Here’s the difference between Alation and dbt. 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.
Dbt is an analytics engineering workflow tool. The command line based build tool enables data analysts and engineers to transform data in their warehouse and can take ownership of the entire analytics engineering workflow, from writing data transformation code to deployment and documentation. It automates data quality testing, deploys analytics code, and delivers data with documentation.
Overview | ||
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Categories | Data Discovery, Data Cataloging | Data Modelling and Transformation |
Stage | Late Stage | Early Stage |
Target Segment | Enterprise, Mid size | Enterprise, Mid size |
Deployment | SaaSOn Prem | SaaS |
Business Model | Commercial | Open Source |
Pricing | Free trial | Free trial, Contact Sales |
Location | California, US | US |
Companies using it | ||
Contact info |