Apache Superset
A self-hosted, open-source platform for building dashboards and exploring SQL data
- Also known as
- apache-superset
What is Apache Superset?
An enterprise-ready web application that helps teams connect to various SQL databases and data engines to build visualizations, create dashboards, and query data through a web-based SQL editor. Includes features like a built-in semantic layer, query optimization, caching, and row-level security.
Apache Superset pricing
We don't have Apache Superset's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.
What Apache Superset does
The capabilities that matter for bi software, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- BI paradigm
- Governed dashboards
- Semantic / modelling layer
- Built-in
- Warehouse-native (SQL push-down)
- ✓
- Self-hostable / OSS core
- ✓
- Managed cloud available
- ✓
- Natural-language query / AI copilot
- ✗
- Embedded / white-label analytics
- ✓
- Scheduled reports / alerting
- ✓
- Row-level security & SSO/SAML
- ✓
- Per-seat pricing published
- ✗
- Free tier / free desktop
- ✓
- dbt-native integration
- ✗
- Data-source connector breadth
- Multiple database and data warehouse connections supported
Platform & deployment
Independently observed- Web
- On-premise
- Self-hosted
Integrations (8)
Independently observed- Slack→•
- Presto
- Trino
- Athena
- PostgreSQL←•
- BigQuery←•
- Aurora←•
- Redshift←•
Security & compliance
Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality
Apache Superset FAQ
Common questions about Apache Superset, answered from independent, dated evidence.
What is Apache Superset?
An open-source business intelligence platform that enables teams to create dashboards, charts, and alerts to visualize and analyze data across multiple database and data warehouse connections. It is indexed under BI Software.
Source: https://superset.apache.org
Is Apache Superset free to use?
Apache Superset is open source, so it can be self-hosted and used at no licence cost. It is released under the Apache-2.0 licence. Pricing changes often, so verify at source before relying on it.
Source: https://superset.apache.org
What platforms does Apache Superset support?
We have confirmed browser-based access to Apache Superset. That is the extent of what we could verify from public sources, so it may well offer desktop or mobile clients we have not indexed.
Source: https://superset.apache.org
Can Apache Superset be self-hosted?
Yes. Apache Superset can be deployed cloud / SaaS and self-hosted, so it does not have to run on the vendor's infrastructure.
Source: https://superset.apache.org
What does Apache Superset integrate with?
We have confirmed 3 integrations for Apache Superset, including Presto, Trino and Athena. This is what we could verify from public sources, so the vendor may support others we have not indexed.
Source: https://superset.apache.org
Is Apache Superset open source?
Yes. Apache Superset is published under the Apache-2.0 licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.
Apache Superset alternatives
Other bi software we track, ranked by the same independent score.
- CubeAn AI-native analytics platform with a semantic data layer that provides governed, reliable business intelligence to both human users and autonomous agentsmedium · 73%
- PresetCloud-hosted business intelligence platform built on open-source Apache Superset, combining visual dashboards with AI-powered analyticsmedium · 73%
- SisenseData analytics platform for building dashboards and reports from database queriesmedium · 72%
- ThoughtSpotA unified analytics platform providing AI-driven insights with data governance across business applications and workflowslow · 39%
- DomoGoverned Data for AI Agentslow · 33%
- RillFast analytics platform for both humans and AI agents, powered by open OLAP engineshigh · 77%
Compare Apache Superset
Side by side against other bi software, attribute by attribute, with a source on every value.
The vioscaleAI score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Apache Superset, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Capabilities | 100 | 0.07 | 7.0 | ✓ |
| Development activity | 63 | 0.09 | 5.9 | ✓ |
| Release cadence | 98 | 0.05 | 5.1 | ✓ |
| Dependent projects | 42 | 0.06 | 2.6 | ✓ |
| Stars | 92 | 0.03 | 2.4 | ✓ |
| Security score | 55 | 0.04 | 2.3 | ✓ |
| Integrations | 27 | 0.08 | 2.2 | ✓ |
| Security posture | 5 | 0.06 | 0.0 | - |
| Package downloads | 0 | 0.14 | 0.0 | - |
| Developer Q&A activity | 0 | 0.06 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Activity
| Attribute | Value | Evidence |
|---|---|---|
| Commits last 30d | 100 | mediumsource · 2026-09-10 · 65% |
Adoption
Content
| Attribute | Value | Evidence |
|---|---|---|
| Faq | 6 items | mediumsource · 2026-09-10 · 66% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Nlq ai: No · Hosting: self · Rls sso: Yes · Paradigm: governed_dashboards · Free tier: Yes · Api access: Yes | mediumsource · 2026-09-14 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 8 | mediumsource · 2026-09-14 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | Python | highsource · 2026-09-10 · 90% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | Apache-2.0 | highsource · 2026-09-10 · 95% |
Pricing
Release
Security
| Attribute | Value | Evidence |
|---|---|---|
| Disclosure policy | Yes | mediumsource · 2026-08-14 · 60% |
| Scorecard | 5.5 | highsource · 2026-09-10 · 90% |
| Vulnerabilities | Count: 0 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=npm&package_name=%40superset-ui%2Fcore&per_page=100 · Last 12m: 0 | highsource · 2026-09-10 · 90% |
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