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Add to SafariWhen comparing ReportServer vs Datapane, the Slant community recommends Datapane for most people. In the question“What are the best reporting and business intelligence (BI) tools?” Datapane is ranked 11th while ReportServer is ranked 16th. The most important reason people chose Datapane is:
Report generation is open source and has integrations into the Python visualisation libraries
Specs
Question Ranking
Pros
Pro Active community
Questions on the community forum are usually answered very quickly. Developers are active there.
Pro Easy to use dashboards
Integrates user centric Dashboard components that allows for easy set up of Dashboards that highlighting the most important KPIs and reports.
Pro Powerful scheduler
ReportServer has a powerful built-in scheduler to run reports at recurring intervals. Custom scheduler targets (e.g. webservices or SFTP uploads) can be specified via scripting.
Pro Cross platform and web-based
ReportServer is a Java web application and can thus be installed on any OS supporting java. Being a web-app allows access to it from anywhere without the need to install additional client software
Pro Enterprise version with support available
Besides the open source version, there is also the commercial ReportServer Enterprise edition which adds additional functionality, in particular, support for scripting and Crystal.
Pro Provides intuitive ad-hoc reporting component
ReportServer's Dynamic List provides a very intuitive, yet powerful ad-hoc reporting component.
Pro Supports multiple reorting engines including JasperReports and Eclipse BIRT
ReportServer integrates several reporting engines including the popular JasperReports, Eclipse BIRT and Crystal.
Pro Open source integration
Report generation is open source and has integrations into the Python visualisation libraries
Pro Flexible report components
Has support for a lot of rich components (pivot table, drilldown, interactive maps, etc.) which allows some much more flexible reports
Pro Good for teams who use Python and SQL
Lets you do the typical BI and reporting bits in Python and SQL in your own environment
Pro API-first
You can use the API from your other data infrastructure (Colab, Jupyter, Sagemaker, etc.)
Cons
Con Not for teams who want drag-and-drop
Doesn't have a drag and drop component for building charts etc. - it expects you to do the analysis in Python and SQL.
