Trino

Open source alternative to Starburst Enterprise, Google BigQuery and Denodo Platform

13.4K stars
Apache-2.0
Active this week
Last commit 1 day ago

Last verified Oct 20, 2026

Query data across lakes and warehouses with a distributed SQL engine built for fast federated analytics.

Visit website GitHub13.4K 1-click deploy on Hostinger

Read the full breakdownWho it is for, how it works, trade-offs and the FAQ

who it's for

Who Trino is for#

Data platform teams unifying SQL access

Trino fits teams that need one SQL entry point across several storage systems without standardizing on one warehouse.

Skip if:

Skip it if all data already lives in one managed warehouse and query cost is acceptable.

Analytics teams querying data lakes

Teams can use Trino to query object-store-backed datasets alongside other sources through SQL connectors.

Skip if:

Use a managed service if your team cannot operate query clusters.

the problem

The problem it solves#

Data teams often end up with useful data spread across object storage, warehouses, relational databases, and specialized engines. Copying everything into one platform adds latency, cost, and governance work.

The pain is not just query speed. Analysts want familiar SQL, platform teams want to avoid another storage migration, and engineers need connectors that let compute move to the data without committing the whole company to one vendor.

how Trino solves it

How it solves it#

Federated SQL connectors

Trino can query many data systems through connectors, including lakehouse, warehouse, and operational sources. Teams can join data without first moving every dataset.

Distributed query execution

Trino separates query compute from storage and runs distributed SQL workloads across a cluster. That fits interactive analytics over large datasets.

ANSI SQL focus

Users query through SQL rather than a vendor-specific notebook interface. That keeps BI tools and analyst workflows closer to standard database access.

strengths · trade-offs

Strengths and trade-offs#

Strengths

Storage-neutral architectureTrino does not require teams to move all data into a Trino-owned storage layer. That helps organizations with mixed data platforms and existing governance boundaries.
Apache-2.0 foundationThe Apache-2.0 license supports broad internal and commercial use. Teams can run Trino without tying the query layer to a proprietary cloud contract.

Trade-offs

-Cluster operations are real workTrino performance depends on connector behavior, cluster sizing, catalog configuration, and workload management. It is not a managed warehouse by itself.
-Not every workload fits federationHeavy transformations or repeated high-concurrency dashboards may be better served by materialized data in a warehouse or lakehouse table format.

tech stack · detected from GitHub

What it's built on#

Languages: Java
Frameworks: React
Tooling: Webpack

frequently asked

FAQ#

Is Trino a database?

Trino is a distributed SQL query engine, not a storage database. It queries data where it lives through connectors.

What license does Trino use?

Trino is Apache-2.0 licensed.

What is Trino best for?

Trino is best for federated analytics where teams need SQL across multiple storage systems.

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by category

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Hostinger

Run Trino on your own server

Hostinger sets Trino up as a one-click app on a VPS.

Deploy on Hostinger

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Who Trino is for#