Presto SQL is now Trino Read why »

Trino users

Learn about who uses Trino, helps with development, and is generally part of our community!

Amazon AWS
Ampool
Gett
Jampp
LINE
Rapido
Starburst
Treasure Data
Varada
 
Amazon AWS

Amazon AWS

Amazon AWS is a widely used for deploying and running Trino. The Amazon EMR product provides a managed Hadoop framework that makes it easy, fast, and cost-effective to process vast amounts of data across dynamically scalable Amazon EC2 instances. With EMR, you can launch a large Trino cluster in minutes. You don’t need to worry about node provisioning, cluster setup or tuning. Using Trino on EMR provides you cluster elasticity. You can provision one, hundreds, or thousands of compute instances to process data at any scale. The scaling can be manual or automatic, and you only pay for what you use. Pricing is simple and predictable. You pay a per-second rate for every second used, with a one-minute minimum charge.

View the Amazon AWS website

Ampool

Ampool

Ampool is powered by Trino to provide SQL query federation across 200+ data sources. Combined with Ampool’s high-performance in-memory distributed caching engine, a turbocharged Trino query engine can speedup BI & ad-hoc analytical workloads by an order of magnitude. Ampool is built from the ground up to operate seamlessly in hybrid and multi-cloud environments.

Visit the Ampool website for more information!

Gett

Gett

As the leading ground travel platform for businesses, Gett uses Trino as the core SQL engine for all data pipelines. Extracting data from heterogeneous sources, transforming it with the rich analytical functions and loading results to the visualisation tools to get wiser business decisions.

View the Gett website

Jampp

Jampp

Jampp employs Trino as the main interface between its Data Warehouse and the rest of the company, using it to feed their predictive algorithms as well as performing analytic queries, ETLs and monitoring data quality.

View the Jampp website

LINE

LINE

Trino is a core piece of LINE’s BI tools and interactive analysis workflow. It is being actively used in areas such as KPI and system metrics monitoring, as well as data analytics for large datasets. Trino is the preferred tool for our ML engineers and data scientists to better understand the data on our datalake through fast, interactive queries.

View the LINE website

Rapido

Rapido

As India’s largest bike taxi service, Rapido uses Trino to provide SQL query federation across various data sources, and as SQL engine in various data pipelines. It is being actively used in areas such as KPI and system metrics monitoring, as well as data analytics for large datasets. Trino is a core piece of Rapido’s data platform to provide interactive analysis workflow and visualisation with Metabase and Superset.

View the Rapido website

Starburst

Starburst

Starburst allows you to perform analytics anywhere: in the cloud, on-prem, or running hybrid. The Starburst platform is built on Trino to allow for fast federated querying across a multitude of datasources. These features in addition to Starburst's auto-scaling deployment solutions, enterprise connectors, and trusted industry grade security around a single accesspoint makes your data accessible without having to move it to another location. On top of that, Starburst has the best enterprise support as our employees have contributed the majority of the Trino opensource codebase.

Learn more about the Starburst products!

Treasure Data

Treasure Data

Trino has been at the core of the Customer Data Platform (CDP) of Treasure Data, and more than millions of SQL queries running every day with Trino are helping our customers for analyzing their business-critical datasets and making data-driven decisions.

View the Treasure Data website

Varada

Varada

Varada uses Trino as the distributed SQL query engine for its unique indexing-based query acceleration technology, supporting interactive queries directly on the customer data lake and in the customer VPC. Varada indexes any column in any table so data is fetched extremely fast. The indexing is adaptive to the type of data, and Varada automatically indexes data based on a smart observability layer that continuously monitors demand, business requirements, priorities and budget. Varada is proud to be an active contributor to the Trino open-source community.

View the Varada website

Are you a user too?

We are happy to include your testimonial! Contact us on the community chat, and we will get you added.