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Managed cloud BI and dashboards powered by Apache Superset
Preset is a managed cloud business intelligence platform built on Apache Superset, the popular open-source data exploration and visualization project. It gives teams the power of Superset — rich charts, interactive dashboards, a SQL Lab for ad-hoc queries, and support for dozens of databases — without the burden of hosting, scaling, upgrading, and securing it themselves. Founded by the original creator of Superset, Preset stays closely aligned with the open-source project and contributes back to it.
The platform connects directly to modern data warehouses and databases, letting analysts build dashboards on live data and business users explore with drill-downs, filters, and cross-filtering. It adds enterprise capabilities on top of Superset, including role-based access control, row-level security, workspace management, embedded analytics, and newer AI-assisted exploration through MCP integration with tools like Claude and Cursor. Because it is Superset under the hood, teams keep an open, extensible foundation and can migrate to self-hosted Superset at any time — a genuine hedge against lock-in.
Preset targets data teams and analytics-driven organizations that like Superset's openness but want a managed, secure, and collaborative experience. Pricing is freemium: a free Starter tier for individuals, a Professional plan around $25 per month adding multi-user access, RBAC, and row-level security for up to 10 users, a Team plan around $49 per month for up to 50 users, and usage-based Enterprise plans. It competes with Metabase, Mode, Lightdash, and Looker, differentiating on Superset compatibility and no lock-in.
Pricing Model
Freemium, per-user + usage
Starting Price
$0/mo
Free Options
Free version, Free trial
Free tier for individuals exploring managed Superset.
For small teams, up to 10 users, with access controls.
For growing teams, up to 50 users, with advanced analytics.
Usage-based plans for larger organizations.
| Feature | Starter | Professional | Team Popular | Enterprise |
|---|---|---|---|---|
| Core dashboards and charts | — | — | — | |
| SQL Lab | — | — | — | |
| 1 user | — | — | — | |
| Database connectors | — | — | — | |
| Basic AI chatbot | — | — | — | |
| Multi-user access | — | — | — | |
| Role-based access control | — | — | — | |
| Row-level security | — | — | — | |
| MCP integration (Claude, Cursor) | — | — | — | |
| Email support | — | — | — | |
| Everything in Professional | — | — | — | |
| Unlimited workspaces | — | — | — | |
| Advanced analytics | — | — | — | |
| Embedded analytics | — | — | — | |
| Priority support | — | — | — | |
| Custom users and volume | — | — | — | |
| SSO and SAML | — | — | — | |
| Advanced security | — | — | — | |
| Dedicated support | — | — | — | |
| Custom SLAs | — | — | — |
Other
Communication
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API Types
SDK Availability
Verify SDK availability in vendor's documentation.
Developer Features
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Compliance Standards
SOC 2 Type II
EnterpriseISO 27001
EnterpriseGDPR Compliant
GlobalHIPAA
HealthcarePCI DSS
FinanceCCPA
PrivacyFedRAMP
GovernmentCSA STAR
CloudDeployment & Data
Data Residency Options
Verify with vendor for your specific region requirements.
Open-source business intelligence anyone on your team can use.
Collaborative analytics with SQL, Python, and R.
Open-source, dbt-native BI for the modern data stack
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