Snowflake vs Trino

Updated November 2026 · AppBreakup editorial

Snowflake

A fully managed cloud data platform for warehousing, analytics, data sharing and AI workloads.

Paid

Visit Snowflake Snowflake profile

Trino

Open-source distributed SQL engine for querying data lakes and many databases in one query.

Open sourceSelf-hostable

Visit Trino Trino profile

The short answer

Snowflake is a fully managed cloud data warehouse that stores your data and runs queries for you. Trino is a free, open-source SQL engine that queries data where it already lives, across lakes and databases, on clusters you run yourself. Pick Snowflake for a governed warehouse with little operations work; pick Trino to query a data lake and other systems in place without copying data or paying for a managed platform.

Snowflake or Trino: our take

The core difference is architecture. Snowflake is a managed service on AWS, Azure and Google Cloud: you load data into it, and it separates storage from compute so different teams can run their own virtual warehouses on the same data. It takes care of infrastructure, tuning and encryption, and adds Time Travel, secure data sharing, a data marketplace, Snowpark and Cortex AI features. Trino, formerly PrestoSQL and now governed by the Trino Software Foundation, stores nothing itself. It reads object storage through table formats such as Iceberg, Delta Lake and Hive, plus relational databases, Cassandra, Kafka and more through connectors, and a single ANSI SQL query can join across several of them.

Cost and operations pull in opposite directions. Snowflake is consumption-based, with Standard, Enterprise and Business Critical editions, and bills can climb quickly without monitoring of warehouse usage. There is no self-hosted or open-source edition. Trino is free under the Apache-2.0 licence and runs on your own clusters on premises or in any cloud, but running a cluster well takes real tuning and operations skill, and the project itself offers no managed service. Managed Trino is available from vendors such as Starburst, and Amazon Athena is built on it.

Both work with common BI tools, and both handle interactive analytics and batch work. Neither is a transactional database. Trino is a query layer only, so it relies on your lake or databases for storage and table management, while Snowflake bundles storage, governance and sharing in one product.

A company that wants one governed place for analytics data shared across many teams, with minimal infrastructure work, will usually prefer Snowflake. A data team that already keeps data in a lake or across several databases, wants to avoid copying it into a warehouse, and has the skills to run a cluster will get more from Trino. Some organisations use both: Trino for federated queries over the lake, Snowflake for curated warehouse data.

Choose Snowflake if…

Companies that want a managed, governed warehouse shared across many teams and clouds
You need Web, which Trino doesn't list
Little infrastructure or tuning work compared with running your own database
Separate compute warehouses stop teams from slowing each other down

Choose Trino if…

Data teams that want fast SQL over a data lake and other databases without copying data into a warehouse.
You want open-source software
You need to host it on your own servers
You want a free option (Snowflake is paid only)
You need Self-hosted and Linux, which Snowflake doesn't list

What is Snowflake?

Snowflake is a cloud data warehouse that runs as a managed service on AWS, Azure and Google Cloud. It separates storage from compute, so different teams can run their own virtual warehouses against the same data without slowing each other down, and it handles infrastructure, tuning and encryption for you. Beyond SQL analytics it offers Snowpark for Python and other languages, secure data sharing between accounts, a data marketplace, Time Travel for querying past versions of tables, and a growing set of AI features under the Cortex name. It is aimed at mid-sized and large companies that want one governed place for their analytics data. Pricing is consumption-based: you pay for compute credits and storage, with higher editions (Enterprise, Business Critical) adding features such as multi-cluster compute and stronger compliance controls. There is no self-hosted version, and costs can climb quickly without monitoring of warehouse usage.

What is Trino?

Trino is an open-source, distributed SQL query engine for analytics over large data sets. Formerly called PrestoSQL, it was created by the original Presto developers and is now run by the non-profit Trino Software Foundation. Rather than storing data itself, Trino queries data where it lives: object storage such as S3 and HDFS with table formats like Hive, Iceberg and Delta Lake, plus relational databases, Cassandra, Kafka and other sources through connectors. A single query can join data across several of these systems. It speaks ANSI SQL and works with BI tools such as Tableau, Power BI and Superset. Data teams run it on their own clusters, on premises or in any cloud, for interactive dashboards, ad-hoc analysis and batch ETL. Trino is free under the Apache 2.0 licence; managed versions are sold by companies such as Starburst, and Amazon Athena is built on it. It is not a transactional database, and running a cluster well takes real operations work.

Side by side

Attribute	Snowflake	Trino
Pricing	Paid	Open source
Open source	No	Yes
Self-hostable	No	Yes
Platforms	Web	Self-hosted, Linux
Best for	Companies that want a managed, governed warehouse shared across many teams and clouds	Data teams that want fast SQL over a data lake and other databases without copying data into a warehouse.
Status	Active	Active