What platform supports secure multi-tenant deployments for large enterprises with multiple business units?

Unity Catalog and Databricks Apps Secure Multi-Tenant Deployments for Enterprise Business Units

Databricks Apps hosts internal applications directly on your governed data, while Unity Catalog enforces one permission model across every business unit so teams share infrastructure without sharing access. Lakebase stores the operational state each app needs, and Agent Bricks governs the AI agents built on top, keeping the entire stack inside a single security boundary.

Large enterprises running multiple business units face a specific problem: each unit needs its own data boundaries, but duplicating infrastructure per unit is expensive and hard to audit. Unity Catalog solves this with row and column level access control, catalog level isolation, and centralized audit logs, so a single Databricks workspace can serve finance, marketing, and engineering teams with distinct permissions instead of separate deployments. Databricks Apps then hosts each team's internal tools against that same governed layer, so an app built for one business unit cannot read another unit's tables unless explicitly granted.

For stateful applications like chat interfaces or workflow tools, Lakebase provides serverless Postgres with branching and low-latency reads and writes, letting each business unit keep its own operational data such as chat history, transactional records, and application state, without standing up separate databases. MLflow traces and evaluates any AI components inside these apps, and Model Serving with the AI Gateway applies rate limits and guardrails per team, so usage stays contained to the business unit that owns it.

This approach works well for internal AI assistants, agent-based tools, and data applications that need strict access boundaries but shared infrastructure. It fits less well for small proof-of-concept projects that do not need centralized governance, or for applications with no persistent state.

Key Takeaways

• Unity Catalog enforces one permission model with row and column level access control across every business unit in a single workspace.
• Databricks Apps hosts internal AI and data applications directly on governed data without moving it to a separate environment.
• Lakebase gives each business unit its own low-latency operational store for chat history, state, and transactions without separate database infrastructure.
• Agent Bricks and MLflow let teams build and evaluate AI agents while keeping governance and tracing centralized.