Great Expectations pricing guide details
Pricing Overview
Great Expectations operates on a genuinely open-source foundation. GX Core, the Python-based framework that has earned over 11,000 GitHub stars, is completely free under the Apache-2.0 license. You can install it today, write expectation suites against SQL, Pandas, or Spark backends, and run data validation across your pipelines without spending a dollar. The project is actively maintained, with the latest release (v1.16.1) shipping in April 2026, so this is not an abandoned framework coasting on past momentum.
The commercial layer is GX Cloud, a managed platform that adds hosted orchestration, a web-based UI, real-time monitoring, and collaboration features on top of the open-source engine. GX Cloud ships in three tiers: a free Developer plan for individual engineers who want to evaluate the managed experience, a paid Team plan for production workloads, and an Enterprise plan with custom pricing for organizations that need SSO, RBAC, and dedicated support. We think this structure is refreshingly straightforward for the data quality category, where opaque enterprise quotes and mandatory demos are the norm. The free core means you can validate data in production today while deciding whether the managed layer is worth the eventual spend.
Plan Comparison
| Feature | GX Core (Open Source) | GX Cloud Developer | GX Cloud Team | GX Cloud Enterprise |
|---|---|---|---|---|
| Price | Free | Free | Contact sales | Contact sales |
| License | Apache-2.0 | Proprietary (free tier) | Proprietary | Proprietary |
| Expectation Suites | Unlimited | Limited | Expanded | Unlimited |
| Data Docs | Self-hosted | Cloud-hosted | Cloud-hosted | Cloud-hosted |
| Backend Support | SQL, Pandas, Spark | SQL, Pandas, Spark | SQL, Pandas, Spark | SQL, Pandas, Spark |
| Pipeline Integrations | Airflow, Dagster, Prefect | Airflow, Dagster, Prefect | Airflow, Dagster, Prefect | Airflow, Dagster, Prefect |
| ExpectAI (Auto-Gen Tests) | No | Yes | Yes | Yes |
| Real-Time Monitoring | No | Basic | Full | Full |
| Collaboration Tools | None | Limited | Team-level | Organization-wide |
| Alerting | DIY | Basic | Advanced | Advanced + custom |
| Infrastructure Management | Self-managed | Managed | Managed | Managed / hybrid |
| Support | Community | Community | Priority | Dedicated |
| SSO / RBAC | No | No | No | Yes |
GX Core remains the right pick for solo engineers and small teams who already run their own orchestration layer. If you are comfortable managing Airflow or Dagster, self-hosting Data Docs, and wiring alerting yourself, you get the full validation engine at zero cost. GX Cloud Developer lets you trial the managed experience without a credit card. The Team tier unlocks full monitoring dashboards, advanced alerting, and priority support, which makes it the natural upgrade path once your team outgrows ad-hoc pipeline checks. Enterprise adds SSO, role-based access control, dedicated support, and the option for hybrid deployment, targeting organizations with strict governance requirements and multiple data teams sharing a single platform.
One detail we appreciate: every tier shares the same validation engine and backend support. Moving from Core to Cloud does not force you to rewrite expectations or adopt a different testing DSL. Your existing Python-based validation logic carries forward.
Hidden Costs and Considerations
GX Core is free to download, but running it in production demands infrastructure you will pay for elsewhere. You need an orchestrator (Airflow, Dagster, or Prefect), compute resources for validation jobs, and storage for Data Docs artifacts. At scale, expectation suite maintenance becomes a real labor cost: someone has to write, review, and update hundreds of checks as schemas evolve. Data Docs hosting adds another line item if you want your documentation accessible beyond local development. GX Cloud shifts the infrastructure burden to the vendor, but the Team and Enterprise plans carry undisclosed pricing that requires a sales conversation, so budget accordingly.
How Great Expectations Pricing Compares
| Tool | Pricing Model | Starting Price | Free Tier | Open-Source Option |
|---|---|---|---|---|
| Great Expectations | Open Source + Cloud Tiers | $0 (GX Core) | Yes (Core + Cloud Developer) | Yes (Apache-2.0) |
| Alation | Enterprise | Quoted; no public rate | No | No |
| Secoda | Freemium | $99/mo | Yes (1 editor, 500 resources) | No |
| Snowplow | Usage-Based | $9/mo | No | Partial |
Great Expectations stands apart from every competitor in this table because of its fully open-source core. Alation publishes no rate and quotes every deal, but it sells to large enterprises and is an entirely different budget category. It is a data catalog first and a quality tool second, so the comparison is only relevant if you need both capabilities under one roof.
Secoda offers a free tier but caps it at one editor and 500 resources, making it a trial environment rather than a production-ready option. Its Premium plan starts at $99 per month, which is reasonable for small teams that want a combined data catalog and documentation layer, but it does not match Great Expectations on validation depth or pipeline integration flexibility.
Snowplow starts at $9 per month with a usage-based model, but it is geared toward behavioral event data pipelines, not generalized data quality validation. If your primary need is validating structured data inside existing ETL or ELT pipelines and you have the engineering capacity to self-manage, Great Expectations at $0 is hard to beat. Teams that want a turnkey managed experience without managing infrastructure should request GX Cloud Team or Enterprise pricing directly from the vendor to get a proper apples-to-apples comparison against Secoda and Snowplow.