Compare - Continual VS Google BigQuery

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

About Continual

Continual is the missing AI layer for the modern data stack. Get continually improving predictions – from customer churn to inventory forecasts – directly in your data warehouse. No complex engineering required.

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
CategoriesFeature StoreData Warehouses
StageEarly StageLate Stage
Target SegmentMid size, EnterpriseEnterprise, Mid size
DeploymentSaaSSaaS
Business ModelCommercialCommercial
PricingContact SalesContact Sales
LocationSan Francisco, CaliforniaUS
Companies using it
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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