Starburst

What Starburst does

Starburst provides an end-to-end analytics platform built on Trino, the #1 SQL analytics engine, enabling data-driven companies to discover, organize, consume, and share data. It offers industry-leading price-performance for cloud and on-premises workloads, supporting access to data both within and outside the lakehouse. Starburst helps teams access complete data, run scalable analytics, lower infrastructure costs, use preferred tools, and avoid vendor lock-in. The platform is designed to unify distributed data without complex migrations, unleashing the full power of the data lakehouse for analytics and AI. Starburst also offers professional services for expert guidance, rapid implementation, and tailored solutions to help organizations achieve data-driven decision-making.

Products

• Starburst GalaxyA fully-managed data lake analytics platform built on Trino. It handles the design, provisioning, maintenance, and security of data infrastructure, making it easy to discover, govern, and consume data. It offers flexible cluster execution modes, streaming ingest, advanced cluster management, and features like Warp Speed, autoscaling, and cross-region connectivity.
• Starburst EnterpriseA fully-supported, self-hosted distribution of Trino that adds integrations, more supported data sources, improved performance, additional security, and works across most cloud platforms. It's an enterprise-grade distribution of open-source Trino, offering workload isolation and Iceberg optimization.
• AIDA (AI Data Assistant)An AI-powered data assistant that allows users to ask questions in natural language, run ad hoc analysis, generate visualizations, and get answers grounded in governed data. It helps iterate in real-time, share definitions, and stay aligned as priorities change, reducing reliance on traditional dashboards.
• Starburst Icehouse ArchitectureA specialized data lakehouse architecture that leverages Trino as the query engine and Apache Iceberg as the table format. It provides a fully-managed solution for building, managing, and deploying an Icehouse, offering open standards, better performance, and improved total cost of ownership compared to data warehouses. It's designed to be a single data foundation for AI and enterprise intelligence.
• GravityStarburst’s governance and security layer, providing comprehensive data governance capabilities from universal discovery to role and attribute-level access controls, dynamic masking, intelligent PII policies, and robust data observability across all connected assets.

Key capabilities

• Access and query data across systems with a unified context layer
• No pipelines or data movement required
• 50+ connectors to data sources
• Organize business definitions, policies, and data products
• Activate AI across any environment with AIDA or custom agents
• Natural language querying and data exploration
• Ad hoc analysis and visualization generation
• Governed data, shared definitions, and policy-enforced access
• Accelerated high-concurrency analytics across distributed data
• Combine batch and streaming data with managed pipelines and automated table maintenance
• Incremental adoption of Iceberg and open formats
• Reliable operation across cloud, hybrid, and on-premises environments
• Enforce security, access controls, and policy across all data and queries
• Intelligent query and resource management
• Fully managed in the cloud (Starburst Galaxy)
• Self-managed, anywhere (Starburst Enterprise)
• Powered by Trino
• Workload isolation and Iceberg optimization
• Flexible cluster execution modes
• Streaming Ingest
• Advanced cluster management
• Advanced autoscaling features
• Fine-grained access controls (ABAC, SCIM)
• AWS PrivateLink for data sources
• Early access to features (Private Preview)
• Elite support and ticketing
• Advanced governance integrations
• Lakehouse security and compliance tools
• Highest uptime guarantees
• Global search across data sources and clouds
• Role-Based Access Control (RBAC)
• Attribute-Based Access Control (ABAC)
• Smart indexing and caching technologies (Warp Speed)
• Fault-tolerant clusters
• Materialized views
• Table scan redirections
• Dedicated cached service
• Parallelism in connectors
• Table statistics for cost-based optimizer
• Dynamic filtering
• Pushdown processing to data sources
• Security and authentication methods
• Data product creation and management
• Data product governance with PII policies, row/column masking, lineage
• Secure cluster-to-cluster sharing of data products
• Built-in data observability features like data lineage
• AI Data Product Enrichment
• AI functions
• AI model privilege
• MCP on Galaxy
• Guardrails
• Time travel, schema evolution (with Iceberg)
• Data federation for universal data access
• Massively Parallel Processing (MPP) SQL query engine

Use cases

• Discover, organize, consume, and share data
• Run scalable analytics
• Lower the cost of infrastructure
• Avoid vendor lock-in
• Make better decisions faster on all data
• Query data across systems without moving it
• Organize business definitions, policies, and data products
• Activate AI across any environment
• Natural language querying and data exploration
• Ad hoc analysis and visualization
• Run high-concurrency analytics across distributed data
• Combine batch and streaming data
• Adopt Iceberg and open formats incrementally
• Run reliably across cloud, hybrid, and on-premises environments
• Enforce security, access controls, and policy
• Control compute, cost, and performance
• Building an open data lakehouse
• BI, SQL, ML, Real-Time Apps on data lakehouse
• Accelerating data discovery
• Simplifying data pipelines
• Unified query layer across all data sources
• Upgrading to Amazon S3
• Customer 360 programs
• Democratizing data lake access
• Enhancing manufacturing processes with intelligent factory initiatives
• Reducing production downtime
• Improving operational efficiency
• Accelerating response to production issues
• Streamlining Iceberg lakehouse by consolidating applications and services
• Modernizing data platforms
• Cutting data processing time
• Enabling employee self-service insights
• Expanding real-time analytics
• Centralizing data access
• Driving significant productivity gains
• Replacing BI dashboards with AI
• Iterating in real time with AI Data Assistant
• Sharing definitions and staying aligned with AI Data Assistant
• Reducing one-off dashboard requests for BI teams
• Investing in metrics, models, and definitions that scale
• Standardizing metrics in packaged data products
• Applying built-in analytical skills (correlation, forecasting, drill-down)
• Connecting to all data from across the organization
• Adding shared business context
• Building and deploying data products for specific business problems
• Improving data governance with data products
• Creating a consumer-like experience for data access
• Securely sharing data products without physical relocation
• Optimizing Starburst Galaxy operations with flexible cluster execution modes
• Building solutions for logistics and supply chain management
• Building an AI data foundation
• Accessing contextual data for AI workflows
• Powering AI, apps, and analytics
• Unifying data for AI-driven insights and mission-critical analytics

AI approach

Starburst provides an Enterprise Intelligence Platform that unifies data across various sources to power AI, analytics, and applications. It offers AIDA, an AI Data Assistant, which allows users to query and explore data using natural language, generate visualizations, and get answers grounded in governed data. Starburst's Icehouse Architecture, built on Trino and Apache Iceberg, is designed to be a data foundation for AI, enabling contextual data access for AI workflows and agents. AIDA leverages this architecture to provide conversational AI interfaces, moving beyond traditional BI dashboards.

Tech named: AIDA, AI Data Assistant, AI agents, Trino, Apache Iceberg, LLM, us.anthropic.claude-sonnet-4-5-20250929-v1:0, us.anthropic.claude-haiku-4-5-20251001-v1:0

Industries served

• Software Development
• Logistics & Supply Chain
• Manufacturing
• Financial Services

What it says sets it apart

• Founded by the inventors of OS Trino
• Full-featured open data lakehouse platform powered by the #1 SQL analytics engine
• End-to-end analytics platform for data discovery, organization, consumption, and sharing
• Industry-leading price-performance for cloud and on-premises workloads
• Supports accessing data outside the lake when needed
• Enables access to more complete data and scalable analytics
• Lowers the cost of infrastructure
• Allows use of tools best suited to needs and avoids vendor lock-in
• Unified context layer for accessing and querying data across systems without movement
• AIDA (AI Data Assistant) for natural language querying and AI activation
• Faster queries and lower bills through acceleration, ingestion, and modernization features
• Runs reliably across cloud, hybrid, and on-premises environments at enterprise scale
• Comprehensive governance, security, and access control across all data
• Optimized compute, cost, and performance with intelligent query and resource management
• Enhances Trino with workload isolation and Iceberg optimization for elite performance and scale
• Transparent pricing based on compute usage, features, and support
• Open data lakehouse approach with advanced warehouse-like functionalities directly on the lake
• 100% future-proof, 90% faster time-to-insight, 53% lower TCO for data lakehouse
• Icehouse architecture built on Trino + Iceberg for open, price-performant, and integrated data lakehouse
• Fully-managed solution for Icehouse architecture with automated tasks like data compaction and table optimization
• Gravity for comprehensive data governance capabilities
• Warp Speed for advanced performance features like multilayer caching and smart autoscaling
• Data products for curated, reusable datasets with business-approved metadata
• Over 50+ connectors to enterprise data sources with performance and security features
• Security & Trust Center with robust operational and security controls for Starburst Galaxy and Enterprise
• Professional Services for expert guidance, rapid implementation, and tailored solutions
• Built on an open data stack with Trino and Apache Iceberg, unifying distributed data without complex migrations
• Empowers teams to push boundaries in data, analytics, apps, and AI with freedom to innovate