Compare - Looker VS Google BigQuery

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

About Looker

Looker is a data integration and visualization solutions, provider. It offers cloud-based data integration and visualization platform to enterprises. It enables businesses to access data that is connected from multiple different sources. This includes cloud applications such as Salesforce, Zendesk, business planning applications, and web analytics tools. It also provides a custom visualization library and pre-modeled external datasets such as weather and demographics data. It provides solutions to industries including eCommerce, media, healthcare, and gaming among others. Some of its notable clients include Buzzfeed, Intercom, Twilio, and Hubspot, etc.

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
CategoriesBusiness Intelligence (BI)Data Warehouses
StageLate StageLate Stage
Target SegmentEnterprise, Mid sizeEnterprise, Mid size
DeploymentSaaSOn PremSaaS
Business ModelCommercialCommercial
PricingContact SalesContact Sales
LocationCalifornia, USUS
Companies using it
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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 logoAirbyte logocloudfit logoJMAN Group logoDecisionTree Analytics logoDecisionTree Analytics & Services logoworkiz logoLiTech logoCoverflex logoFragment Studio logoostro logoBitmetric logo
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