Great Expectations
Data Quality
Open source data validation framework for testing and documenting data pipelines.
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Product Overview
Great Expectations
Open-source data quality framework that helps data teams test, document, and monitor data pipelines. Provides a Python-based solution for data validation and profiling with extensive built-in expectations.
Unique Value Proposition
The most comprehensive open-source data quality framework with 300+ built-in expectations and automatic data documentation. Enables data teams to define data quality as code and integrate testing into CI/CD pipelines.
Categories
Target Market
Industries
Company Size
50 - 10000 employees
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Pricing Information
Pricing Model
tiered
30-day trial period
Typical Contract Length
12 months
Key Features
Integrations
Security Features
Implementation & Support
Implementation Time
2 weeks (14 days)
Deployment Options
Support Hours
Business Hours