules. The license is free and the project is healthy, with version 1.23.1 released September 18, 2026. It becomes expensive when suites multiply, tables change often, or nobody owns the scheduler, because every hour of maintenance is a real cost.
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