Here throughout this blog post, we are going to explain the Apache Superset architecture, its key value propositions, comparison with its counterparts and provide a step-by-step guide to using the tool for creating dashboards and data visualizations.Īpache Superset is capable of working on 3 principal layers. Last but not the least, Apache Superset now gets the support of a continuously growing community.

No wonder, many of the leading companies around the world as well as startups have already started incorporating Superset in their workflows. It is an open-source tool to give you relief from the platform-specific obligations that several other tools already adhere to. It works with a variety of web servers, messaging engines, databases, and data processing services. On top of everything, it is extremely lightweight and compatible with a variety of system configurations. Superset is all set to handle ever-growing volume and complexity as your business evolves. This is one area where Apache Superset brings you the promise of unparalleled scalability irrespective of the data volume. But in terms of scalability, most data visualization tools often crumble when data volume reaches petabytes. There is widespread consensus that data visualization is part and parcel of business reporting and decision-making processes. In all these areas, Apache Superset comes as a winner. Some of the shortcomings that easily come to notice are steep learning curves, concerns corresponding to scalability, issues with system compatibility, and lack of business-specific customization. There are quite a few tools that do this well, right? Well, many of these tools have certain drawbacks that prevent them from wider acceptance. Extracting business-relevant and contextual insights from raw business data and putting them into visually engaging dashboards and intuitive visual reports is what leading business intelligence (BI) and data visualization tools promise. Data visualization can be the new storyboard for your business strategy and planning.

Metabase vs superset