Here’s the difference between Datafold and Looker. The comparison is based on pricing, deployment, business model, and other important factors.
Datafold offers a cloud-based quality assurance & monitoring solution for analytical data. The solution enables the users to automate the quality assurance of analytical data. It verifies the data to prevent data corruption every time a developer makes a change that impacts the data in production. It also provides integration over PostgreSQL, etc.
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 Quality Monitoring | Business Intelligence (BI) |
Stage | Early Stage | Late Stage |
Target Segment | Enterprise, Mid size | Enterprise, Mid size |
Deployment | SaaS | SaaSOn Prem |
Business Model | Commercial | Commercial |
Pricing | Freemium | Contact Sales |
Location | California, US | California, US |
Companies using it | ||
Contact info |