Compare - Preset VS Google BigQuery

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

About Preset

Preset provides data analytics platform for teams. It is an open-source platform that allows users to analyze and provides actionable insights about the data. Its products include Superset that enables visualize data and build dashboards to interpret and show hidden patterns from the data. It enables users to share reports and insights with teams and explore data analytics solutions. It can be integrated with Amazon RedShift, Google BigQuery, Presto and Druid.

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
StageEarly StageLate Stage
Target SegmentMid sizeEnterprise, Mid size
DeploymentSaaSSaaS
Business ModelCommercialCommercial
PricingContact SalesContact Sales
LocationCalifornia, USUS
Companies using it
Pachyderm logoMejuri logoBed Bath and Beyond logoMonzo logo1mg logoStriim logoFreshly Cosmetic logoMasterplan logoBabylon Health logoK Health logoGetSales logoCollectors Universe, logoIncident.io logoAritzia logoHubla logoAstrato Analytics logoosmos logoManyPets logoDataddo logooptimus mine ltd logoBlaBlaCar logoCircleUp logoDecisionTree Analytics logoCoverflex logocloudfit logoJMAN Group logoAirbyte logoDecisionTree Analytics & Services logoworkiz logoFragment Studio logoLiTech logoostro logoBitmetric logo
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