Here’s the difference between Upsolver and dbt. The comparison is based on pricing, deployment, business model, and other important factors.
Upsolver is the only no-code data lake engineering platform. It empowers any SQL-savvy data practitioner to design and deliver big data projects on an AWS or Azure in days, not the months required by hand-coding and configuring Spark implementations. Upsolver is used by the world's most data-intensive organizations, including Sisense, ironSource, and AppsFlyer, for preparing petabyte-scale streaming datasets.
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.
Overview | ||
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Categories | Data Modelling and Transformation, Data Lakes, Data Warehouses | Data Modelling and Transformation |
Stage | Mid Stage | Early Stage |
Target Segment | Mid Size, Enterprise | Enterprise, Mid size |
Deployment | SaaS | SaaS |
Business Model | Commercial | Open Source |
Pricing | Free Trial, Contact Sales | Free trial, Contact Sales |
Location | California, US | US |
Companies using it | ||
Contact info |