Apache Superset Reviews

We use Apache Superset to analyze the telecom data for our customers. We can create reports by directly accessing the data source.

The product needs improvement in terms of DECT filters. At present, we have only a range or time stamp filter. They could provide more options.

The platform's reporting feature needs enhancement. There could be an automatic alignment of headings similar to Tableau, ensuring that if the length exceeds a certain limit, it should transition to the next line while maintaining alignment.

Our main use for Apache Superset is data visualization. We use it daily to manage KPIs and data metrics through customized dashboards, aiding in decision-making processes within our organization.

Apache Superset has streamlined our data visualization and analysis processes, enabling less technical team members to handle data-driven tasks independently, thus speeding up our operations.

We used the solution to help people make decisions based on real numbers and statistics.

By introducing this tool with a semantic layer and a huge amount of charts, lines, tables, and other items, all of that helps to show the KPIs you want to.

We are a service company that creates solutions for customers and we deployed this solution for one of our clients last year. Its main use case is for dashboards for customers wanting access to data. Primarily this was genomics data and the aim was to create a report in the dashboard. Dashboards are then embedded in the web application. We are customers of Apache. 

Superset has great features including the FSO, mapping roles, and ensuring that dashboards can be embedded in the web application. The solution also supports a rich set of charts that is very helpful. Superset also has a myriad of writing queries, allowing users to write queries for the data sets that they need access to. Users can create dashboards on their own. This is a self-service kind of toolset without reliance on developers to create dashboards.

We utilize Apache Superset to observe our service performance and determine its efficiency. This involves identifying areas where we may deviate from our targets, such as profitability or agent productivity, and analyzing trends within historical data to gain insights.

The most valuable feature of Apache Superset is the easy way to configure dashboards as reports or analyses and it's easy to use and intuitive. Users do not need a lot of training to use the solution.

Additionally, you can easily build and define a KPI, and reuse them in different ways. The component logic is highly beneficial for us as it enables us to reuse the same information in various reports. This is particularly useful when multiple individuals are creating dashboards or monitoring the same KPI, as it ensures that everyone is using consistent data from the same source. This approach helps us maintain data integrity and ensures that we all start from the same foundation.

Not only is it intuitive and user-friendly, but it is also easy to integrate into our existing dashboard and cockpit. This allows us to seamlessly incorporate it into our management dashboard.