Two worlds, one platform — and one version of the truth
Most companies run their business on two worlds. Applications run on operational databases; analytics and AI run on a data platform. In between sit pipelines, copies of the data and handovers between teams. The result: decisions made on data that is hours old, two versions of the truth, and AI that can’t act on what’s happening right now.
Databricks Lakebase brings the two worlds together. Your applications, analytics and AI agents work on the same live data, on one platform, under one governance model.
Join Solita and Databricks for a morning that goes from business case to working code.
What Lakebase means for your business
One version of the truth: apps, reports and AI agents see the same data at the same time.
Faster decisions: analytics and AI on live operational data instead of yesterday’s copy.
Lower cost and complexity: fewer databases, pipelines and copies to build, run and secure.
New services, faster: launch data-driven apps and AI agents in weeks, on the platform you already have.
Governance in one place: one model for access, audit and compliance across operational and analytical data.
Two tracks, one goal
Leaders track: CIOs, CTOs, Heads of Data & Analytics and Enterprise Architects
A roundtable with peers on where Lakebase creates the most value. You’ll cover:
Which use cases to start with, and how to build the business case
What it means for your architecture, governance and teams, including how to run the platform after go-live
You leave with a first view of your own Lakebase roadmap.
Builders track: data engineers, software developers, solutions architects and data scientists
Bring your laptop. In a hands-on hackathon you will:
Build an application on Lakebase
Put analytics and an AI agent on the same live data
See how branching makes it safe to experiment against production data
You leave having shipped something that works.