Here’s the difference between dbt and Noteable. 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.
Noteable offers a cloud-based, collaborative, and secure notebook solution with enterprise-ready features including a large set of flexible deployment options. Its modern UI with native SQL support and no-code visualizations empowers non-traditional users to work with data in new ways.
Overview | ||
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Categories | Data Modelling and Transformation | Data Workspace/ Collaboration |
Stage | Early Stage | Early Stage |
Target Segment | Enterprise, Mid size | Mid-Size, Enterprise |
Deployment | SaaS | SaaS |
Business Model | Open Source | Commercial |
Pricing | Free trial, Contact Sales | Contact Sales |
Location | US | San Francisco, CA |
Companies using it | ||
Contact info |