Compare - Databand VS Google BigQuery

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

About Databand

Databand is a provider of cloud and AI based data observability solutions. It provides an AI platform for unified data pipeline monitoring. It allows data scientists, data engineers, and data analysts to build, manage and optimize their processes for model training, experimentation, testing, and deployment. It is saturated with DataOps in providing automation and integration solutions through a pipeline framework for machine learning and iterative data products.

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
CategoriesData Quality MonitoringData Warehouses
StageEarly StageLate Stage
Target SegmentMid size, EnterpriseEnterprise, Mid size
DeploymentSaaSSaaS
Business ModelCommercialCommercial
PricingContact SalesContact Sales
LocationNew York, USUS
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 logoworkiz logoLiTech logoCoverflex logoFragment Studio logoostro logoBitmetric logo
Contact info
linkedin icon
twitter icon

Add to compare

Similar Companies
Griffin
Data Quality Monitoring
Acceldata logo
Acceldata
Data Quality Monitoring
Metaplane
Data Quality Monitoring
Anomalo
Data Quality Monitoring