Apache Superset vs Lightdash
Apache Superset
superset.apache.org
Lightdash
lightdash.comSide by side
| Figure | Apache Superset | Lightdash |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | Yes | — |
| API | Yes | — |
| Self-hosted | Yes | — |
| Plans published | 1 | 3 |
| Spec score · Bi Platforms | 8.8 (#1) | 7.1 (#23) |
| Spec score · Business Analytics | 8.7 (#1) | 7.2 (#21) |
| Spec score · Business Intelligence & Analytics - Midmarket Software | 8.8 (#1) | 7.2 (#18) |
| Spec score · Business Intelligence & Analytics - Enterprise Software | 8.7 (#2) | 7.2 (#24) |
| Spec score · Self Service Analytics | 8.7 (#2) | 7.1 (#19) |
| Spec score · Dashboards | 8.7 (#4) | 7.1 (#24) |
| Spec score · Business Intelligence Tools | 8.7 (#15) | 7.0 (#79) |
| Spec score · Data Analytics Software | 8.7 (#6) | 7.1 (#27) |
| Deployment | self-hosted | hybrid |
| Embedded analytics | Yes | Yes |
| Founded | 2015 | 2021 |
| Free plan | Yes | Yes |
| Natural-language queries | Yes | Yes |
| Row-level security | Yes | Yes |
| Scheduled reports | Yes | Yes |
Plans
Lightdash
- Open SourcePrice not published
- Cloud Pro$3,000 a month
- EnterprisePrice not published
In their own words
Apache Superset
Apache Superset is a free, open-source platform for exploring data and creating visualizations. Users can build charts with a no-code tool or work in a SQL IDE, then assemble charts and tables into interactive dashboards with drag-and-drop tools. It includes more than 40 visualization types and supports custom visualizations through plug-ins. Dashboard features include filters, cross-filters, drill-to-detail, and drill-by; other listed tools include caching, Jinja templating, CSS templates, and a semantic layer. The database guide lists 81 supported databases, with each engine requiring a separately installed driver; examples include Trino, Apache Hive, Apache Spark SQL, PostgreSQL, and Google BigQuery. Superset is self-hosted and can be installed through Docker Compose, Kubernetes, or as a Python package from PyPI. Kubernetes is described as the production best-practice option and requires Kubernetes expertise. Superset also lists row-level security, scheduled reports, embedded analytics, and natural-language queries. Its OpenAPI-specification REST API supports automation and integrations, and most endpoints require JWT authentication. Community support is available through Slack, GitHub, a mailing list, and meetups.