Here’s the difference between Atlan and Lightdash. The comparison is based on pricing, deployment, business model, and other important factors.
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.
Lightdash removes the gap between your data transformation layer and your data visualization layer. It enables data analysts and engineers to control all of their business intelligence (data transformations/business logic as well as data visualization) in a single place. Lightdash integrates with your dbt project and gives a framework for defining metrics and specifying joins between models all within your existing dbt YAML files. The data output from your dbt project is then available for exploring and sharing in Lightdash.
|Categories||Data Discovery, Data Cataloging||Metrics Store, Business Intelligence (BI)|
|Stage||Early Stage||Early Stage|
|Target Segment||Enterprise, Mid size||Mid size, SMBs|
|Business Model||Commercial||Open Source|
|Companies using it|