Starburst

Query data across systems without moving it — unified context layer for analytics and AI

Verified API available Works with Claude AI ~8.8k monthly visits
Quick facts
What is it Query data across systems without moving it — unified context layer for analytics and AI
Pricing Paid
Free tier Yes
Platform Web Application
API Yes
Works with Claude AI
Best for querying data across silos without moving it, building governed data products for analytics
Domain registered 2017

Data updated Aug. 1, 2026

What does Starburst do?

Starburst is a data query platform that lets you access and analyze data across multiple systems — clouds, data lakes, warehouses, streaming sources, and SaaS apps — without moving it. Instead of building pipelines to centralize data, you connect Starburst to your existing sources and query them in place. The platform adds a unified context layer where you define business terms, policies, and metadata, so every query returns consistent, governed results. It's built on Trino, the open-source distributed SQL query engine, but adds enterprise features like workload isolation, Iceberg optimization, and a fully managed cloud option.

What makes Starburst stand out is its focus on keeping data where it lives while still enabling fast analytics and AI. The platform includes AIDA, an AI assistant that lets you ask questions in natural language and get answers backed by your governed data. You can also connect external AI agents via the Model Context Protocol (MCP). Starburst handles high-concurrency workloads, combines batch and streaming data, and supports open table formats like Apache Iceberg so you can modernize incrementally. It runs in the cloud, on-premises, or hybrid environments, with both a fully managed service (Starburst Galaxy) and a self-managed edition (Starburst Enterprise).

This tool is built for data engineers, analysts, and enterprise teams who deal with data scattered across many systems. Instead of copying data into a central warehouse, they can query it directly and get a single view. Use cases include running cross-system analytics, building data products with shared definitions, and giving AI systems access to trusted data for real-time decisions. Companies like Comcast, HSBC, and DoorDash use Starburst to reduce data movement costs and speed up analytics.

Key features

What makes it stand out
01
Connect and query data across clouds, lakes, warehouses, and SaaS sources without data movement
02
Organize business definitions, policies, and metadata into reusable data products
03
Use natural language to ask questions and get answers grounded in governed data
04
Run high-concurrency analytics with fast, predictable performance at scale
05
Enforce security, access controls, and policy across all data and queries

Who is Starburst for?

Who benefits most from this tool
querying data across silos without moving it
building governed data products for analytics
enabling AI agents to access trusted data

Pricing

Free tier available — start without a credit card

Free

Free
  • Create and run up to 3 clusters
  • Access to standard cluster execution mode for ad hoc queries

Pro

Custom
  • 0.5 credit price
  • Flexible cluster execution modes
  • Streaming Ingest
  • Advanced cluster management

Enterprise

Custom
  • 0.75 credit price
  • Advanced autoscaling features
  • Fine-grained access controls (ABAC, SCIM)
  • AWS PrivateLink for data sources
  • Early access to features (Private Preview)
  • AIDA (token usage billed separately)

Mission-Critical

Custom
  • 1 credit price
  • Elite support and ticketing
  • Advanced governance integrations
  • Lakehouse security and compliance tools
  • Highest uptime guarantees
  • AIDA (token usage billed separately)

Trust & presence

Domain Domain registered 2017

Gallery

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