What is a data Icehouse architecture? | Starburst Icehouse Architecture

Опубликовано: 14 Март 2026
на канале: Starburst
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An Icehouse data architecture is based on the union of two technologies: Apache Iceberg and Trino.

This combination takes everything that's great about a data lakehouse and packages it in the most open architecture available. With an Icehouse implementation, you're able to achieve all of the advantages of a data warehouse but with the lower cost and flexibility of cloud object storage. Starburst Galaxy combines all of these things in one, making it the number one choice for an Icehouse implementation.

This video walks you through the basics of an Icehouse architecture, including a discussion of the 4 components that make up an Icehouse. These include: data ingestion using Apache Kafka; data governance using features like role-based access control, attribute-based access control, row-level filtering, and universal search using Starburst Gravity; data management to optimize the Icehouse using data compaction, profiling and statistics, and vacuuming and data retention; and automatic capacity management to scale your Trino cluster using auto-scaling and idle shutdown, fault-tolerant execution, and smart indexing and caching with Warp Speed.

Sections:

00:00 - 00:25 - Introduction
00:25 - 00:44 - Next generation data lakehouse architecture
00:44 - 02:38 - Icehouse = Trino + Apache Iceberg
02:38 - 03:09 - Implementing an Icehouse Architecture with Starburst Galaxy
03:09 - 03:42 - Data ingestion using Apache Kafka
03:42 - 04:06 - Data governance using Starburst Galaxy
04:06 - 04:22 - Data management with Starburst Galaxy
04:22 - 04:48 - Automatic capacity management and scaling with Trino and Starburst Galaxy
04:48 - 5:23 - A data warehouse built on data lake technology

An Icehouse architecture represents the convergence of multiple technologies in one place. Data warehouses, data lakes, data lakehouses, Trino, Apache Iceberg, and cloud object storage all converge in this single architectural paradigm. And unlike other approaches, this one is designed to be open. So as data changes and the technology surrounding it changes too, the data Icehouse will adapt with it. It represents nothing less than the future of big data as we know it.


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