Compare - Google BigQuery VS Redshift

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

Comparison Table

Overview
CategoriesData WarehousesData Warehouses
StageLate StageLate Stage
Target SegmentEnterprise, Mid sizeEnterprise
DeploymentSaaSSaaS
Business ModelCommercialCommercial
PricingContact SalesFreemium
LocationUSSeattle,WA, US
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