Databricks

Go from a pre-built template to a deployed Databricks App using Replit’s agent. This demo shows how to open a Genie Analytics template from DevHub directly in Replit, build the app with Databricks data, test the Genie chat, and deploy it to Databricks. Once deployed, the app includes the built-in security and governance available with every Databricks App. Request access to the private preview → https://lnkd.in/giqZVS8a Watch the demo and explore the template gallery on DevHub → https://lnkd.in/gHC9txwX

☑️ Your Unity Catalog managed tables can now stay current with best-practice features automatically. Auto Upgrades observes how each table is used, verifies workload compatibility, and applies eligible GA features when the table is ready. That means better performance, reliability, interoperability, and cost savings without manual compatibility checks or ALTER TABLE work. Every upgrade remains visible, reversible, and configurable per table. https://lnkd.in/ghRwR_-e

You ship code in seconds and build apps, agents, and AI products faster than ever. So why does your database still take hours to provision? Lakebase is a new category of serverless Postgres database built for the way teams write software today, with instant branching, separate compute and storage, and architecture designed to scale with app and agent workloads. Read 𝘓𝘢𝘬𝘦𝘣𝘢𝘴𝘦 𝘍𝘰𝘳 𝘋𝘶𝘮𝘮𝘪𝘦𝘴 to learn: • Why traditional databases break down under modern app and agent workloads • How separating compute from storage changes cost, speed, and reliability • What instant branching and cloning unlock for development teams • How the lakebase architecture fits alongside your lakehouse for unified transactional and analytical work https://lnkd.in/gnz3dShw

More than 5,000 students applied. Now it's time to meet the inaugural Databricks Student Fellows. Selected for their campus leadership and hands-on technical expertise, these fellows will bring data and AI learning to their universities through workshops, hackathons, mentorship, and community building. Meet five standout fellows whose work spans AI research, data engineering, and developer communities → https://lnkd.in/g-aJUgSZ

With more than 250 million monthly users, Zillow needed a unified data foundation to support AI across its business. By standardizing on Databricks with Unity Catalog, Zillow replaced siloed systems with a single governed platform for data and AI. The results include more than 65% lower operational overhead, over 1,500 monthly active internal users, 450% user growth, and 44% fewer platform support tickets per active user. Genie Code helped teams build executive dashboards in under an hour, while Lakebase serves as the agent memory layer for Zillow AI Mode. Explore Zillow's full story → https://lnkd.in/g6yH57Nv

Missed the #DataAISummit 2026 keynote? This five-minute recap covers every major product announcement, including: - Genie One, Ontology, App Builder, and ZeroOps - Lakehouse//RT powered by Reyden - LTAP - Unity AI Gateway - Omnigent - CustomerLake - And more See what you missed, then explore the full keynotes, demos, and select sessions on demand → https://lnkd.in/gd_2Kw76

Databricks CEO Ali Ghodsi joined CNBC's 'The Exchange' to break down the company's new $188B valuation, and what's fueling accelerating revenue across regions and products. That includes more companies adopting tools like Unity AI Gateway to manage spend and access across models, and Genie to get trusted answers and actions from their business data. "Everybody wants to do cost controls. And they want to control their budgets." Watch here: https://lnkd.in/gSDa5p3Q

We’re excited to announce that Databricks is raising strategic funding, valuing the company at $188 billion. We’ll use this new capital to accelerate our AI offerings for customers, including: - Unity AI Gateway, our multi-AI governance solution that helps enterprises govern and control the costs of their AI - Genie, our AI coworker that turns business data into trusted answers and actions - Lakebase, our serverless Postgres database built for AI agents https://lnkd.in/gN4nZVFc

“What matters enormously is reducing what I call insight lag, the gap between when data exists somewhere in the company and when someone can actually use it.” Howden Group Chief Data Officer Barry Panayi shares why governed data services, data quality closer to ingestion, and insight lag should shape how leaders think about enterprise data architecture in the AI era. Read the full conversation: https://lnkd.in/gsDp8QQu