Compare - Starburst VS Google BigQuery

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

About Starburst

For data-driven companies, Starburst offers a full-featured data lake analytics platform, built on open source Trino. Our platform includes the capabilities needed to discover, organize, and consume data without the need for time-consuming and costly migrations. We believe the lake should be the center of gravity, but support accessing data outside the lake when needed. With Starburst, teams can access more complete data, lower the cost of infrastructure, use the tools best suited to their specific needs, and avoid vendor lock-in. Trusted by companies like Comcast, Grubhub, and Priceline, Starburst helps companies make better decisions faster on all their data.

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 Lakes, Data MeshData Warehouses
StageMid StageLate Stage
Target SegmentEnterprise, Mid sizeEnterprise, Mid size
DeploymentSaaSOn PremSaaS
Business ModelCommercialCommercial
PricingContact SalesContact Sales
LocationUSUS
Companies using it
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