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
Bed Bath and Beyond logoFreshly Cosmetic logoMejuri logoStriim logoMasterplan logoMonzo logo1mg logoPachyderm logoBabylon Health logoK Health logoCollectors Universe, logoGetSales logoIncident.io logoManyPets logooptimus mine ltd logoBlaBlaCar logoCircleUp logoDataddo logoHubla logoAstrato Analytics logoosmos logoAritzia logoAirbyte logoDecisionTree Analytics & Services logoFragment Studio logoworkiz logoCoverflex logocloudfit logoJMAN Group logoDecisionTree Analytics logoLiTech logoostro logoBitmetric logo
Contact info
linkedin icon
twitter icon

Add to compare

Similar Companies
Databricks logo
Databricks
Data Lakes, Data Warehouses
Redshift logo
Redshift
Data Warehouses
Oracle
Data Warehouses
Dremio
Data Lakes, Data Warehouses