Here’s the difference between Alation and Great Expectations. The comparison is based on pricing, deployment, business model, and other important factors.
Alation provides a data cataloging platform. It automatically builds a catalog of useful data documentation, covering all of the data sources, and allows users to collaborate and work on the data. It processes enterprise unstructured data by centralizing knowledge into a single place using machine learning and human analysts. The search can be made using keywords in plain English. Enables users to access relevant information (including experts, lineage, keys and indexes, relevant queries) and documentation on all tables, across the organization’s data sources. The clients include PepsiCo, Dow, Fox Networks, BMW and others.
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 | Late Stage | Early Stage |
Target Segment | Enterprise, Mid size | Mid size |
Deployment | SaaSOn Prem | On Prem |
Business Model | Commercial | Open Source |
Pricing | Free trial | Freemium |
Location | California, US | California, US |
Companies using it | ||
Contact info |