Here’s the difference between dbt and Looker. The comparison is based on pricing, deployment, business model, and other important factors.
Dbt is an analytics engineering workflow tool. The command line based build tool enables data analysts and engineers to transform data in their warehouse and can take ownership of the entire analytics engineering workflow, from writing data transformation code to deployment and documentation. It automates data quality testing, deploys analytics code, and delivers data with documentation.
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 | Data Modelling and Transformation | 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 | Free trial, Contact Sales | Contact Sales |
Location | US | California, US |
Companies using it | ||
Contact info |