Here’s the difference between Google BigQuery and Apache Spark. The comparison is based on pricing, deployment, business model, and other important factors.
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.
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.
Overview | ||
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Categories | Data Warehouses | Data Modelling and Transformation |
Stage | Late Stage | Late Stage |
Target Segment | Enterprise, Mid size | Mid Size, Enterprise |
Deployment | SaaS | On Prem |
Business Model | Commercial | Open Source |
Pricing | Contact Sales | Freemium |
Location | US | US |
Companies using it | ||
Contact info |