Great Expectations
Open-source data quality validation
Data Quality
Open Source
Free
#12 Ranked
Caters to: Free tier available
Open-source data quality validation framework for data teams
Key Features
AI Search
Data Lineage
Data Governance
Collaboration
RBAC
PII Detection
Data Quality
Metadata Automation
Version Control
Notable Features
- Data validation
- Testing framework
- Documentation
- CLI tools
- Python integration
Use Cases
Data quality testing
Data validation
Testing pipelines
Data documentation
What Makes Great Expectations Special
Great Expectations is the leading open-source data quality framework, providing comprehensive testing and validation capabilities for modern data teams.
Integrations
dbt
Airflow
Spark
Pandas
PostgreSQL
BigQuery
Snowflake
Pros & Cons
Pros
- Completely free
- Comprehensive testing
- Python integration
- Active community
- Flexible validation
Cons
- No built-in governance
- Limited lineage
- Requires coding
- No visual interface