Here’s the difference between dbt and Acho. 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.
Acho offers a cloud-based data warehouse solution. It offers a solution where the data can be compiled, engineered, and shared within the team without coding. It also enables the users to transform data resources into assets with a point-and-click interface and tools such as annotations, worklog, and visualizations. Some of the features include network visibility, privilege separation, data encryption, etc.
Overview | ||
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Categories | Data Modelling and Transformation | Operational Analytics , Business Intelligence (BI) |
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, Free trial |
Location | US | Boston, US |
Companies using it | ||
Contact info |