Great Expectations
Great Expectations (GX) is a data quality platform designed to help data teams catch data problems early, maintain stakeholder alignment, and deliver reliable data for…
Our verdict
Who it's for
Ensure governance and trust in AI with robust data quality across your pipelines.
Who should look elsewhere
Specific pricing details for Team and Enterprise solutions are not publicly available, requiring direct engagement to understand costs.
Pros
- +Catches data problems early in the pipeline
- +Helps align technical and business teams on data quality
- +Flexible and integrates with existing data workflows
- +Offers both open-source and cloud solutions
- +Automates data quality checks and test generation
Cons
- −Specific pricing details for Team and Enterprise solutions are not publicly available, requiring direct engagement to understand costs.
- −The primary focus is on data quality testing and validation, which might not encompass all aspects of a broader data governance strategy without integration with other tools.
- −While built on open source, the advanced features and managed service (GX Cloud) require a commercial offering, potentially limiting the full experience for purely open-source users.
Key features
- ✓Validate critical data across pipelines
- ✓Share a common language for data quality (Expectations)
- ✓Built-in observability and collaboration tools (GX Cloud)
- ✓Auto-generate tests using ExpectAI
- ✓Monitor data health in real time
- ✓Get alerts before bad data causes damage
- ✓Integrates with existing data stack and CI/CD
- ✓Automate checks for consistency and compliance
Pricing
| Plan | Price | Billing | Notes |
|---|---|---|---|
| Developer | — | month | — |
| Team | — | month | — |
| Enterprise | — | month | — |