Compare - Google BigQuery VS Apache Spark

Here’s the difference between Google BigQuery and Apache Spark. 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 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 SegmentEnterprise, Mid sizeMid Size, Enterprise
DeploymentSaaSOn Prem
Business ModelCommercialOpen Source
PricingContact SalesFreemium
LocationUSUS
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