Apache Superset
Visualisation & BI Plane · BI & Dashboards
Open-source data exploration and visualisation platform.
- Open source
A neutral map of the tools used to build data platforms, organised by the plane they serve: from orchestration and storage to governance, security and AI.
172 tools · 10 planes · 37 categories. Listings are editorial and unpaid; any sponsored placement will always be labelled.
11 results
Visualisation & BI Plane · BI & Dashboards
Open-source data exploration and visualisation platform.
Visualisation & BI Plane · BI & Dashboards
Cloud analytics platform spanning connectors, transformation, dashboards, workflow automation and AI, priced by consumption credits with unlimited users rather than per seat.
Visualisation & BI Plane · BI & Dashboards
BI built natively on dbt, taking metrics from the dbt project as the semantic layer. Open source to self-host, with a cloud tier priced per month rather than per seat.
Visualisation & BI Plane · BI & Dashboards
BI platform on Google Cloud with a modelling layer, LookML, for governed metrics.

Visualisation & BI Plane · BI & Dashboards
Open-source BI tool for questions, dashboards and embedded analytics.

Visualisation & BI Plane · BI & Dashboards
BI that pairs a shared data model with raw SQL, building the model progressively out of the analysis people actually do rather than requiring it up front.
Visualisation & BI Plane · BI & Dashboards
Microsoft's BI platform for semantic models, reports and dashboards, integrated with Fabric.
Visualisation & BI Plane · BI & Dashboards
Analytics platform with an associative engine for exploring data.

Visualisation & BI Plane · BI & Dashboards
Spreadsheet-style analytics that queries the cloud warehouse directly, covering ad hoc analysis, dashboards, data apps and embedded analytics without extracting data.
Visualisation & BI Plane · BI & Dashboards
Visual analytics and BI platform for building interactive dashboards.

Visualisation & BI Plane · BI & Dashboards
Search and AI-driven analytics on cloud data, sold as an analytics product and an embedded SDK, with LLM usage included in the subscription rather than metered.
The landscape is curated editorially for now; public submissions open later. Inclusion is never paid for, and any sponsored placement will be clearly labelled.