Here’s the difference between Airflow and Google BigQuery. The comparison is based on pricing, deployment, business model, and other important factors.
Apache Airflow is a workflow automation and scheduling system that can be used to author and manage data pipelines. Airflow uses workflows made of directed acyclic graphs (DAGs) of tasks.
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.
|Categories||Workflow Orchestration||Data Warehouses|
|Stage||Early Stage||Late Stage|
|Target Segment||Enterprise, Mid size||Enterprise, Mid size|
|Business Model||Open Source||Commercial|
|Pricing||Not Available||Contact Sales|
|Companies using it|