Here’s the difference between Lightdash and Deepnote. The comparison is based on pricing, deployment, business model, and other important factors.
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.
Deepnote provides programming notebooks for developers. The product offers variables & plots, code intelligence, real-time collaboration. It also provides integration with GitHub and GitLab, Amazon S3, MongoDB, GCS buckets, PostgreSQL connections. It offers a data science book that provides deployment. Also, it enables to review of project work, visualizes data, and offers intelligent completion solutions.
|Categories||Metrics Store, Business Intelligence (BI)||Data Workspace/ Collaboration|
|Stage||Early Stage||Early Stage|
|Target Segment||Mid size, SMBs||Mid size, Enterprise|
|Business Model||Open Source||Commercial|
|Pricing||Freemium||Freemium, Contact Sales|
|Location||UK||San Francisco, California|
|Companies using it|