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What is Preset?

Preset is a managed cloud platform built on Apache Superset, an open-source business intelligence tool. It handles the infrastructure and maintenance work for you, so you can focus on building dashboards and analysing data. The platform includes AI-assisted features to help you create visualisations and explore datasets more quickly. Preset is suitable for teams that want the flexibility of Superset without managing their own servers, or organisations looking to set up BI dashboards without extensive technical overhead. You connect your data sources, build charts and dashboards through an intuitive interface, and share results with colleagues.

Key Features

Managed Superset hosting

Infrastructure and updates handled automatically, no server management required

AI-assisted dashboard creation

Generate chart suggestions and dashboard layouts based on your data

Multiple data source connectors

Integrate with databases, data warehouses, and cloud storage

Collaborative dashboard building

Share dashboards, set permissions, and work with team members

Custom SQL and aggregations

Write queries and create derived metrics for deeper analysis

Version control and deployment

Manage changes and deploy dashboards across environments

Pros & Cons

Advantages

  • No infrastructure to set up or maintain; Preset manages hosting, updates, and security
  • Lower barrier to entry compared to self-hosted Superset; faster time to first dashboard
  • AI features help non-technical users create visualisations without writing SQL
  • Built on proven open-source technology with an active community

Limitations

  • Vendor lock-in; migrating away from Preset requires exporting and reconfiguring dashboards
  • Cost can accumulate with multiple workspaces or heavy usage, even though base tier is free
  • Performance depends on Preset's infrastructure rather than your own servers

Use Cases

Marketing teams building real-time campaign performance dashboards

Finance departments tracking KPIs and reporting metrics without BI specialists

Product teams analysing user behaviour and feature adoption

Startups needing business intelligence without hiring a data engineering team

Organisations migrating from Superset to reduce operational overhead