Compare - Google BigQuery VS Dremio

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

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.

About Dremio

Dremio is a provider of analytical processing data lake engines. The features of the product include data security and control, SSO authentication, automatic backups, predictive pipelining, inbound impersonation, workload management, etc. The clients of the company include Henkel, Honeywell, NCR, UBS, Verisk, DIAGEO, etc.

Comparison Table

Overview
CategoriesData WarehousesData Warehouses, Data Lakes
StageLate StageMid Stage
Target SegmentEnterprise, Mid sizeEnterprise, Mid size
DeploymentSaaSSaaSOn Prem
Business ModelCommercialCommercial
PricingContact SalesFree trial
LocationUSCalifornia, US
Companies using it
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
Astrato Analytics logo
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