Here’s the difference between Airflow and Looker. 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.
Looker is a data integration and visualization solutions, provider. It offers cloud-based data integration and visualization platform to enterprises. It enables businesses to access data that is connected from multiple different sources. This includes cloud applications such as Salesforce, Zendesk, business planning applications, and web analytics tools. It also provides a custom visualization library and pre-modeled external datasets such as weather and demographics data. It provides solutions to industries including eCommerce, media, healthcare, and gaming among others. Some of its notable clients include Buzzfeed, Intercom, Twilio, and Hubspot, etc.
Overview | ||
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Categories | Workflow Orchestration | Business Intelligence (BI) |
Stage | Early Stage | Late Stage |
Target Segment | Enterprise, Mid size | Enterprise, Mid size |
Deployment | SaaS | SaaSOn Prem |
Business Model | Open Source | Commercial |
Pricing | Not Available | Contact Sales |
Location | US | California, US |
Companies using it | ||
Contact info |