Databricks

Databricks Apps

Databricks Apps is the fastest and most secure way to build data and AI applications on the Databricks Data + AI Platform. Developers can create applications using popular frameworks such as Dash, Gradio and Streamlit, running on automatically provisioned serverless compute with granular access controls, automatically managed service principals, and automatic user authentication via OIDC/OAuth 2.0 and SSO, plus Unity Catalog integration for data governance.

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5published use cases
5industries
1countries on record
Conversational AI
top AI capability

Evidence mix: High 5 · Medium 0 · Low 0 — bands are computed from each record's evidence signals.

Industry
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5 use cases

Technology & SoftwareAgentic AI

From Data Chaos to a Trust Score for Every Table

Databricks' own internal Data Platform team rebuilt data governance across its internal lakehouse of more than 100,000 tables spanning engineering, go-to-market, HR, finance and product telemetry, using Unity Catalog to move from inconsistent, team-by-team access patterns to automatic, measurable governance. The team built a universal classification model tagging every table by sensitivity and domain, an internal system called Fortress enforcing purpose-bound, time-limited access via Unity Catalog's security APIs, and a continuous Data Governance Score (0-100) per dataset covering documentation, reliability and governance, propagated automatically through data lineage. The resulting governance layer now underpins AI agents used across every function at Databricks, from engineering to finance to facilities, letting teams check a dataset's governance score before using it to train a model instead of running manual reviews.

DatabricksUnity Catalog · Lakeflow Connect · Databricks Apps +3
RetailComputer VisionGenerative AILarge Language Models

Furniture.com Transforms Online Search with Databricks

Furniture.com unifies over 60 retail partners and 1.5 million SKUs on the Databricks Data + AI Platform, using Delta Lake, MLflow and Unity Catalog to run its ML lifecycle. Its Find It AI product-discovery tool uses generative AI to create a synthetic image representing shopper intent, then matches it against the product catalog for image-based search. A Collections model uses LLMs to automatically group related products, finding more than 16,000 collections across 50+ partners with no human intervention. Users who interact with Find It AI show a click-through rate 8x higher than baseline and a return rate 3.2x higher than baseline.

Furniture.comDatabricks Data + AI Platform · Delta Lake · MLflow +3