Compare - Google BigQuery VS PipeRider

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

With PipeRider you can profile your data sources, create highly customizable data quality assertions, and generate insightful reports. It allows you to define the shape of your data once, and then use the data checking functionality to alert you to changes in your data quality.

Comparison Table

Overview
CategoriesData WarehousesData Quality Monitoring
StageLate StageEarly Stage
Target SegmentEnterprise, Mid sizeSMB's, Mid-Size
DeploymentSaaSOpen Source
Business ModelCommercialOpen Source
PricingContact SalesFreemium
LocationUSTaipei City, Taiwan
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
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