Looker vs Redash: What are the differences?
What is Looker? Pioneering the next generation of BI, data discovery & data analytics. We've built a unique data modeling language, connections to today's fastest analytical databases, and a service that you can deploy on any infrastructure, and explore on any device. Plus, we'll help you every step of the way.
What is Redash? Easily query an existing database, share the dataset and visualize it in different ways. Redash helps you make sense of your data. Connect and query your data sources, build dashboards to visualize data and share them with your company.
Looker and Redash can be categorized as "Business Intelligence" tools.
Some of the features offered by Looker are:
- Zero-lag access to data
- No limits
- Personalized setup and support
On the other hand, Redash provides the following key features:
- Query Editor
Redash is an open source tool with 13.1K GitHub stars and 2.17K GitHub forks. Here's a link to Redash's open source repository on GitHub.
DigitalOcean, 9GAG, and CircleCI are some of the popular companies that use Looker, whereas Redash is used by Sentry, Implisit, and OTOBANK. Looker has a broader approval, being mentioned in 71 company stacks & 7 developers stacks; compared to Redash, which is listed in 38 company stacks and 17 developer stacks.
What is Looker?
What is Redash?
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What are the cons of using Looker?
What are the cons of using Redash?
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BI front-end to a Google BigQuery warehouse. Data exploration, dashboards, audience segmentation, workflow integrations. Can define audiences and take action via Webhook and Segment API integrations.