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 | ||
|---|---|---|
| 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 |