#REDASH VS METABASE FULL#

Security: Data visualization tools have access to sensitive data.To arrive at the right tool, we prioritized the following capabilities in descending order of importance: Automation of repetitive tasks: as a data-driven company, there was a lot of demand for report automation-monitoring system health, reviewing team metrics, measuring OKRs, etc.Operational analytics: investigation of our operational systems, especially software ones (software reliability, trends, debugging, etc).Business analytics: exploration and investigation of past business performance to gain insights, identify trends, evaluate ideas and experiments, and size up opportunities.Most of our dashboarding and data visualization needs could be classified into three buckets: Of course I think it’s great, but for your own purposes it’s important to choose the tool that solves the most important real problems you have. I’ll explain what alternatives we looked at, and why we chose Superset. Our choice of Apache Superset wasn’t cut and dry, though. We’ve been using it in production since early 2020, expanding its use until it became our main data exploration tool.

#REDASH VS METABASE FULL#

Eventually, the company decided it was important enough to our internal needs to put our full attention to incorporating Apache Superset as our data exploration platform. When I came to Dropbox in late 2018, I got to continue working on it as a side project. I worked on Apache Superset at Airbnb in its early days. Apache Superset is a modern, open source data exploration and visualization platform already in use at Airbnb, American Express, Lyft, Nielsen, Rakuten Viki, Twitter, and Udemy among others. Today the Apache Software Foundation announced Apache Superset as one of its official top-level projects.

Redash vs metabase