Blog

This curated set of posts from the Starburst blog have been compiled for the Developer Center community.

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How to Architect an On-Premises Data Lakehouse

An on-premises data lakehouse brings lakehouse capabilities into data centers you own or lease. It …

Oct 15th, 2026

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Writing to Unity Catalog-Managed Tables with Starburst

Databricks’ Unity Catalog-managed tables allow the catalog to fully own Delta Lake transaction state using …

Oct 8th, 2026

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Announcing Server-Side Scan Planning with Starburst and Databricks

We are excited to announce that the Starburst Enterprise 481-e STS now includes support for …

Sep 18th, 2026

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What is Query Pushdown?

Query pushdown is a query optimization technique that moves operations like filters, aggregations, and projections …

Sep 15th, 2026

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What is SQL on Anything?

An analyst gets a question on a Tuesday afternoon. Which of our enterprise accounts opened …

Sep 14th, 2026

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An Analysis of Two Architectures for Agentic Data Analysis

Agents are increasingly supplementing or replacing human data analysis. Instead of a human user sitting …

Sep 11th, 2026

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What is Data Lineage?

Picture this. You’re troubleshooting a critical dashboard that’s showing unexpected values, and your business stakeholders …

Sep 10th, 2026

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What is Column-Level Security?

When your analytics team runs a query against customer data, they probably don’t need to …

Sep 9th, 2026

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Apache Iceberg Tagging Brings Point-in-Time Bookmarks to Your Data Lakehouse

When we introduced Apache Iceberg branching in Starburst, it gave data engineers the ability to …

Sep 4th, 2026

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What is a Query Engine?

Every time a dashboard refreshes, an analyst executes a complex join, or an autonomous AI …

Sep 2nd, 2026

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Data Maintenance With Icehouse LakeOps

Table maintenance is the unsung hero of the Iceberg world, but that doesn’t mean that …

Aug 19th, 2026

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What is Query Caching? 

Query caching stores the results of previously executed queries so that identical or compatible future …

Aug 14th, 2026

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