BI SoftwareUnclaimed

Apache Superset

Also known as
apache-superset

What is Apache Superset?

Apache Superset is a modern, enterprise-ready business intelligence platform for data exploration and visualization. It provides self-serve analytics through a no-code interface, SQL editor, and 40+ visualization types.

Independently observed

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.

Core
BI paradigm
Governed dashboards
Semantic / modelling layer
Built-in
Engine
Warehouse-native (SQL push-down)
Deployment
Self-hostable / OSS core
Managed cloud available
Intelligence
Natural-language query / AI copilot
-
Delivery
Embedded / white-label analytics
Scheduled reports / alerting
-
Governance
Row-level security & SSO/SAML
Commercial
Per-seat pricing published
Free tier / free desktop
Ecosystem
dbt-native integration
-
Data-source connector breadth
Any SQL-based databases including modern cloud-native databases and engines at p
Independently observed

Platform & deployment

Independently observed
Platforms
  • Web
Deployment
  • Cloud / SaaS
  • Self-hosted

Integrations (3)

Independently observed
  • Presto
  • Trino
  • Athena

Apache Superset alternatives

Other bi software we track, ranked by the same independent score.

Independent · unbought · dated

The Vioscale 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.

Balanced composite 64 / 100
low · 33%
Signal contributions to the composite score
SignalScoreWeightContributionEvidence
Capabilities750.1914.0
Github Activity630.106.6
Release Cadence990.065.8
Github Stars920.032.7
Integrations170.101.8
Security Posture00.070.0-
Package Downloads00.150.0-
Stackoverflow Activity00.070.0-

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

AttributeValueEvidence
Commits last 30d100mediumsource · 2026-08-01 · 65%

Adoption

AttributeValueEvidence
Github stars74,088highsource · 2026-08-01 · 90%

Features

AttributeValueEvidence
Capabilities{"rls_sso":true,"paradigm":"governed_dashboards","free_tier":true,"managed_cloud":false,"self_hostable":true,"semantic_layer":"built_in","warehouse_native":true,"connector_breadth":"Any SQL-based databases including modern cloud-native databases and engines at p","embedded_analytics":true,"transparent_pricing":false}mediumsource · 2026-08-05 · 60%

Integrations

AttributeValueEvidence
Count3mediumsource · 2026-08-05 · 60%

Language

AttributeValueEvidence
PrimaryPythonhighsource · 2026-08-01 · 90%

License

AttributeValueEvidence
SpdxApache-2.0highsource · 2026-08-01 · 95%

Pricing

AttributeValueEvidence
Free tierYesmediumsource · 2026-08-01 · 60%
Modelopen_sourcemediumsource · 2026-08-05 · 60%
Price levelfreemediumsource · 2026-08-05 · 60%

Release

AttributeValueEvidence
Cadence days1mediumsource · 2026-08-01 · 70%