Preset
APIPreset is a managed cloud platform built on Apache Superset offering team-based analytics, dashboards, and data explorat
preset.ioLast updated: April 2026
Preset is a managed cloud platform built on Apache Superset offering team-based analytics, dashboards, and data exploration without infrastructure management.
About
Preset is a fully managed cloud analytics platform built on Apache Superset, the widely adopted open source business intelligence and data visualization tool. By hosting and managing Superset as a service, Preset enables data teams to access all the capabilities of Apache Superset without the operational burden of deploying, scaling, and maintaining the infrastructure required to run it.
The Preset platform provides the complete Apache Superset experience in a managed environment with enterprise-grade reliability, security, and support. Teams get access to the full chart library, dataset management, SQL Lab, dashboard builder, and all other Superset features immediately after creating a workspace, with no installation or configuration required.
Superset's chart library, accessible through Preset, covers a comprehensive range of visualization types. Time series charts, bar charts, area charts, pie charts, scatter plots, histogram, heatmaps, box plots, treemaps, chord diagrams, funnel charts, geographic maps (choropleth and point), calendar heatmaps, and pivot tables are all available. The ECharts integration adds additional high-quality interactive visualization options.
The SQL Lab in Preset provides a powerful browser-based SQL editor for writing and executing queries against any connected database. The editor supports multiple query tabs, schema browsing with table and column autocomplete, query history, result export, and the ability to save queries as Superset datasets for further exploration in the chart builder.
Dataset management in Preset provides a semantic layer between raw database tables and visualizations. Datasets can be physical database tables or virtual datasets defined by SQL queries. Calculated columns, custom metrics, and column descriptions can be added to datasets to create a business-friendly semantic layer that hides technical complexity from dashboard consumers.
Role-based access control in Preset enables fine-grained management of user permissions at the workspace, database, schema, dataset, and dashboard levels. Integration with SAML and OIDC identity providers enables SSO for enterprise customers, and the row-level security feature restricts data access to specific subsets based on user role or attributes.
Preset's workspace architecture supports multiple isolated workspaces within a single account, enabling different teams or projects to have separate analytics environments with their own databases, datasets, and dashboards. Cross-workspace sharing capabilities allow select dashboards and datasets to be shared between workspaces for organization-wide reporting.
Preset connects to all major data sources including Snowflake, BigQuery, Redshift, Databricks, PostgreSQL, MySQL, ClickHouse, Presto, and many others. Database connection management, SSL configuration, and credential storage are all handled securely within the Preset platform.
Positioning
Preset is a managed cloud platform for Apache Superset, created by Maxime Beauchemin—the original creator of both Apache Superset and Apache Airflow. It provides a fully managed, enterprise-grade business intelligence and data exploration experience built on the open source Superset project, eliminating the operational burden of self-hosting while adding collaboration, governance, and enterprise features.
What makes Preset compelling is the direct line from the creator’s vision to the product. With Beauchemin at the helm, Preset represents the definitive enterprise evolution of Superset, ensuring tight alignment between the open source project and the commercial offering. For teams already using Superset or evaluating modern BI tools, Preset delivers the full power of Superset with enterprise reliability, security, and support.
What You Get
- Managed Apache Superset
Fully hosted Superset with automatic updates, scaling, and maintenance—always running the latest stable version with enterprise patches - SQL Lab
Powerful SQL IDE for interactive data exploration with auto-complete, query history, saved queries, and visualization from query results - Dashboard Builder
Drag-and-drop dashboard creation with 40+ visualization types, cross-filtering, drill-down, and native support for time-series analysis - Semantic Layer
Define metrics, dimensions, and calculated columns as reusable datasets that ensure consistent definitions across all dashboards and queries - Team Collaboration
Workspace management with role-based access control, activity feeds, dashboard embedding, and scheduled report delivery
Core Areas
Business Intelligence
Full-featured BI platform with interactive dashboards, 40+ chart types, and a no-code exploration interface for business users
SQL-Based Analytics
SQL Lab provides a rich IDE for analysts to query any connected database, explore results visually, and save reusable datasets
Data Exploration
Intuitive point-and-click interface for slicing, dicing, and visualizing data across any dimension without writing SQL
Enterprise Governance
Row-level security, column-level encryption, audit logging, and SSO integration for regulated enterprise environments
Why It Matters
Apache Superset has become one of the most popular open source BI tools, but running it in production requires significant DevOps investment—managing databases, caching layers, async workers, and keeping up with the fast-moving release cycle. Preset eliminates this overhead while adding the enterprise features that open source Superset lacks, like managed workspaces, enhanced security, and professional support.
For organizations evaluating BI tools, Preset offers a compelling alternative to expensive legacy platforms like Tableau and Looker. It provides comparable visualization and exploration capabilities at a fraction of the cost, with the added benefit of being built on open source—meaning no vendor lock-in on dashboards, datasets, or queries. This combination of powerful analytics, open foundations, and accessible pricing makes Preset particularly attractive for data-driven teams.
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