Connected by default
Authentication, data access, and services work together out of the box — eliminating glue code.
Databricks Apps. Build full-stack apps on your data.
A deploy platform for apps, with built-in auth, hosting, and integrations.
[Benefits]
Where your app and data come together. Most app stacks require wiring auth, data, and services together. Databricks Apps runs it all in one place.
[Benefits]
One unified stack
No separate application stack or environments to manage — focus on building and shipping instantly.
Built on your data
Use governed data, models, and permissions your platform already runs on for seamless access.
[Features]
How you build and ship with Databricks Apps
01Serverless app hosting
Run your app inside Databricks. [Serverless hosting for full-stack apps, with compute, TLS, and deployment handled.]
Apps run inside your workspace — no infrastructure to manage and no separate hosting to maintain.
- Containerized runtime with managed compute
- Built-in TLS and automatic HTTPS app URLs
- Automatic builds and deploys from source
02Auth & Permissions
Secure your app with built-in identity. [Native authentication and permissions, fully integrated with your data and resources.]
Identity flows through your app — no separate auth system to build or permissions layer to manage across data, models, and services.
- Service principals created and managed per app
- On-behalf-of-user access with fine-grained controls
- Permissions enforced across data, models, and resources
03Native integrations
Connect to data and services, natively. [Apps integrate directly with your data, models, and services as first-class resources.]
Declare dependencies once — no API keys to manage or services to wire together across environments.
- Native access to SQL, Lakebase, and storage
- Built-in connections to models and vector search
- Secrets and external services managed in one place
[Use cases]
How teams build with Databricks Apps. [Full-stack apps powering internal tools, AI interfaces, real-time systems, and more.]
Data Applications
Custom tools and dashboards built directly on warehouse data and metrics.
AI Chat Applications
Chat interfaces over documents, structured data, or a combination of both.
Agent UIs Control Center
Interfaces to monitor, debug, and manage AI agent workflows and actions.
Inference Tools Hub
Simple applications for running models with real inputs and displaying outputs.
Real-Time Apps Engine
Low-latency applications powered by operational data and continuously updated systems.
Admin Tools Console
Internal CRUD tools for managing data, users, and business operations.
Data and AI Apps Platform
Applications that combine analytics, models, and user interaction in one place.
Workflow Apps Suite
Tools that trigger jobs, manage approvals, and automate business processes.
[Testimonials]
Databricks Apps powers real applications. See how teams ship data and AI apps on the platform.
"Databricks Apps helped me turn my RAG proof of concept into a polished and branded application. We built a RAG system to answer user questions by utilizing our company's extensive knowledge base."
Heather Gomer, Senior Data Scientist
"The seamless integration of Databricks Apps into our DevOps processes enables us to quickly demonstrate and test new features with users while also providing a secure, production-ready front end for the internal application — all without needing additional infrastructure."
Lukas Heidegger, Data and MLOps Engineer
"By using Databricks Apps, we saved many rounds with the security and infrastructure team and were able to instantly share our app with stakeholders in production."
Cesar Augusto Charalla Olazo, Senior Machine Learning Engineer
Databricks Developer Hub