Stackable Operator for Trino

Follow the Getting started guide to start using the Stackable operator for Trino on your Kubernetes cluster. It will guide you through the installation process and help you run your first Trino queries on Kubernetes.

The operator manages Kubernetes resources in sync with custom resources defined by you, the user.

The trino-taxi-data demo uses Trino together with Apache Hive to access the prominent New York Taxi dataset. Apache Superset is then used to read the data from the Trino instance via SQL and visualize it.

The data-lakehouse-iceberg-trino-spark demo showcases a data Lakehouse with multiple datasets. Again Trino is used to enable SQL access to the data. The trino-iceberg demo is a subset of the Lakehouse demo, focusing just on Apache Iceberg integration.

The spark-k8s-anomaly-detection-taxi-data also uses Trino to enable SQL access to data but also shows OpenPolicyAgent integration for authorization.

The Stackable operator for Trino currently supports the Trino versions listed below. To use a specific Trino version in your TrinoCluster, you have to specify an image - this is explained in the Product image selection documentation. The operator also supports running images from a custom registry or running entirely customized images; both of these cases are explained under Product image selection as well.