Compare - PostHog VS Google BigQuery

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

About PostHog

Provider of product analytics tools. The features of the product include user behavior analysis, analyzation of trends, funnels, retention, and cohorts, compatibility, secure data access, etc. It also provides data retention, support, SSO/SAML, export to data lakes, pricing model, analytics stack, infrastructure, etc. The clients of the company include HASURA, TINKOFF, Staples, 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
CategoriesProduct AnalyticsData Warehouses
StageEarly StageLate Stage
Target SegmentEnterprise, Mid sizeEnterprise, Mid size
DeploymentOpen sourceSaaS
Business ModelOpen SourceCommercial
PricingFreemium, Contact SalesContact Sales
LocationSan Francisco, CaliforniaUS
Companies using it
Vizzly logoostro logo
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
Contact info
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