Compare - Google BigQuery VS Osmos

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

Omsos takes the pain out of cleaning messy external data and importing it into your operational systems. Empower your customers,vendors, and partners with a simple, no-code experience to upload data directly into systems without a single line of code. Or have your onboarding teams manage the process with no-code data pipelines in minutes.

Comparison Table

Overview
CategoriesData WarehousesETL Tools, No code automation
StageLate StageEarly Stage
Target SegmentEnterprise, Mid sizeSMBs, Mid Size, Enterprise
DeploymentSaaSSaaS
Business ModelCommercialCommercial
PricingContact SalesFreemium, Contact Sales
LocationUSSeattle, WA, US
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
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