Great Expectations
A validation and monitoring system that helps organizations maintain confidence in their data through automated testing and quality tracking
- Also known as
- great-expectations
Available worldwide · Popular in: US, EU, GB
What is Great Expectations?
A data quality platform that enables teams to define, test, and monitor data reliability across pipelines and systems. Combines automated validation with collaborative documentation to surface data issues and maintain organizational trust in data assets.
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 salesPlatform & deployment
Independently observed- CLI
- Web
- Cloud / SaaS
- Self-hosted
Integrations (2)
Independently observed- Pandas Profiling
- Slack
Great Expectations alternatives
Other data observability we track, ranked by the same independent score.
- BigeyeEnterprise platform for real-time data quality monitoring and AI governancelow · 3%
- DatafoldAn AI-powered platform that automates data migration, modernization, and validation for data engineering teamslow · 29%
- ElementaryA unified platform that combines data quality monitoring, lineage tracking, governance enforcement, and metadata discovery with AI-powered automationlow · 42%
- SodaAI-powered data quality monitoring and anomaly detectionlow · 8%
- AnomaloAn AI-powered data quality platform that autonomously monitors, investigates, and resolves data issues without manual effortlow · 41%
- AcceldataAI-powered platform for autonomous data management and governance across hybrid cloud environmentslow · 47%
Compare Great Expectations
Side by side against other data observability, attribute by attribute, with a source on every value.
The Vioscale 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 | 0.05 | 4.2 | ✓ |
| Pricing transparency | 25 | 0.08 | 2.1 | ✓ |
| Integrations | 14 | 0.04 | 0.6 | ✓ |
| Reliability | 0 | 0.07 | 0.0 | - |
| Capabilities | 0 | 0.05 | 0.0 | - |
| Security posture | 5 | 0.07 | 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.
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 2 | mediumsource · 2026-08-20 · 60% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | HqCountry: US · PrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: … | highsource · 2026-08-20 · 75% |
Pricing
Security
| Attribute | Value | Evidence |
|---|---|---|
| Gdpr | Yes | highsource · 2026-08-20 · 75% |