Compare - Google BigQuery VS Quicktable

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

QuickTable empowers everyone to access, clean, analyze, transform, and model data with no code. It is is a modern data modeling and transformation tool on top of your existing data sources to let you work with data using a spreadsheet-like interface. It makes your data work easy.

Comparison Table

Overview
CategoriesData WarehousesSpreadsheet based BI
StageLate StageEarly Stage
Target SegmentEnterprise, Mid sizeSMB's, Mid-Size, Enterprise
DeploymentSaaSSaaS
Business ModelCommercialCommercial
PricingContact SalesFree Trial, Contact Sales
LocationUSSingapore
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 logo
Contact info
linkedin icon
twitter icon

Add to compare

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