

Whichever BI vendor you end up choosing, we strongly recommend choosing one that's built on open source. The following graphic helps visualize the differences: Preset extends Superset by adding powerful enterprise features. Workspace level RBAC (role-based access control) Here's an example that's a community favorite: Superset is widely known for the beautiful charts and dashboards you can create quickly. Featureĭashboard can contain charts from multiple data sources In the no-code chart builder (Explore), metrics, columns, and virtual datasets all inherit the power that physical database tables have in Superset. Write arbitrary SQL queries and publish as a Virtual Dataset.Transform specific columns and publish as Calculated Columns.Metrics can be certified as authoritative by a specific user.

Aggregate values across multiple columns and publish as Metrics.Semantic layer: save queries as virtual datasetsīoth Metabase and Superset ship with a powerful SQL editor and a lightweight semantic layer. This is no surprise, since Superset's contributor community is significantly larger than Metabase's. Similar to how the Superset community helped drive support for over 20 databases, they've also been the driving force behind the large array of visualizations in Superset. FeatureĬlear documentation on adding your own visualizations Visualization Featuresīusiness intelligence tools are only as good as the visualizations they enable. View data transformation results as a tableīoth Metabase and Superset have no-code interfaces for crafting SQL queries. Preview generated SQL query during iteration Support common SQL operations (Select, Filter, GroupBy, etc) Categoryĥ (Presto, Trino, Drill, Athena, Databricks) The barrier to contributing is low and the Superset community has added support for new databases at a breakneck pace.
METABASE FILTERS SOFTWARE
The Superset community enjoys the benefit of being a project housed in the Apache Software Foundation.
