Compare - Lightdash VS Google BigQuery

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

About Lightdash

Lightdash removes the gap between your data transformation layer and your data visualization layer. It enables data analysts and engineers to control all of their business intelligence (data transformations/business logic as well as data visualization) in a single place. Lightdash integrates with your dbt project and gives a framework for defining metrics and specifying joins between models all within your existing dbt YAML files. The data output from your dbt project is then available for exploring and sharing in Lightdash.

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
CategoriesMetrics Store, Business Intelligence (BI)Data Warehouses
StageEarly StageLate Stage
Target SegmentMid size, SMBsEnterprise, Mid size
DeploymentOpen sourceSaaS
Business ModelOpen SourceCommercial
PricingFreemiumContact Sales
LocationUKUS
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 logoAirbyte logocloudfit logoJMAN Group logoDecisionTree Analytics logoDecisionTree Analytics & Services logo
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