Compare - Google BigQuery VS Lakefs

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

Cloud-based data analytics and data lake management platform. The features of the solution include databases, data science, data collection, data storage, data analysis, data monitoring, data migrating, etc. It also provides open-source storage-based data lakes operations platform.

Comparison Table

Overview
CategoriesData WarehousesData Lakes
StageLate StageEarly Stage
Target SegmentEnterprise, Mid sizeMid size
DeploymentSaaSOpen source
Business ModelCommercialOpen Source
PricingContact SalesFreemium
LocationUSTel Aviv, Israel
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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