Preset

Description

Preset is a modern business intelligence platform that delivers open-source Apache Superset with a scalable, enterprise-grade hosted solution, extending it with key features and offering a broad platform for modern Business Intelligence, embedded analytics, and tailored data experiences. Founded by the original creator of Apache Superset, Preset was built by the experts who contribute over 75% of all commits to the open-source software project, ensuring deep expertise and continuous innovation in the platform’s development.

The platform provides an enterprise SaaS experience powered by Apache Superset, allowing users to visualize and explore data through cloud-hosted business intelligence software or custom applications. Preset’s intuitive drag-and-drop user interface and fully interactive dashboards offer a seamless experience for business users, while SQL-savvy analysts can utilize the SQL IDE to run ad-hoc queries. The platform’s dataset-centric approach enables anyone to immediately create dashboards, freeing up valuable time for data teams by containing only relevant columns that ensure fast, performant queries.

Preset offers significant advantages in terms of pricing and flexibility, providing what they claim is the most cost-effective BI solution in the market. The platform ensures no vendor lock-in, giving users the flexibility to migrate their charts and dashboards to open-source Apache Superset if needed. This approach makes Preset particularly attractive for organizations that want enterprise-grade features while maintaining the option to use the underlying open-source technology independently.

The platform is designed to work with modern data stacks, serving as a lightweight and powerful visualization layer on top of existing data infrastructure. Preset is agnostic to underlying data architecture and does not require an additional ingestion layer, making it easy to integrate with existing investments in data infrastructure. The platform supports various use cases including traditional BI dashboards, embedded analytics in internal tools, and building customer-facing applications with interactive analytics capabilities.

Pros

• Built by the original creators of Apache Superset
• Free tier available for up to 5 users forever
• No vendor lock-in with migration path to open-source
• Dataset-centric approach for fast dashboard creation
• Over 40 visualization types available
• Intuitive drag-and-drop interface for business users
• SQL IDE for advanced analysts
• Works with modern data stack without additional ingestion
• Embedded analytics capabilities available
• Strong open-source foundation with continuous development

Cons

• Relatively newer platform compared to established BI tools
• Limited advanced enterprise features in lower tiers
• Embedded dashboards require additional licensing costs
• May require technical expertise for complex customizations
• Smaller ecosystem compared to major BI platforms
• Documentation and community resources still growing
• Advanced features like SSO and SCIM only in Enterprise tier