Blog

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

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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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Introducing the OpenAPI Connector

Every organization is sitting on data they cannot easily reach. Not because it does not

Aug 13th, 2026

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Can You Create Data Products Using AI Agents?

Data products have quickly become the foundation for delivering curated, domain-specific information across the modern

Aug 12th, 2026

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What is a Data Catalog?

Think of a data catalog as sitting on the control plane rather than the data

Jul 17th, 2026

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A Future Look at Data Systems for Agents

Last week, Berkeley’s EPIC Data Lab (Parameswaran et al) published an essay that is absolutely

Jul 13th, 2026

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Will GPUs Accelerate Your Traditional SQL Workload?

Throughout my career, database workloads have almost exclusively been run on CPUs on traditional servers

Jul 3rd, 2026

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How Unity Catalog Enforces Fine-Grained Policies on Starburst Queries

A couple of weeks ago at the Databricks Data + AI Summit, I gave a

Jun 29th, 2026

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Introducing AIDA Skills: Extending AIDA with Domain Expertise

AIDA automatically ships with a strong analytical baseline. It understands schemas, writes SQL across federated

Jun 12th, 2026

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Understanding Dynamic Connection Passthrough

Managing multiple data sources is one of the foundational demands of data engineering. As organizations

Jun 4th, 2026

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