Apache Superset is a great business intelligence (BI) tool for data exploration and visualization to work with large data lake and data warehouse setups. It supports several data sources — including AWS Redshift, BigQuery, Azure MS SQL, Snowflake and ClickHouse. Moreover, you don't have to be a data engineer to use it; it's meant to benefit all engineers exploring data in their everyday work. For demanding use cases, we found it easy to scale Superset by deploying it in a Kubernetes cluster. Since we last talked about it in the Radar, Superset has graduated as an Apache product, and we've seen great success in several projects.
Apache Superset is a great business intelligence (BI) tool for data exploration and visualization to work with large data lake and data warehouse setups. It works, for example, with Presto, Amazon Athena and Amazon Redshift and can be nicely integrated with enterprise authentication. Moreover, you don't have to be a data engineer to use it; it’s meant to benefit all engineers exploring data in their everyday work. It's worth pointing out that Apache Superset is currently undergoing incubation at the Apache Software Foundation (ASF), meaning it's not yet fully endorsed by ASF.
