Starburst

Starburst is the commercial distribution of the open-source Trino query engine, letting teams run federated SQL analytics across warehouses, lakes and databases without moving data, via managed (Galaxy) or self-managed (Enterprise) deployments.

DatabasesSelf-hosted
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Published Updated

CategoryDatabases
AccessSelf-hosted
PricingFreemium
APIAvailable
Overview

What is Starburst?

Starburst was founded in 2017 by engineers from the Presto/Trino project and builds its platform on Trino, an open-source distributed SQL query engine. Its documentation describes federated querying across sources such as object storage, warehouses and relational databases without a separate ETL step, plus governance, caching and performance features layered on top of open-source Trino. Starburst itself is closed-source; the underlying Trino engine remains open source and independently governed.

Read the full overview

Sources checked 27 September 2026: official website, documentation, pricing.

Why teams use it

Key capabilities

  • Federated SQL: query across heterogeneous data sources through Trino's connector model.
  • Deployment: Starburst Galaxy (managed cloud, with a permanent free tier of up to 3 clusters) or Starburst Enterprise (self-managed).
  • Governance and performance: access controls, caching and query optimization added on top of open-source Trino.
Core areas

Cross-source analytics, data lake querying, and reducing duplicate ETL pipelines are the core use cases. Validate connector support for the specific sources involved and measure query performance against representative workloads before relying on it for production reporting.

Positioning

Shortlist Starburst when data is spread across multiple warehouses, lakes or databases and the goal is to query it in place rather than centralize it first. Compare its connector coverage and governance features against the specific sources already in use, since value depends heavily on how many of those sources Starburst can federate well.

Why it matters

Querying data where it lives can reduce duplication, but federated queries can also be slower or costlier than querying a pre-aggregated warehouse table. Test with real queries and real data volumes rather than assuming federation is free.

Deployment & technical details

Technical details

Access
Self-hosted
Source model
Other license
Founded
2017
Headquarters
Boston, USA
Pricing model
Freemium
API
Available
Check with the publisher

Official resources

Before you shortlist

What to verify for your environment

Start from the users, systems and operating responsibilities the tool needs to support.

  • Confirm current features, licensing and support terms with the publisher.
  • Validate deployment, data location, access control, backup and recovery requirements.
  • Test integrations, export paths and a representative operational workflow before committing.
Community experience

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