What is Preset?
Preset is built and run by the original creators of Apache Superset, and packages Superset as a managed cloud service: teams get dashboards, a SQL Lab-style query interface, and Superset's charting without operating the open-source project themselves. Because the underlying engine is open source, self-hosting Superset directly remains a free alternative for teams that don't want a managed offering.
Read the full overview
Sources checked 27 September 2026: official website, documentation, pricing.
PresetAnalytics & BIManaged Apache Superset for dashboards and data exploration
Key capabilities
- Managed Superset: Hosted dashboards, charts and SQL exploration without infrastructure to run.
- Free Starter tier: Free forever for up to 5 users.
- Workspaces & RBAC: Multi-workspace access control on paid tiers.
Where Preset fits
Managed business intelligence and data exploration built on the open-source Apache Superset project.
Positioning and limitations
Choose Preset when you want Apache Superset's capabilities without operating and upgrading the open-source project yourself. If budget is the primary constraint and you're comfortable self-hosting, compare the cost against running open-source Superset directly.
Because a free, self-hosted alternative (Superset itself) exists, the real evaluation question is what the managed hosting, support and workspace features are worth relative to running it yourself.
“Managed Apache Superset for dashboards and data exploration”
Technical details
- Access
- See vendor
- Source model
- Commercial
- License
- Commercial
- Founded
- 2020
- Headquarters
- San Francisco, USA
- Pricing model
- Freemium
- Pricing details
- Software and service terms ↗
- API
- Available
- Website
- preset.io ↗
- GitHub
- Source repository ↗
What to verify
Start from the users, systems and operating responsibilities the tool needs to support.
- Confirm current features, licensing and support terms.
- Validate deployment, data location and access control.
- Test integrations, exports and recovery workflows.
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