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
AXS logoClearcover logoMattermost logoProposify logo1mg logoHomeToGo logoStriim logoZoom logoInstacart logoShopify logoHotjar logoToo Good To Go logoFOX logoAngellist Talent logoUproad logoFanatics Inc logoinstamojo logocoral logoinvision logoDecisionTree Analytics logoDecisionTree Analytics and Services logozippi logoCraft logoDecisionTree Analytics & Services logoJobber logoJMAN Group logoMatillion logoDashlane logoAstrato Analytics logo
FOX logostreamnative logoPluralsight logoterality logoCircleUp logoInfoPrice logoFanatics Inc logoSelectDB logodadosfera logoCHONGTECHNOLOGIES logoDashlane logoApache Doris logo
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