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The Icehouse is an open data lakehouse
that uses Trino and Apache Iceberg

Explore our resource center to learn more about Icehouse and how it can benefit your organization.

What is an Icehouse?

An Icehouse is an open lakehouse architecture that uses Trino as the query engine and Apache Iceberg as the table format. It provides a data warehouse experience on the data lake.

eBook: Iceberg & Trino

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An Icehouse must have four core capabilities

Data ingestion

Data ingestion

Data governance

Data governance

Data management

Data management

Automatic capacity management

Automatic capacity management

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Get hands-on with Icehouse workshops and tutorials

Trino and Iceberg Data Lakehouse Lab

What’s an Icehouse: Icehouse 101

What’s an Icehouse: Icehouse 101

Modern table formats & Apache Iceberg

Modern table formats & Apache Iceberg

Unlocking the power of Apache Iceberg: Tutorial series

Unlocking the power of Apache Iceberg: Tutorial series

Create and populate Apache Iceberg tables

Create and populate Apache Iceberg tables

Starburst Galaxy and Tabular Workshop

Starburst Galaxy and Tabular Workshop

Migrate Hive tables to Apache Iceberg with Starburst Galaxy

Migrate Hive tables to Apache Iceberg with Starburst Galaxy

Building an Open Data Lake House Using Trino and Apache Iceberg

Building an Open Data Lake House Using Trino and Apache Iceberg

Iceberg blog series

Introduction to Apache Iceberg In Trino

Introduction to Apache Iceberg In Trino

Iceberg Partitioning and Performance Optimizations in Trino

Iceberg Partitioning and Performance Optimizations in Trino

Apache Iceberg DML (update/delete/merge) & Maintenance in Trino

Apache Iceberg DML (update/delete/merge) & Maintenance in Trino

Apache Iceberg Schema Evolution in Trino

Apache Iceberg Schema Evolution in Trino

Apache Iceberg Time Travel & Rollbacks in Trino

Apache Iceberg Time Travel & Rollbacks in Trino

Automated Table Maintenance for Apache Iceberg Tables

Automated Table Maintenance for Apache Iceberg Tables

Improving performance with Iceberg sorted tables

Improving performance with Iceberg sorted tables

Hive vs Iceberg: Choosing the best table format for your analytics workload

Hive vs Iceberg: Choosing the best table format for your analytics workload

Trino On Ice

Trino On Ice I: A Gentle Introduction To Iceberg

Trino On Ice I: A Gentle Introduction To Iceberg

Trino on Ice II: In-Place Table Evolution and Cloud Compatibility with Iceberg

Trino on Ice II: In-Place Table Evolution and Cloud Compatibility with Iceberg

Trino on Ice III: Iceberg Concurrency Model, Snapshots, and the Iceberg Spec

Trino on Ice III: Iceberg Concurrency Model, Snapshots, and the Iceberg Spec

Trino on Ice IV: Deep Dive Into Iceberg Internals

Trino on Ice IV: Deep Dive Into Iceberg Internals

Learn from the Starburst experts

How to migrate from Postgres to a S3 data lake with dbt Cloud and Starburst Galaxy

How to migrate from Postgres to a S3 data lake with dbt Cloud and Starburst Galaxy

BestSecret’s data journey: Moving beyond Snowflake

BestSecret’s data journey: Moving beyond Snowflake

Tutorial: Using Starburst Galaxy’s materialized views with Apache Iceberg

Tutorial: Using Starburst Galaxy’s materialized views with Apache Iceberg

Building lakehouse with dbt and Trino

Building lakehouse with dbt and Trino

How to use dbt and Trino with Iceberg for a change data capture on a data lake

How to use dbt and Trino with Iceberg for a change data capture on a data lake

Modern Data Lakes For Dummies

Modern Data Lakes For Dummies

Optimize your data lake with Iceberg and Trino

Optimize your data lake with Iceberg and Trino

Additional exploration: What others are saying