Here’s the difference between dbt and Astrato. 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.
Astrato is a flexible data layer designed to enable everyone, everywhere to make live data decisions. With direct query access to Snowflake’s data cloud, Astrato unlocks insights across your organisation and provides a creator-centric layer for your data visualisation.
Overview | ||
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Categories | Data Modelling and Transformation | Business Intelligence (BI) |
Stage | Early Stage | Early Stage |
Target Segment | Enterprise, Mid size | SMBs, Mid-Size, Enterprise |
Deployment | SaaS | SaaS |
Business Model | Open Source | Commercial |
Pricing | Free trial, Contact Sales | Freemium, Contact Sales |
Location | US | London |
Companies using it | ||
Contact info |