Delta Lake
Open-source storage layer that brings ACID transactions and scalable metadata handling to data lakes.
Use Cases6
Companies6
Industries5
AI Use Cases with Delta Lake
1
How Adidas Analyzes 2 Million Reviews 40% Faster with Databricks GenAI
Adidas · Marketing
30–40%
Improvement in analyst efficiency in review-based decision-making
30–40%Improvement in analyst efficiency in review-based decision-making
2
How Scribd Cut GenAI Costs 90% and Boosted Sign-Ups with Databricks
Scribd · Product Development
90%
Reduction in GenAI operating costs
90%Reduction in GenAI operating costs
3
How Grammarly Serves 5 Billion Daily Events in 15 Minutes with Databricks
Grammarly · Business Intelligence
110% faster
Query speed improvement vs prior data warehouse
110% fasterQuery speed improvement vs prior data warehouse
4
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
5
How Hitachi Uses AI to Detect Railway Overhead Line Defects in Near Real Time
Hitachi · Operations
40,000 km
Overhead line track covered by camera monitoring
40,000 kmOverhead line track covered by camera monitoring
6
How You.com Accelerates AI Agent Development with Databricks
You.com · Product Development
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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.
MLflow
Open-source ML lifecycle platform for experiment tracking, model registry, and deployment across training frameworks.
Databricks Agent Bricks
Framework for building, evaluating, and deploying domain-specific AI agents on a lakehouse platform.
Databricks SQL
Serverless SQL analytics engine built on the Databricks Lakehouse, delivering high-performance queries with elastic scaling and open data formats.
Databricks
Unified data analytics and AI platform built on Apache Spark for lakehouse architecture, ML, and generative AI workloads.
Lakeflow Jobs
Orchestration service for scheduling and running data engineering and ML workflows on Databricks.
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.
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