Trino returns results to the user as soon as they are available. This offers data analysts and data scientists the ability to query large amounts of data, test hypotheses, run A/B testing, and build …

Trino concepts Installation Deploying Trino Trino in a Docker container Trino on Kubernetes with Helm Plugins Improve query processing resilience Clients Client protocol Command line interface JDBC …

As a Trino administrator or a Trino contributor you should understand how Trino’s concepts of stages map to tasks and how tasks contain a set of drivers which process data.

Deploy Trino manually Use the tarball for fine-tuned deployments and customizing the installment of Trino. Learn the fundamentals of deploying a Trino cluster. Learn how to deploy Trino >>

Overview Trino is a distributed SQL query engine designed to query large data sets distributed over one or more heterogeneous data sources.

Analysts, software engineers, and production engineers learn how to manage, use, and even develop with Trino and make it a critical part of their data platform.

Trino supports querying and manipulating Hive tables with the Avro storage format, which has the schema set based on an Avro schema file/literal. Trino is also capable of creating the tables in Trino …

Configure a catalog with the required Trino connector for the specific data table format, and configure object storage and metastore to access the data. With Trino you are ready to use any supported …

Because Trino and Iceberg each support types that the other does not, this connector modifies some types when reading or writing data. Data types may not map the same way in both directions …

The Trino C# client project provides a streaming client library with ADO.NET interfaces for usage on the .NET platform. It enables applications using the .NET platform and running on Windows and other …