Databricks Apps
Lightweight deployment framework for building and hosting data apps and dashboards directly on a lakehouse.
Use Cases5
Companies5
Industries5
AI Use Cases with Databricks Apps
1
How A2go Cuts AI Application Delivery in Half with Databricks
A2go · Operations
50%
Reduction in AI application delivery time
50%Reduction in AI application delivery time
2
How SSE Airtricity Drives 90% Customer Engagement with AI Energy Insights
SSE Airtricity · Customer Service
90%
Customer engagement with personalized insights
90%Customer engagement with personalized insights
3
How E.ON Uses Databricks Apps to Deploy GenAI Applications in Under 2 Minutes
E.ON · Operations
1–2 minutes
Application deployment time
1–2 minutesApplication deployment time
4
How Real Chemistry Cut Healthcare AI Prototyping from Months to Days with Databricks Apps
Real Chemistry · Research & Development
1 week
Time from prototype to proof-of-concept deployment
1 weekTime from prototype to proof-of-concept deployment
5
How Comcast Advertising Accelerates Campaign Forecasting with Databricks Apps
Comcast Advertising · Marketing
10–30%
Reduction in data product development time
10–30%Reduction in data product development time
Vendor
Databricks
databricks.comGet the full context.
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Models Used With
Claude Sonnet 4.5
Anthropic's multimodal model with a 1M-token context for coding, analysis, and document tasks.
Often Used With
Databricks Unity Catalog
Unified governance layer for managing access, lineage, and quality of data and AI assets across a lakehouse.
Databricks Delta Lake
Open-source storage layer that brings ACID transactions, scalable metadata handling, and unified streaming and batch data processing to data lakes.
Databricks Agent Bricks
Framework for building, evaluating, and deploying domain-specific AI agents on a lakehouse platform.
Lakeflow Jobs
Orchestration service for scheduling and running data engineering and ML workflows on Databricks.
Databricks
Unified data analytics and AI platform built on Apache Spark for lakehouse architecture, ML, and generative AI workloads.
Databricks SQL
Serverless SQL analytics engine built on the Databricks Lakehouse, delivering high-performance queries with elastic scaling and open data formats.
Databricks AI Model Serving
Managed endpoint service for deploying and serving ML models at scale within the Databricks platform.
Databricks Lakeflow
Databricks’ declarative pipeline framework for real-time data ingestion, transformation, and validation within the Data Intelligence Platform.
Companies
Companies documented using this tool in real use cases.
Vendor
Databricks
databricks.comCompanies
Companies documented using this tool in real use cases.
Get the full context.
Sign up to read complete case studies, access detailed metrics, and unlock all use cases.