Suggestions appear as you type. Use the up and down arrows to choose one and Enter to open it.

This page's audience our own tag's counts — open to see them
–Visits
–Page views
–Clicks to vendors
–Time on page
–Reading now
Clicks to vendors, by tool
  • –
Top countries
  • –
Devices
  • –

– · visits, page views and clicks counted by our own tag, which counts more than our checked analytics; every figure rounded down · how we count

Starburst Galaxy review

A cloud-native federation platform with a free tier and usage-based paid plans.

9.1/10Editor score
Starburst Galaxy9.1 Try Starburst Galaxy

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Starburst Galaxy is a fully managed cloud data lake analytics platform built on Trino. It is designed for data teams and enterprises that need SQL access across object storage, data warehouses, relational databases, and streaming systems without copying data between systems. Catalog-based connections support sources including Amazon S3, Azure Data Lake Storage, Google Cloud Storage, Snowflake, Amazon Redshift, Google BigQuery, PostgreSQL, MySQL, MongoDB, and Kafka. The platform also supports Tableau, Salesforce, Apache Polaris, and Unity Catalog integrations.

Pricing starts with a Free plan available forever, supporting up to 3 clusters and standard cluster execution for ad hoc queries. Pro costs $0.50 per credit and adds flexible cluster execution modes, Streaming Ingest, and advanced cluster management. Enterprise costs $0.75 per credit and adds advanced autoscaling, fine-grained access controls, AWS PrivateLink for data sources, and AIDA, with token usage billed separately. Mission-Critical costs $1 per credit and adds elite support and ticketing, advanced governance integrations, lakehouse security and compliance tools, highest uptime guarantees, and AIDA with token usage billed separately. A 30-day trial downgrades to the Free tier afterward.

Galaxy’s strongest fit is for teams combining federation, lakehouse analytics, and governance in one managed service. Iceberg support covers table creation, querying, snapshots, and time travel, while Kafka can stream data into managed Iceberg tables. Catalog exploration, universal search, schema discovery, and data products support data discovery, and role-based or attribute-based controls include row filters and column masking. SAML SSO, SCIM provisioning, a REST API, autoscaling, multiple execution modes, and AI data capabilities extend the platform beyond query federation. Choose it for connected cloud analytics with a free entry point; consider an alternative if open-source deployment or fixed subscription pricing is a priority.

Starburst Galaxy pros and cons

  • Where it wins
    • Federates SQL queries across lakes, warehouses, databases, and streaming systems
    • Supports Iceberg tables, snapshots, time travel, and Kafka streaming ingestion
    • Includes governance controls, APIs, autoscaling, and optional AI capabilities
  • Where it doesn't
    • Paid usage is priced per compute credit rather than a fixed plan fee
    • Advanced governance and execution features require paid tiers
    • Not open source; access is provided through web and API interfaces

Starburst Galaxy fact sheet, pricing and score →

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Last updated · How we research and update