Here’s the difference between Amundsen and Great Expectations. The comparison is based on pricing, deployment, business model, and other important factors.
Open-source data discovery and metadata platform. Data engineers and analysts can search for data within the organization by a simple text search and the page rank search algorithm recommends results based on names, descriptions, tags, and querying/viewing activity on the table/dashboard. Also, it allows to build trust in data using automated metadata.
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.
Overview | ||
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Categories | Data Discovery, Data Cataloging | Data Quality Monitoring |
Stage | Early Stage | Early Stage |
Target Segment | Mid size | Mid size |
Deployment | On Prem | On Prem |
Business Model | Open Source | Open Source |
Pricing | Free trial | Freemium |
Location | US | California, US |
Companies using it | ||
Contact info |