Apache Superset vs. Deepnote
A side-by-side comparison based on G2 review data.
| Metric | Apache Superset | Deepnote |
|---|---|---|
| Overall rating | 4.4 | 4.5 |
| Review count | 53 | 387 |
| Ease of use | 9.0 | 9.0 |
| Ease of setup | 8.5 | 9.1 |
| Quality of support | 8.0 | 8.9 |
| Meets requirements | 9.0 | 8.8 |
| NPS | 68 | 70.75718 |
| Small Business | 34.0% | 67.7% |
| Mid-Market | 45.3% | 25.0% |
| Enterprise | 20.8% | 7.3% |
| Total page views | 393 | 631 |
| Total LLM citations | 2,436 | 5,340 |
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.
- Ease of Use
- Speed
- Automation
- SQL Querying
- Easy Access
- Ease of Understanding
Deepnote
Deepnote is a data workspace where agents and humans work together. It's designed to simplify data exploration, accelerate analysis, and quickly deliver actionable insights for you and your team. Unlike outdated tools such as Jupyter, Deepnote is built with the next decade in mind. Deepnote gives anyone working with data superpowers. It unifies your data workflow through an integrated semantic layer, preparing your data for advanced AI applications.
- Ease of Use
- Collaboration
- Team Collaboration
- Easy Integrations
- Data Management
- Integrations