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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Mejuri logoStriim logoMasterplan logoMonzo logo1mg logoPachyderm logoBed Bath and Beyond logoFreshly Cosmetic logoK Health logoCollectors Universe, logoBabylon Health logoGetSales logooptimus mine ltd logoIncident.io logoManyPets logoBlaBlaCar logoCircleUp logoHubla logoosmos logoDataddo logoAstrato Analytics logoAritzia logoDecisionTree Analytics & Services logoLiTech logoAirbyte logoFragment Studio logocloudfit logoJMAN Group logoostro logoworkiz logoCoverflex logoDecisionTree Analytics logoBitmetric logo
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