Databricks One: AI insights without coding

Lets business users explore data without writing code
ntroduces AI/BI Genie for conversational analytics
Connects directly to Databricks Lakehouse with full governance

Databricks bets big on business accessibility

Databricks has officially announced Databricks One, a major step toward making data and AI tools more accessible for nontechnical users across the enterprise. Unveiled in June 2025 and now in private preview, One adds a new consumer-grade experience layer on top of the existing Databricks Data Intelligence Platform.

The goal: bring self-serve dashboards, AI-powered insights, and no-code workflows to business users in marketing, finance, sales, and operations, without sacrificing the security and governance trusted by data teams.

Here’s what’s inside and why it matters.

What is Databricks One?

Databricks One is a simplified portal for enterprise data access. It offers a curated, no-code interface that plugs directly into the Lakehouse platform, powered by Mosaic AI and governed by Unity Catalog.

The experience is tailored to nontechnical professionals. Dashboards, apps, and insights are organized by domain, such as “Customer 360” or “Revenue Performance”, making it easy for users to find what they need without digging through raw datasets.

Key features

AI/BI dashboards

Point-and-click dashboards built for fast exploration. Users can forecast trends, track KPIs, and run key-driver analysis, all without needing to know SQL or Python.

AI/BI Genie

A conversational assistant that answers natural-language questions like, “Why did Q2 revenue dip in North America?” It uses retrieval-augmented generation to surface contextual insights and follow-ups.

Databricks apps

Prebuilt business apps for workflows like lead scoring, forecasting, or campaign tracking. They run directly on Lakehouse data, without requiring code or manual integration.

Identity-aware UX

Unified governance through Unity Catalog ensures every user only sees the data they’re allowed to. Business metadata and access policies are enforced automatically.

What makes it different

Databricks One is not a rebranded dashboard tool. It’s a deliberate shift in how Databricks surfaces enterprise data to business users:

No data movement: Queries hit the Lakehouse directly, no data copies or syncs
Full lineage and metadata: Unity Catalog governs data access, metrics, and definitions
Backed by Mosaic AI: Includes generative agents, RAG, and model lifecycle support
No seat-based pricing: Business users don’t need compute entitlements or coding permissions

It’s designed to be fast, safe, and actually useful for day-to-day business needs.

Strategic context

Databricks One arrives at a moment when enterprise AI tools are flooding the market. But while others focus on documents and productivity apps, Databricks is doubling down on structured data.

One complements other key releases:

AI/BI Genie replaces LakehouseIQ and integrates natively
Lakeflow Designer enables no-code pipeline creation
Lakebase introduces Postgres-style querying for Lakehouse data
Unity Catalog upgrades improve metric governance and discoverability

The move positions Databricks not just as a data engineering platform, but as a daily driver for decision-makers across the business.

Who should use it

Databricks One is built for professionals who need timely answers but don’t want to wait on data teams. Key users include:

Sales operations: Quick territory and quota views
Finance leaders: Real-time budget tracking and forecasts
Marketing teams: Campaign attribution and performance
Support teams: Churn risk and customer health insights

At the same time, it reduces dashboard requests and query load for data teams, allowing them to focus on model building and platform stability.

If Databricks can maintain this balance of usability and control, One may become the new default entry point for enterprise data.