Blogsby GlyphNov 6
Why Your AI Agent Is at Risk of Not Accessing Your On-Premises Data
Your AI agent is only as valuable as the data and context it can reach. …
Starburst Blog the company blog of Starburst: latest posts and feed
Starburst · Company blog · 18 a month · 35 posts since Sep 11, 2026
Nov 5
Why Keep a Data Warehouse If You Are Adopting a Data Lakehouse?
Adopting a data lakehouse doesn’t mean retiring the cloud data warehouse on day one. Most …
Oct 30
The Lakehouse Isn’t Enough. Agents Need an Intelligence Layer of Their Own
Our CTO, Martin Traverso, and SVP of Engineering, Jitender Aswani, recently argued that AI agents …
Oct 29
Not So Fast: Equality Deletes, Compaction, and Iceberg V4
Equality deletes are expensive to read, easy to accumulate, and awkward for row lineage and …
Oct 27
Is Data Federation Fast Enough for AI?
A common misperception about data federation is latency. The conventional wisdom states that querying data …
Oct 22
Torin Deep Dive: Lazy Evals in GPU-Native SQL Engine
Torin is the new GPU execution engine we built at Starburst. It runs SQL query …
Oct 21
AI Agents Are Outgrowing the Converged Data Platform
A person asks a question, reads the answer, and decides what to ask next. An …
Oct 20
Your Enterprise Data Wasn’t Built for AI: Data Federation Can Help
Large language models (LLMs) and autonomous AI agents represent a fundamental shift in how organizations …
Oct 19
What Is Data Access?
Data access is the data architectural capability that allows users, analytical tools, and AI agents …
Oct 16
Apache Iceberg Architecture Explained
Apache Iceberg is an open table format designed for high-performance analytics running on object storage. …
Oct 15
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 14
What Is Agentic Analytics?
Agentic analytics uses AI agents to interpret a business question, plan the analysis, run queries …
Oct 13
What Is an Enterprise Data Strategy?
An enterprise data strategy is the cross-functional plan that determines how a large organization collects, …
Oct 9
What Is an On-Premises Data Lake?
An on-premises data lake stores raw data in its native object storage on infrastructure a …
Oct 8
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 8
The Plane, Not the Fleet
Imagine you are an engineer on call, looking at a failed CI run at 2am …
Oct 7
Data Products: Context Engineering for AI
AI agents are experiencing a context crisis. AI context is the talk of the industry …
Oct 6
What Is Agentic Data Infrastructure?
Enterprises are moving past AI copilots that answer questions and into AI agents that take …
Oct 5
Engineering the Data Foundation for Production AI and Analytics
The conversation around enterprise AI has fundamentally changed. We have moved past the phase of …
Oct 2
An Enterprise Data Strategy That Works For Hybrid Data
Most enterprise data lives in more places than any single strategy slide can show. A …
Oct 1
The Data Infrastructure Agentic AI Needs
Most enterprise AI agents never make it past the pilot stage. The obstacle is rarely …
Sep 30
How Has Data Federation Changed in 2026?
Data federation is changing in response to AI. What was always a useful way of …
Sep 29
Your AI Project Isn’t Stuck on the Model. It’s Stuck on the Data
We’ve sat in enough of these conversations to know the pattern by heart. A customer …
Sep 28
Understanding On-Premises Data Lake Architecture
Why do leading enterprises continue to invest heavily in on-premises infrastructure when cloud object storage …
Sep 25
Data Governance for Modern Data Platforms
When enterprise analytics lived inside a single data warehouse, governance felt straightforward because it was …
About this blog
Starburst's own blog, found on starburst.io by the daily check; not reviewed yet.
Posts per week, last 26 weeks
18 a month over the last six months (or since the feed's oldest post)
Posts by month
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AI and agents (12), Data engineering (11), Product and company (7) in the last six months.