Databricks Delta Lake
Open-source storage layer that brings ACID transactions, scalable metadata handling, and unified streaming and batch data processing to data lakes.
Use Cases1
Companies1
Industries2
AI Use Cases with Databricks Delta Lake
1
How GoGuardian Uses Databricks to Cut ML Costs 90% While Protecting K–12 Students
GoGuardian · Operations
90%
Operational cost savings with Delphi model
90%Operational cost savings with Delphi model
Vendor
Databricks
databricks.comGet the full context.
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Often Used With
DL
Databricks Lakeflow
Databricks’ declarative pipeline framework for real-time data ingestion, transformation, and validation within the Data Intelligence Platform.
M
MLflow
Open-source ML lifecycle management platform for experiment tracking, model versioning, and reproducible deployment, developed and maintained by Databricks.
DM
Databricks Model Serving
Serverless model deployment service within the Databricks platform that enables real-time and batch inference at scale without manual infrastructure management.
Databricks SQL
Serverless SQL analytics engine built on the Databricks Lakehouse, delivering high-performance queries with elastic scaling and open data formats.
dbt
SQL-based data transformation tool that builds and tests data models in warehouses via version-controlled code.
Databricks Unity Catalog
Unified governance layer for managing access, lineage, and quality of data and AI assets across a lakehouse.
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.