Preset

What Preset does

Preset is an open AI data analytics platform powered by Apache Superset™. With an intuitive visual interface, Preset empowers users to explore, analyze, and unlock insights from their data. Flexible dashboarding capabilities and a deep set of visualization types make communicating and sharing data-driven insights simple and fast. Lightweight and cloud native, Preset supports the workflows of modern teams with a scalable, enterprise-grade hosted solution: we extend Superset with key features and a broad platform that allows you to deliver modern business intelligence, embedded analytics, and personalized data experiences. Preset Cloud is a fully-hosted, hassle-free cloud service for Apache Superset™. Preset also offers managed private cloud, on-prem, and self-hosted distributions. Preset MCP (Model Context Protocol) gives AI agents direct, secure access to your analytics platform, enabling them to create charts, build dashboards, run SQL, explore datasets, and manage workspaces from any AI client.

Products

• Preset CloudA fully-hosted, hassle-free cloud service for Apache Superset™ providing a secure, reliable, and scalable SaaS experience with the latest Superset features, multi-workspace deployment, and user role/access control.
• Preset ChatbotAn AI Chatbot that allows users to ask questions and get charts through natural conversation, turning plain-English questions into visualizations and dashboards.
• Preset MCP (Model Context Protocol)An integration layer that gives AI agents direct, secure access to the analytics platform, allowing them to query data, build charts, run SQL, explore datasets, and manage workspaces from MCP-compatible AI clients like Claude and Cursor.
• Preset Managed Private CloudPreset's modern BI platform deployed in the customer's AWS, GCP, or Azure private cloud to meet security and regulatory compliance requirements, with Preset managing infrastructure, updates, and maintenance.
• Preset On-PremA self-operated, air-gap ready deployment option for the Preset platform.
• Preset Certified SupersetA self-operated, open-source distribution of Apache Superset.
• Preset APIAn API that extends Superset's native REST API, enabling DevOps, engineers, and data teams to manage user access, workspaces, and assets as code, including charts, dashboards, datasets, and permissions.

Key capabilities

• Intuitive visual interface
• Drag-and-drop user interface
• Fully interactive dashboards
• SQL IDE for ad-hoc queries
• Dataset-centric approach
• Cloud-hosted, managed cloud, on-prem, or embedded analytics solutions
• Cost-effective BI solution
• Flexibility to migrate charts and dashboards to open-source Apache Superset
• Agnostic to underlying data architecture
• No additional ingestion layer required
• Enterprise SaaS powered by Apache Superset™
• Latest features of Superset released and thoroughly tested every two weeks
• One-click to deploy multiple workspaces
• Control user roles and access (RBAC and row-level security)
• No-code data exploration
• Collaborative SQL editor
• Semantic layer
• Over 40 types of visualizations (funnel charts, Sankey diagrams, geospatial charts, etc.)
• Caching for charts & dashboards
• Jinja templating and dashboard filters
• Dashboard CSS templates
• Row-level security (RLS)
• Alerts and reports in Slack or email
• Connects to most SQL databases
• Creates physical and virtual datasets
• Unified metric definitions
• SOC 2-certified
• SSO support
• Built-in dbt integration
• Version control for dashboards
• Guest tokens and embedded SDK for embedding
• Token-based (cookieless) authentication for embedding
• 20+ tool primitives for AI agents
• Model- and vendor-agnostic AI integration (Claude, Cursor, Gemini CLI)
• AI actions governed by RBAC, RLS, and workspace isolation
• Multi-tenant safe with OAuth 2.0 and per-workspace isolation
• Bring your own model (BYOK) with OpenRouter API key
• API for managing workspaces, user access, and BI assets programmatically
• JWT-based authentication for API
• Full user lifecycle management via API
• Import and export charts, dashboards, and datasets as YAML or JSON via API
• API operates at the organization level for managing multiple workspaces
• Secure Cloud Hosting on AWS (SOC2, ISO27001, HIPAA compliant)
• SSO with SAML
• User Provisioning (SCIM) integration
• Custom Roles for fine-grained access control
• Encryption for Data in Transit (TLS 1.2+)
• Encryption for Data at Rest (AES-256)
• Secure Software Development Life Cycle (SDLC)
• Vulnerability Management
• Independent 3rd-party penetration testing
• Intrusion Detection Systems (IDS)
• Workforce Security (background checks, security training, audited access)
• Endpoint Security (MDM, VPN, strong passwords, MFA)
• Continuous Compliance Monitoring with Vanta
• PCI-DSS Level 2 compliant
• HIPAA compliant
• Multi-tenant architecture
• Deployment regions: US East 1, US West 2, Asia Pacific 1, EU North 1
• Usage metrics and audit logs

Use cases

• Explore, analyze, and unlock insights from data
• Communicate and share data-driven insights
• Deliver modern business intelligence
• Embedded analytics
• Personalized data experiences
• Give data to anyone, anywhere
• Empower every team to be data-driven
• Build interactive analytics native to internal tools and customer applications
• Leverage investments in data infrastructure with a visualization layer
• Scaling Superset for builders and developers
• Managing Superset assets as code
• Collaborate securely with entire organizations
• Deployment at scale for large organizations
• Ask questions and get charts through natural conversation (AI Chatbot)
• Connect AI tools (Claude, Cursor) directly to data for querying and visualizing
• Create datasets from SQL databases
• Democratize data analytics and insights
• Creating value for third-party partners using BI dashboards
• Delivering product and usage insights to merchants
• Empowering colleagues to self-serve data and make insight-driven decisions
• Organization-wide self-serve analytics
• Delivering data-driven insights to educational agencies
• Defining data and metrics as code with dbt integration
• Unlocking product and engineering analytics for all teams
• Driving product-led growth and sales motion
• Building a custom modern data stack as the business intelligence layer
• Embedding dashboards into identity verification and fraud prevention platforms
• Automate permission management via API
• Sync assets across environments via API
• Treat Superset configuration as code via API
• Manage workspaces, user access, and BI assets programmatically via API
• Deploying the full Preset platform in a private cloud for increased security and regulatory compliance
• Enabling analytics directly in internal tools
• Integrating charts and dashboards in home-grown apps
• Embedding interactive dashboards in customer-facing applications
• Reducing development costs for data apps
• Launching data-driven apps faster with full customization
• Creating a better user experience with tailored analytics
• Increasing product engagement with relevant metrics

AI approach

Preset offers an AI Chatbot for conversational analytics and a Model Context Protocol (MCP) service that allows AI agents (like Claude, Cursor) to interact with the analytics platform. The AI features are built on Apache Superset's open architecture and respect existing security and permission models. Preset's engineers contributed the MCP tools to the open-source Apache Superset project. Enterprise customers can bring their own OpenRouter API key to route MCP traffic through their preferred model provider (Anthropic, OpenAI, Google). Preset positions itself as a platform layer for AI, not a separate AI product, providing infrastructure for AI stacks.

Tech named: Apache Superset, Preset Chatbot, Preset MCP (Model Context Protocol), Claude, Cursor, Gemini CLI, OpenRouter API, Anthropic, OpenAI, Google

What it says sets it apart

• Open AI data analytics platform powered by Apache Superset™
• Founded by the original creator of Apache Superset™
• Team contributes over 75% of all commits to the open-source software project
• Most cost-effective BI solution with no vendor lock-in
• Flexibility to migrate charts and dashboards to open-source Apache Superset
• Lightweight and cloud native
• Agnostic to underlying data architecture and does not require an additional ingestion layer
• Conversational analytics built on open source
• AI queries respect row-level security and permission model, with visible and editable generated queries
• Preset MCP is model- and vendor-agnostic, working with various AI clients (Claude, Cursor, Gemini CLI)
• Preset MCP is infrastructure for the AI stack, not a separate AI product, avoiding walled-garden AI solutions
• Enterprise-grade security and reliability without the constraints of traditional BI vendors
• Fully managed, hassle-free cloud service for Apache Superset™
• Offers managed private cloud, on-prem, and self-hosted distributions
• SOC 2 Type II, PCI-DSS Level 2, and HIPAA compliant
• Supports multi-region deployment for data residency and compliance
• API extends Superset's native REST API with additional endpoints for Preset-specific resources
• Open-source approach to developing software, with commitment to funding and supporting Superset's evolution