Here’s the difference between dbt and Onehouse. 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.
Onehouse delivers a new bedrock for your data, through a cloud-native managed lakehouse service built on Apache Hudi, which was created by the founding team while they were at Uber. Onehouse makes it possible to blend the ease of use of a warehouse with the scale of a data lake, by offering a seamless experience for engineers to get their data lakes up and running.
Overview | ||
---|---|---|
Categories | Data Modelling and Transformation | Data Lakes |
Stage | Early Stage | Early Stage |
Target Segment | Enterprise, Mid size | SMBs, Mid-size, Enterprise |
Deployment | SaaS | Open source |
Business Model | Open Source | Commercial |
Pricing | Free trial, Contact Sales | Conatct Sales |
Location | US | Menlo Park, California |
Companies using it | ||
Contact info |