Apache Superset vs Omni Analytics
Apache Superset
superset.apache.org
Omni Analytics
omni.coSide by side
| Figure | Apache Superset | Omni Analytics |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Bi Platforms | 8.8 (#1) | 8.0 (#13) |
| Spec score · Dashboards | 8.7 (#4) | 8.0 (#15) |
| Spec score · Business Intelligence Tools | 8.7 (#15) | 8.3 (#30) |
| Deployment | self-hosted | cloud |
| Embedded analytics | Yes | Omni supports white-labeling in products with SSO embedding, APIs, and an MCP server. |
| Founded | 2015 | 2022 |
| Free plan | Yes | No |
| Natural-language queries | Yes | Yes |
| Purpose | Apache Superset is an open-source modern data exploration and visualization platform. | Omni is an AI analytics platform where people can ask questions about their business and get answers grounded in a semantic layer. |
| Row-level security | Yes | Yes |
| Scheduled reports | Yes | Yes |
| Security controls | Authentication, user management, permissions, and roles are handled by Flask AppBuilder, and Superset provides built-in roles including Admin, Alpha, Gamma, sql_lab, and Public. | Security features include table-, column-, and row-level controls, granular roles, user attributes, SAML, and SCIM. |
Plans
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.
Omni Analytics
Omni Analytics has no write-up on Specifiction yet; its figures are above.