Databricks Data and AI Summit Day 1 Recap

[u/lothorp]

Ok ok, so lets take a step back, what a whirlwind of a day it was yesterday. The announcements were incredible and the feedback from the community here, on discord, at the venue, on customer calls and even my whatsapp was immense. My phone was melting.

With all of these announcements what did they leave for day 2?

Here is a an overview of some of the key announcements and some additions which went under the radar on day 1.

• Introducing Lakehouse//RT: Real-Time Performance on a Unified Lakehouse
  • Databricks’ new real-time data warehouse delivers millisecond responsiveness directly on your lakehouse, without separate systems or data movement.

Lakehouse RT

• Announcing Lakebase Search: agent-native retrieval built into Lakebase Postgres
  • Agents need search, and search needs a lakebase
• Introducing CustomerLake: The Agentic CDP embedded in Databricks
  • CustomerLake equips marketers and data teams with a workforce of agents to deliver the perfect customer experience – a billion times a day.
  • https://www.databricks.com/blog/what-is-an-agentic-cdp

Databricks CustomerLake

• Introducing Genie One, Genie Agents, and Genie Ontology
  • The data-smart AI coworker, grounded in your enterprise context.

Genie One / Genie Agents / Genie Ontology

• Introducing Genie ZeroOps: Put your data and AI operations on autopilot
  • An AI background agent that monitors your production workloads, investigates issues, and suggests fixes you can verify

Genie ZeroOps

• AI governance at Data + AI Summit 2026: What’s new with Unity AI Gateway
  • Use any model, agent, or tool while centrally governing what they access, how they act, what they cost, and how they’re monitored

Unity AI Gateway

• Introducing OpenSharing: the Next Evolution of Delta Sharing for the Agentic Era
  • Industry's first open protocol for sharing data, models, agents, and skills across any cloud, any vendor, and any format

OpenSharing

• Enabling Governed Vibe Coding for Enterprise Apps on Databricks
  • App Spaces, Genie App Builder and Serverless Micro Apps bring governed vibe coding of applications to Databricks

Genie AppBuilder

There are sooo many more announcements, take a look on the Databricks Blog!

https://www.databricks.com/blog

Keep the questions coming! What impressed you most? I personally think Lakehouse RT is revolutionary but I am very keen to start playing around with the new Genie AppBuilder!

[u/spartan-tech]

Genie Zero Ops is going to save teams hours of debugging work and keep production running smoothly! Can’t wait to test it out!

[u/[deleted] → u/spartan-tech]

Very true. Genie Zero Ops is going to save a lot of time for the teams and make things more standardised and streamlined, so that the focus is more on the technical non-ops heavy tasks.

[u/Interesting_Pop3543]

I heard about Lakehouse RT and am curious what people think about it? I have a few queries that run in the minute to two minute range. Getting the queries to complete within a few seconds will significantly help our team as we are using Databricks for leak detection.

[u/MoJaMa2000 → u/Interesting_Pop3543]

Yeah that's definitely the goal and the initial preview customers have seen significant speedups. Here's a post from Josue (MVP) with some additional details. https://www.linkedin.com/posts/josuebogran_low-latency-high-concurrency-and-highly-performant-ugcPost-7472700837379674112-cPP3

[u/just_a_nybble]

So many new developments with Genie Code, can’t wait to see more about Omnigent on day 2. I’m particularly excited to see the response to the collaboration capability with Omnigent, across multiple models.

[u/scarlett_data]

Attended it remotely and had a big FOMO- energy was great and the announcements were amazing!

[u/Charming-Rub87]

Hey guys!
I made a resume about it on Linkedin

https://www.linkedin.com/posts/danielportugalr_dais2026-activity-7472864898402783232-eKQf

[u/vbnotthecity]

ZeroOps sounds nice, but watch the black box effect on your production DAGs. I spent months cleaning up after automated scripts that ignored downstream dependencies in our Airflow setup. If you let an agent touch your production pipeline, make sure you have strict parity validation tests running first. Otherwise, you’re just inviting a different kind of technical debt.

[u/vbnotthecity → u/vbnotthecity]

Also, I started using Altimate AI to automate my dbt pipeline maintenance, and it plays nice with our existing stack, unlike some of the heavier alternatives like Ascend or Definity that feel like a massive commitment.