Compare - Google BigQuery VS Onehouse

Here’s the difference between Google BigQuery and Onehouse. 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 Onehouse

Onehouse delivers a new bedrock for your data, through a cloud-native managed lakehouse service built on Apache Hudi, which was created by the founding team while they were at Uber. Onehouse makes it possible to blend the ease of use of a warehouse with the scale of a data lake, by offering a seamless experience for engineers to get their data lakes up and running.

Comparison Table

Overview
CategoriesData WarehousesData Lakes
StageLate StageEarly Stage
Target SegmentEnterprise, Mid sizeSMBs, Mid-size, Enterprise
DeploymentSaaSOpen source
Business ModelCommercialCommercial
PricingContact SalesConatct Sales
LocationUSMenlo Park, California
Companies using it
Mejuri logoBed Bath and Beyond logoMonzo logo1mg logoPachyderm logoStriim logoMasterplan logoFreshly Cosmetic logoBabylon Health logoGetSales logoK Health logoCollectors Universe, logoIncident.io logoManyPets logoDataddo logooptimus mine ltd logoBlaBlaCar logoCircleUp logoAritzia logoHubla logoAstrato Analytics logoosmos logo
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