Compare - Datafold VS Great Expectations

Here’s the difference between Datafold and Great Expectations. The comparison is based on pricing, deployment, business model, and other important factors.

About Datafold

Datafold offers a cloud-based quality assurance & monitoring solution for analytical data. The solution enables the users to automate the quality assurance of analytical data. It verifies the data to prevent data corruption every time a developer makes a change that impacts the data in production. It also provides integration over PostgreSQL, etc.

About Great Expectations

Great Expectations provides open-source enterprise data management solutions. It helps data teams eliminate pipeline debt, through data testing, documentation, and profiling. It maintains up-to-date data documentation by rendering expectations directly into clean, human-readable documentation. Users can join to GitHub and Slack community groups.

Comparison Table

Overview
CategoriesData Quality MonitoringData Quality Monitoring
StageEarly StageEarly Stage
Target SegmentEnterprise, Mid sizeMid size
DeploymentSaaSOn Prem
Business ModelCommercialOpen Source
PricingFreemiumFreemium
LocationCalifornia, USCalifornia, US
Companies using it
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Contact info
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