Comparison

Elementary vs Great Expectations

No clear leader: Elementary (50.4) and Great Expectations (45.5) are within the 5-point margin; treat as a tie. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.

Machine formatsMarkdownJSONGraphQLMarkdown is open. JSON and GraphQL need a free key.
Elementary50
Great Expectations46
Score
vioscaleAI score
Elementary50 / 100medium · 55%
Great Expectations46 / 100low · 25%
Pricing
Free tier
Elementary✓
Great Expectations✓
Model
Elementaryfreemium
Great Expectationsfreemium
Price level
Elementarylow
Great Expectationslow
Transparent
Elementary✗
Great Expectations✗
Integrations
Count
Elementary3
Great Expectations1
Security
Disclosure policy
Elementary✓
Great Expectations–
Gdpr
Elementary✓
Great Expectations✓
Soc2
Elementary✓
Great Expectations–
Trust center
Content
Faq
Elementary7 items
Great Expectations6 items

Capabilities

Feature-by-feature on the axes that matter for data observability. “-” means undocumented, not absent.

Capabilities
Freshness monitoring
Elementary✓
Great Expectations✓
Volume monitoring
Elementary✓
Great Expectations-
Schema change detection
Elementary✓
Great Expectations-
Data quality rules
Elementary✓
Great Expectations✓
ML anomaly detection
Elementary✓
Great Expectations-
Lineage impact analysis
Elementary✓
Great Expectations-
Root cause analysis
Elementary✓
Great Expectations-
Incident management workflow
Elementary-
Great Expectations-
Dbt native
Elementary✓
Great Expectations-
Streaming support
Elementary-
Great Expectations-
Deployment model
Elementary-
Great ExpectationsSelf hosted
Open source
Elementary✓
Great Expectations✓
Pricing model
Elementary-
Great ExpectationsOpen source self host

What each one is

The product in its own terms, so the numbers below have context.

Elementary

A control plane that consolidates metadata, lineage, test results, and health signals to enable reliable data for AI workflows. Available as an open-source self-hosted solution or as a managed cloud service with advanced ML-driven monitoring.

Independently observed

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.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

Elementary

SubscriptionFree tier30-day trial

Subscription pricing by seats and environments. Free 30-day trial available. Enterprise pricing requires custom quote.

  • EssentialsFree
    • AI Agents
    • Automated Monitors
    • Anomaly Detection
    • Column Level Lineage
    • Performance Monitoring
    • +7 more
  • ScaleContact sales
    • All Essentials features
    • AI Agents
    • Automated Monitors
    • Anomaly Detection
    • Column Level Lineage
    • +8 more
  • EnterpriseContact sales
    • All Scale features
    • SSO & RBAC
    • Advanced Deployment Options
    • Custom Enterprise Features
    • Dedicated Customer Success Engineer
    • +2 more
as of verify ↗

Great Expectations

HybridFree tier

Free Developer tier; Team and Enterprise plans available

  • DeveloperFree
  • Team-
  • EnterpriseContact sales
as of verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platforms
Web
Elementary✗
Great Expectations✓
CLI
Elementary✓
Great Expectations✓
Deployment
Cloud / SaaS
Elementary✓
Great Expectations✓
Self-hosted
Elementary✓
Great Expectations✓

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

In common (1)
  • Slack

Elementary

12 total - 11 not shared
  • dbt
  • Jira
  • PagerDuty
  • Microsoft Teams
  • HubSpot
  • PostHog
  • Common Room
  • Google
  • OKTA
  • Onelogin
  • Active Directory
Independently observed

Great Expectations

2 total - 1 not shared
  • Pandas Profiling
Independently observed
Still deciding?

Elementary or Great Expectations: which one depends on you

A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.

Free to run, no account needed to start. How the evaluation works

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.