Starburst Icehouse Architecture
Get Started with Iceberg in Your Organization
Iceberg powers the data foundation of modern AI. Discover how Iceberg and Starburst work together to drive an AI Intelligence Platform.
Starburst provides a fully-managed solution to easily build, manage, and deploy an Icehouse architecture offering best of open standards, better performance and improved total cost of ownership than data warehouses.
Build your AI data foundation
Leverage the power of Iceberg and Trino to create the data foundation for AI
Access all your contextual data
AI is only as good as the data that feeds it. It needs a context layer. A Starburst Icehouse Architecture helps build that context layer.
Replace BI dashboards with AI
Icehouse Architecture allows you to replace static BI dashboards with interactive, conversational AI interfaces.
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FAQ
What is the Starburst Icehouse Architecture?
Starburst Icehouse architecture is a data architectural design principle that leverages Apache Iceberg and Trino to create a data lakehouse. This lakehouse uses enhanced metadata compared to data lake technology, enabling features such as time travel, schema evolution, and more. Starburst, powered by Trino, makes use of those capabilities and matches it with unparalleled data access and an AI platform made to connect the two.
What is Apache Iceberg?
Apache Iceberg is a modern data lakehouse table format. It is part of a family of other data lakehouse formats that include Delta Lake and Hudi. Like all data lakehouse table formats, it collects enhanced metadata, enabling features such as time travel and schema evolution.
What is Trino?
Trino is an open source query engine that is built around the principles of Massively Parallel Processing (MPP). It is designed to connect multiple data sources at scale through data federation, enabling universal data access without data migration or ETL pipelines. Starburst is the most robust implementation of Trino available and provides an AI platform that extends and enhances Trino, especially around data ingestion and data maintenance.
How does Icehouse support an AI Enterprise Intelligence Platform?
Starburst Icehouse architecture is built for universal data access, and that includes access to contextual data. This context is needed by AI workflows of all types, including AI agents. Without it, generic LLM outputs have trouble understanding the context needed to make real impacts at an organizational level. Icehouse Architecture powers the data foundation and context layer that makes AI operate at an enterprise level.
How does Icehouse support the Starburst AI Data Assistant (AIDA)?
AIDA allows organizations to move beyond static, traditional BI dashboards. It creates a conversational, interactive assistant, powered by the context layer. AIDA sits atop a data foundation built around the Icehouse architectural paradigm. In this sense, Icehouse powers and makes possible the conversational insights of AIDA.
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Up to $500 in usage credits included
Discover
Easily search across data sources and clouds to find the data you need.
Govern
Streamline data governance with built-in RBAC and ABAC.
Analyze
Run internet-scale workloads with the power of Trino.
Fast
Accelerate queries with smart indexing and caching technologies like Warp Speed.
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