Compare - dbt VS Google BigQuery

Here’s the difference between dbt and Google BigQuery. The comparison is based on pricing, deployment, business model, and other important factors.

About dbt

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.

About Google BigQuery

BigQuery is a fully-managed, serverless data warehouse that enables scalable analysis over petabytes of data. It is a Platform as a Service that supports querying using ANSI SQL. It also has built-in machine learning capabilities. BigQuery was announced in May 2010 and made generally available in November 2011.

Comparison Table

Overview
CategoriesData Modelling and TransformationData Warehouses
StageEarly StageLate Stage
Target SegmentEnterprise, Mid sizeEnterprise, Mid size
DeploymentSaaSSaaS
Business ModelOpen SourceCommercial
PricingFree trial, Contact SalesContact Sales
LocationUSUS
Companies using it
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Pachyderm logoMejuri logoBed Bath and Beyond logoMonzo logo1mg logoStriim logoFreshly Cosmetic logoMasterplan logoBabylon Health logoK Health logoGetSales logoCollectors Universe, logoIncident.io logoAritzia logoHubla logoAstrato Analytics logoosmos logoManyPets logoDataddo logooptimus mine ltd logoBlaBlaCar logoCircleUp logoDecisionTree Analytics logoCoverflex logocloudfit logoJMAN Group logoAirbyte logoDecisionTree Analytics & Services logoworkiz logoFragment Studio logoLiTech logoostro logoBitmetric logo
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