Compare - Redshift VS Apache Spark

Here’s the difference between Redshift and Apache Spark. The comparison is based on pricing, deployment, business model, and other important factors.

About Redshift

Amazon Redshift is a fully managed petabyte scale data warehouse service. Redshift is designed for analytic workloads and connects to standard SQL based clients and business intelligence tools. Redshift delivers fast query and I/O performance for virtually any size dataset by using columnar storage technology and parallelizing and distributing queries across multiple nodes. Most common administrative tasks associated with provisioning, configuring, monitoring, backing up, and securing a data warehouse are automated.

About Apache Spark

Apache Spark is an open-source unified analytics engine for large-scale data processing. Spark provides an interface for programming entire clusters with implicit data parallelism and fault tolerance.

Comparison Table

Overview
CategoriesData WarehousesData Modelling and Transformation
StageLate StageLate Stage
Target SegmentEnterpriseMid Size, Enterprise
DeploymentSaaSOn Prem
Business ModelCommercialOpen Source
PricingFreemiumFreemium
LocationSeattle,WA, USUS
Companies using it
Zoom logoInstacart logoShopify logoHomeToGo logoAXS logoClearcover logoMattermost logoStriim logoProposify logo1mg logoHotjar logoToo Good To Go logoFOX logoUproad logoAngellist Talent logoCraft logoFanatics Inc logoinstamojo logoinvision logoJobber logoJMAN Group logoDecisionTree Analytics logoDecisionTree Analytics and Services logoDecisionTree Analytics & Services logocoral logozippi logoMatillion logoDashlane logoAstrato Analytics logo
FOX logoPluralsight logostreamnative logoterality logoCircleUp logoInfoPrice logoCHONGTECHNOLOGIES logoFanatics Inc logoDashlane logoSelectDB logoApache Doris logodadosfera logo
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