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.
| Overview | ||
|---|---|---|
| Categories | Workflow Orchestration | Data Warehouses |
| Stage | Early Stage | Late Stage |
| Target Segment | Enterprise, Mid size | Enterprise, Mid size |
| Deployment | SaaS | SaaS |
| Business Model | Open Source | Commercial |
| Pricing | Not Available | Contact Sales |
| Location | US | US |
| Companies using it | ||
| Contact info |