Here’s the difference between dbt and Apache Hudi. 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.
Hudi is a rich platform to build streaming data lakes with incremental data pipelines on a self-managing database layer, while being optimized for lake engines and regular batch processing.
Overview | ||
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Categories | Data Modelling and Transformation | Data Lakes |
Stage | Early Stage | Early Stage |
Target Segment | Enterprise, Mid size | Mid Size, Enterprise |
Deployment | SaaS | Open Source |
Business Model | Open Source | Open Source |
Pricing | Free trial, Contact Sales | Freemium |
Location | US | California, US |
Companies using it | ||
Contact info |