Comparison

Apache Superset vs Sisense

On the evidence we track, Sisense leads this comparison with a composite score of 65/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

Machine formatsJSONMarkdownGraphQLor send Accept: application/json
Apache Superset60
Sisense65
Score
Vioscale score
Apache Superset60 / 100medium · 62%
Sisense65 / 100medium · 72%
Pricing
Free tier
Apache Superset
Sisense
Model
Apache Supersetopen_source
Sisensefreemium
Price level
Apache Supersetfree
Sisenselow
Transparent
Apache Superset
Sisense
Integrations
Count
Apache Superset3
Sisense8
Security
Disclosure policy
Apache Superset
Sisense
Gdpr
Apache Superset
Sisense
Hipaa
Apache Superset
Sisense
Iso27001
Apache Superset
Sisense
Scorecard
Apache Superset5.5
Sisense
Soc2
Apache Superset
Sisense
Reliability
Sla pct
Apache Superset
Sisense99.99
Status page
Apache Superset
Sisense
Adoption
Dependent repos
Apache Superset328
Sisense
Github stars
Apache Superset74,470
Sisense
Activity
Commits last 30d
Apache Superset100
Sisense
Release
Cadence days
Apache Superset3
Sisense
History
Apache Superset20 items
Sisense
License
Spdx
Apache SupersetApache-2.0
Sisense
Language
Primary
Apache SupersetPython
Sisense
Market
Availability

Capabilities

Feature-by-feature on the axes that matter for bi software. “-” means undocumented, not absent.

Core
BI paradigm
Apache SupersetGoverned dashboards
SisenseEmbedded
Semantic / modelling layer
Apache SupersetBuilt-in
SisenseBuilt-in
Engine
Warehouse-native (SQL push-down)
Apache Superset
Sisense
Deployment
Self-hostable / OSS core
Apache Superset
Sisense
Managed cloud available
Apache Superset
Sisense
Intelligence
Natural-language query / AI copilot
Apache Superset
Sisense
Delivery
Embedded / white-label analytics
Apache Superset
Sisense
Scheduled reports / alerting
Apache Superset
Sisense
Governance
Row-level security & SSO/SAML
Apache Superset
Sisense
Commercial
Per-seat pricing published
Apache Superset
Sisense
Free tier / free desktop
Apache Superset
Sisense
Ecosystem
dbt-native integration
Apache Superset
Sisense-
Data-source connector breadth
Apache SupersetMultiple database and data warehouse connections supported
SisenseSupports warehouses, databases, and cloud applications

What each one is

The product in its own terms, so the numbers below have context.

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.

Independently observed

Sisense

Leader

Sisense is an embedded analytics platform designed for developers to integrate AI-powered analytics into customer-facing products. It provides natural-language query capabilities, semantic data modeling, row-level security, and flexible embedding options through SDKs and APIs, with support for multiple deployment models.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

Apache Superset

Open source
as of verify ↗

Sisense

Leader
HybridFree tier30-day trial

Free self-serve tier available; enterprise pricing via sales consultation

  • Self-ServeFree
  • EnterpriseContact sales
as of verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platforms
Web
Apache Superset
Sisense
Deployment
Cloud / SaaS
Apache Superset
Sisense
Self-hosted
Apache Superset
Sisense
On-premise
Apache Superset
Sisense
Hybrid
Apache Superset
Sisense

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

Apache Superset

3 total
  • Presto
  • Trino
  • Athena
Independently observed

Sisense

Leader
8 total
  • Any warehouse connectors (generic)
  • Any database connectors (generic)
  • Cloud app connectors (generic)
  • MCP (Model Context Protocol)
  • REST APIs
  • Compose SDK
  • External AI tools and workflows
  • Custom plugins
Independently observed

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.