Here’s the difference between dbt and Atlan. The comparison is based on pricing, deployment, business model, and other important factors.
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.
Atlan is a modern data collaboration workspace (like Github for engineering or Figma for design). By acting as a virtual hub for data assets ranging from tables and dashboards to models & code, Atlan enables teams to create a single source of truth for all their data assets, and collaborate across the modern data stack through deep integrations with tools like Slack, BI tools, data science tools and more. Atlan has been recognized as a Gartner Cool Vendor in the inaugural report on DataOps, one of the top 3 companies globally.
Overview | ||
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Categories | Data Modelling and Transformation | Data Discovery, Data Cataloging |
Stage | Early Stage | Early Stage |
Target Segment | Enterprise, Mid size | Enterprise, Mid size |
Deployment | SaaS | SaaS |
Business Model | Open Source | Commercial |
Pricing | Free trial, Contact Sales | Free trial |
Location | US | Singapore |
Companies using it | ||
Contact info |