G2 Vendor Directory

Apache Superset vs. Cube

A side-by-side comparison based on G2 review data.

MetricApache Superset

by The Apache Software Foundation (ASF)

Cube

by Cube

Overall rating4.44.6
Review count5327
Ease of use9.09.0
Ease of setup8.58.7
Quality of support8.09.7
Meets requirements9.09.0
NPS6881.481481
Small Business34.0%51.9%
Mid-Market45.3%40.7%
Enterprise20.8%7.4%
Total page views393311
Total LLM citations2,4361,619

Apache Superset

Apache Superset is an open-source data exploration and visualization platform designed to handle data at scale. It enables users to create interactive dashboards and perform complex data analyses with ease. Superset supports a wide range of data sources and integrates seamlessly with various databases, making it a versatile tool for data professionals. Key Features and Functionality: - Interactive Dashboards: Build and customize dashboards with a variety of visualization options to represent data effectively.

Pros

  • Ease of Use
  • Speed
  • Automation
  • SQL Querying
  • Easy Access
  • Ease of Understanding

Cube

Cube is the agentic analytics platform — built on a semantic layer. Cube is the AI-native generation of business intelligence. It's one platform for two use cases: internal BI, where data teams and business users analyze their own company's data, and embedded analytics, where software companies ship analytics inside their own products. The same governed semantic layer powers both. What makes AI answers trustworthy in production is the semantic layer underneath them. Cube was built around the semantic layer from day one rather than retrofitting one onto a dashboard- or notebook-first tool.

Pros

  • Ease of Use
  • Powerful BI
  • Customization
  • Innovation
  • Integrations
  • Performance