Great Expectations
Systematically validate your data using test-driven quality checks
- Also known as
- great-expectations
Available worldwide · Popular in: US, EU, GB
What is Great Expectations?
An open-source framework for defining and automating data quality tests that helps teams identify data issues early and maintain documentation about their data through validated results.
Great Expectations pricing
Plans, per-tier features and add-ons, dated and linked to live pricing. Pricing changes often; always verify at source before you rely on it.
Free Developer tier; Team and Enterprise plans available
Developer
FreeTeam
Enterprise
Contact salesWhat Great Expectations does
The capabilities that matter for data observability, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Freshness monitoring
- ✓
- Volume monitoring
- -
- Schema change detection
- -
- Data quality rules
- ✓
- ML anomaly detection
- -
- Lineage impact analysis
- -
- Root cause analysis
- -
- Incident management workflow
- -
- Dbt native
- -
- Streaming support
- -
- Deployment model
- Self hosted
- Open source
- ✓
- Pricing model
- Open source self host
Platform & deployment
Independently observed- CLI
- Web
- Cloud / SaaS
- Self-hosted
Integrations (2)
Independently observed- Pandas Profiling
- Slack
Great Expectations FAQ
Common questions about Great Expectations, answered from independent, dated evidence.
What is Great Expectations?
Great Expectations provides a Python-based data quality platform with both open-source (GX Core) and cloud-based (GX Cloud) options. It helps organizations define, monitor, and act on data quality rules to ensure data reliability across pipelines and for AI systems. It is indexed under Data Observability.
Is Great Expectations free?
Great Expectations offers a free tier, so you can start without paying. Paid plans are also available: Developer, Team and Enterprise. Pricing changes often, so verify at source before relying on it.
What platforms does Great Expectations support?
Great Expectations supports the web and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.
Can Great Expectations be self-hosted?
Yes. Great Expectations can be deployed cloud / SaaS and self-hosted, so it does not have to run on the vendor's infrastructure.
What security certifications does Great Expectations have?
We have independently confirmed GDPR for Great Expectations. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as Great Expectations not holding them. Always confirm compliance directly before you rely on it.
Where is Great Expectations available?
Great Expectations is available worldwide. Its primary markets are the United States, the EU and the United Kingdom. The vendor is headquartered in the United States.
Great Expectations alternatives
Other data observability we track, ranked by the same independent score.
- AcceldataAI-powered platform that automates data quality monitoring, compliance enforcement, and incident resolution across enterprise data environmentsmedium · 61%
- ElementaryA unified platform for data observability, quality assurance, and governance integrated with data pipelinesmedium · 55%
- BigeyeEnterprise platform for real-time data quality monitoring and AI governancelow · 3%
- DatafoldAutomated data comparison and validation toolslow · 42%
- TelmaiAI-driven continuous data quality monitoring for data lakes and lakehouseslow · 29%
- Monte CarloA platform for monitoring, troubleshooting, and optimizing data and AI systems at scalelow · 7%
Compare Great Expectations
Side by side against other data observability, attribute by attribute, with a source on every value.
The vioscaleAI score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Great Expectations, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Price level | 80 | 0.04 | 3.3 | ✓ |
| Capabilities | 58 | 0.04 | 2.2 | ✓ |
| Pricing transparency | 25 | 0.05 | 1.4 | ✓ |
| Integrations | 9 | 0.04 | 0.4 | ✓ |
| Reliability | 0 | 0.07 | 0.0 | - |
| Security posture | 5 | 0.12 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Content
| Attribute | Value | Evidence |
|---|---|---|
| Faq | 6 items | mediumsource · 2026-09-10 · 64% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Open source: Yes · Pricing model: open-source-self-host · Deployment model: self-hosted · Data quality rules: Yes · Freshness monitoring: Yes | mediumsource · 2026-09-29 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 1 | mediumsource · 2026-09-06 · 60% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | HqCountry: US · PrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: … | highsource · 2026-09-06 · 75% |
Pricing
Security
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