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Databricks SQL

51 use cases using this technology · by Databricks

51published use cases
15industries
12countries on record
Predictive Analytics
top AI capability

Evidence mix: High 51 · Medium 0 · Low 0 — bands are computed from each record's evidence signals.

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51 use cases

HealthcareGenerative AI

BAYADA Builds a Unified, AI-Ready Platform for Compassionate Care

BAYADA Home Health Care is consolidating three separate legacy data platforms (multiple practice management systems, an on-prem ODS, and Snowflake) and 65+ enterprise data sources into a single Databricks Lakehouse under its Data Modernization program, using medallion tiers, Lakeflow Jobs, Asset Bundles, and Unity Catalog governance. As part of the migration, BAYADA uses an LLM-powered code converter and Databricks Assistant to automate SQL and stored-procedure translation, and applies a machine learning-based data mastering accelerator to create golden Client, Payor, Candidate, and Referrer records. BAYADA reports roughly 30% better workload performance and cost efficiency versus its prior Snowflake environment, and is laying a governed foundation for AI agents supporting payroll validation, compliance monitoring, and operational insights, separately from its roadmap for AI-assisted chart review and risk prediction.

BAYADA Home Health CareDatabricks SQL · Lakeflow Jobs · Unity Catalog +1
Financial ServicesMachine Learning

AXA Japan Unifies Data and Modernizes Analytics with Databricks

AXA Japan, formed through the integration of its life and property & casualty insurance businesses under the OneAXA transformation, consolidated multiple legacy data lakes and Redshift/Oracle-based systems into a single governed lakehouse on Databricks, using a lift-and-shift approach with automated code conversion of legacy ETL logic into dbt models on Databricks SQL. Unity Catalog centralizes access governance across business units. AXA Japan reports up to 60% lower warehouse costs, 70% lower ETL costs for migrated workloads, and roughly 40% faster development after retiring legacy systems, and is now building toward production machine learning use cases spanning fraud detection to customer support automation on the same platform.

AXA JapanDatabricks SQL · Unity Catalog · dbt
Media & EntertainmentAgentic AIConversational AIGenerative AI

Turning 700T Customer Signals into Media Intelligence

MiQ, a global programmatic media partner, built Sigma, an advertising platform on the Databricks Data + AI Platform, to unify more than 700 trillion fragmented customer signals across watching, browsing and buying activity into a single governed intelligence layer. Data flows through a medallion architecture on Delta Lake with Unity Catalog governance, and Databricks SQL serves dashboards, Genie Spaces and agent queries. MiQ built a Planning Agent using two Genie spaces (unified consumer signals and historical campaign data) plus Vector Search to translate natural-language audience descriptions into activation segments, letting non-technical marketers go from audience discovery to media plan recommendations in minutes instead of days. Sigma has powered over 40,000 campaigns for more than 2,300 advertisers since launch, with campaigns returning 2.2x the ROI of standard programmatic campaigns; campaign planning and analysis that once took 6+ hours now takes roughly 5 minutes, and AI-assisted optimization workflows cut storage needs by 50%.

MiQDelta Lake · Unity Catalog · Databricks SQL +3
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
Financial ServicesConversational AI

Scaling Real-Time Lending and Analytics for Vivriti Capital

Vivriti Capital, an Indian fintech NBFC providing structured debt solutions, migrated from Amazon Redshift and an internally built open-source data platform (Spark, Airflow, custom orchestration) to Databricks in an eight-week phased migration covering roughly 20 workflows and 50+ pipelines. Databricks SQL now powers analytics and regulatory reporting separated from transactional lending systems, with governed lakehouse tables providing built-in lineage and time-travel for RBI/SEBI audit requirements. Vivriti uses Databricks Genie for semantic search and conversational analytics, replacing an in-house text-to-SQL solution, and is building toward AI-assisted underwriting, automated credit checks, fraud detection and borrower de-duplication within real-time latency requirements. The company reports roughly 25-30% lower total cost of ownership and about 20% faster SQL performance after the migration.

Vivriti Capital· IndiaDatabricks SQL · Databricks Genie · AI/BI
HealthcarePredictive AnalyticsConversational AI

Keeping Every Patient Healthier as Fast as Care Demands

Duly Health and Care, the largest multi-specialty physician-owned practice in the U.S., migrated from a 17-year-old SQL Server warehouse to the Databricks Data + AI Platform, unifying nearly 60 data sources including Epic and Workday via Delta Lake and Unity Catalog. Duly's data science team used MLflow and AutoML to build a hospital readmission prediction model, comparing Random Forest, LightGBM and XGBoost algorithms, trained on 100,000 historical patients and achieving a ROC AUC of 89.2%. The company also built a conversational "Physician Finder" tool integrated into its Epic workspace, and five Genie Agents (Patient, Provider, Finance, HR, Appointments) letting non-technical staff query live data in plain English. Duly reports a 29% drop in hospital readmission rates (14% to 10%), saving an estimated $4.5 million annually, a 30% reduction in data platform costs versus SQL Server, and roughly double the number of data projects completed in 2025 versus 2024 with the same headcount.

Duly Health and CareDatabricks SQL · Delta Lake · Unity Catalog +3
HealthcareGenerative AI

A Modern Data Warehouse for Tomorrow's Healthcare Needs

Premier, a U.S. healthcare improvement company serving two out of three U.S. healthcare providers, migrated from a mix of Teradata, Azure Synapse and Oracle to Databricks SQL to support an AI-first strategy and deliver AI-ready data for products including Quality Enterprise (a benchmarking tool used by 20,000+ users) and INsights (an AI-ready analytics platform used by 77 health systems). Because Databricks SQL runs on the same unified platform as Databricks' AI and ML capabilities, Premier can prepare and serve AI-ready data directly from its warehouse. Premier's 500+ field consultants use AI features including Genie Code and Databricks Assistant to generate SQL queries and speed up analysis; the company reports patient flow analyses that once took days now complete in under three hours. Premier projects roughly $1M in annual savings, 30%+ improvement in ad-hoc analytics development, and 40% improvement in developer productivity for one of its first migrated teams.

Premier IncDatabricks SQL · Genie Code · Databricks Assistant
RetailGenerative AIPredictive Analytics

Cultivating the Perfect Lawn for 2.3 Million Customers

TruGreen migrated to the Databricks Data + AI Platform, using Databricks SQL on Azure for its data warehouse, Unity Catalog for governance, Lakeflow Spark Declarative Pipelines to stream data from Dynamics 365, and Qlik Replicate for legacy ERP integration. It built TruSight, an AI-powered reporting solution delivering daily insights to 200+ branch and regional managers before crews start work at 7 AM, evaluated against ChatGPT and multiple Microsoft Copilot variants before selecting Databricks for accuracy, cost, and control over context and LLM choice. TruGreen deployed Claude Sonnet 4.5 via Databricks Model Serving (External Models), using MLflow's LLM judges to evaluate AI output quality, and has churn and lifetime-value machine learning models in production. Databricks SQL cut data warehousing costs by roughly 50%, and automated data lineage in Unity Catalog reduced ERP impact analysis from weeks to minutes (a 99% improvement).

TruGreenAgent Bricks · Databricks SQL · Spark Declarative Pipelines +4
Technology & SoftwareAgentic AIConversational AI

Inside the Governed Data Platform Powering ChatGPT: OpenAI on Databricks

OpenAI runs its marketing, analytics, security, and finance operations on the Databricks Data + AI Platform across Azure and AWS, with usage data landing in Delta tables governed by Unity Catalog. OpenAI's Security team uses Databricks streaming pipelines to standardize infrastructure, cloud, and vendor audit logs into governed Delta tables for threat detection, investigation, and incident response, including Codex agents querying governed security data via SQL APIs. The marketing team uses a Bronze-Silver-Gold architecture to build audiences without writing SQL for one billion weekly active users, eliminating $400,000 per month in storage costs. Separately, Databricks and OpenAI announced a multi-year partnership bringing OpenAI's frontier models, including GPT models and Codex, natively into the Databricks Data + AI Platform, callable via SQL or API against data governed by Unity Catalog.

OpenAIAgent Bricks · Databricks SQL · Delta Lake +2
Media & EntertainmentConversational AI

Amagi Ensures Millions Never Miss Their Shows

Amagi, a media technology company supporting 8,000+ streaming channels and 300+ distributors, consolidated fragmented data systems (Dataproc, Snowflake, and in-house platforms) across AWS and GCP into the Amagi Data Platform (ADP), a unified lakehouse built on Databricks with Unity Catalog governance. The platform serves real-time data for ad decisioning, content performance analytics, billing and customer reporting to internal teams (via notebooks, Genie, SQL warehouses) and customer-facing products. Amagi reports 45% cost savings from consolidating fragmented data systems, 15x faster time to market for new data products, and 35% fewer production incidents due to improved data reliability.

AmagiDatabricks SQL · Delta Lake · Spark Declarative Pipelines +2
Financial ServicesFraud & Anomaly DetectionRecommendation & Personalization

Maya is simplifying banking for diverse populations

Maya, the Philippines' leading fintech company, partnered with Databricks to modernize its data architecture into a unified lakehouse on Delta Lake, centralizing 100% of its data for real-time access and AI scalability. Maya's ML-powered underwriting tools cumulatively disbursed $2.1 billion in loans by year-end 2024. AI-driven fraud detection, combining transactional sequence embedding, network analysis and predictive modeling, achieved up to a 98% reduction in fraud losses. Hyperpersonalized, AI-driven marketing campaigns increased average revenue per user (ARPU) by 45%. Using Unity Catalog for governance and automated ETL pipelines, Maya also achieved a 28% increase in storage capacity without a rise in costs.

Maya· PhilippinesDatabricks · Delta Lake · Unity Catalog +3
EducationMachine LearningFraud & Anomaly DetectionAI Model Development & MLOps

GoGuardian: Safer schools, empowered teachers, thriving students

GoGuardian, which powers safe, focused learning for half of U.S. K-12 students, migrated its ML infrastructure to Databricks to manage billions of daily inferences for web filtering, classroom management and harm prevention while maintaining a PII-free, COPPA/FERPA-compliant data environment. Using Delta Lake, Lakeflow, Unity Catalog, MLflow and Databricks Model Serving, GoGuardian achieved up to 50% reduction in machine learning operational costs, 90% operational cost savings with its Delphi website classification model, and a 62% reduction in inappropriate device use among students. AI-driven prioritization also cut the volume of records requiring human review for high-risk content by over 95%, from 1 million to 35,000-45,000.

GoGuardian· United StatesDelta Lake · Databricks Lakeflow · Unity Catalog +6
Travel & HospitalityMachine Learning

NOL UNIVERSE builds unified data lakehouse with Databricks, cutting batch computing costs by 77%

NOL UNIVERSE, a Korean travel, leisure, and culture platform operating the NOL, NOL Interpark Tours, and NOL Tickets brands, migrated approximately 2,500 Hive-based queries and its Apache Airflow/NiFi pipelines to the Databricks Platform, consolidating disparate BI tools into a single environment and giving each business domain a self-service analytics environment governed by Unity Catalog. The customer service team also used Databricks machine learning to automate categorization of CS consultation history. The migration was completed in two months, reducing time to complete batch aggregation by 66%, decreasing batch computing costs by 77%, and increasing data availability time by 27%.

NOL UNIVERSE· South KoreaDatabricks SQL · Delta Sharing · Unity Catalog
Financial ServicesMachine LearningGenerative AINatural Language Processing

Techcombank: Ushering Personalized Banking for Millions of Customers

Techcombank, Vietnam's largest private financial institution with 315 branches serving over 15.3 million customers, adopted the Databricks Data + AI Platform to unify data from disparate on-premises databases and a legacy data warehouse. Central to the initiative is 'Customer Brain,' a customer-360 tool centralizing customer data for targeted marketing, and the Lead Allocation Curated Engine (LACE), which uses AI insights to prioritize and assign sales leads. Techcombank built machine learning models for fraud detection and credit risk management, using an enterprise feature store with over 7,500 features and more than 100 ML risk models to manage a credit lifecycle handling a twentyfold increase in retail credit applications. MLOps on Databricks with MLflow cut model implementation from months to weeks. The bank is developing an internal RAG-based chatbot, Smartie, built on Databricks AI Search, and piloting AI/BI Genie for natural-language data queries. The platform has over 1,000 active users bank-wide.

Techcombank· VietnamDatabricks Platform · Delta Lake · MLflow +4
Travel & HospitalityRecommendation & Personalization

TMAP Mobility Powers Smarter, Safer Travel

TMAP Mobility, Korea's leading mobile navigation service with over 25 million subscribers and adoption in more than 95% of domestic vehicles, adopted the Databricks Platform to address data access and governance roadblocks that stalled AI-driven personalization efforts. Using Genie Space, non-data specialists can now explore and analyze data with natural language, and Unity Catalog provides granular permission management and column masking. As of September 2025, the analytics team receives 68% fewer simple data extraction requests, and approximately 48% of all employees can directly explore and utilize data. TMAP processes more than 7.3 billion mobility data points annually and used the Recommendation Engines Solution Accelerator to prototype and deploy scalable recommendation models faster.

TMAP Mobility· South KoreaDatabricks Platform · Genie Space · Unity Catalog +3
ManufacturingRetrieval-Augmented GenerationConversational AINatural Language Processing

Lippert Improves Customer Support with GenAI

Lippert, a $3.8 billion global manufacturer of components for RV, marine and automotive brands, used Databricks and Agent Bricks to consolidate fragmented data into a single lakehouse and deploy AI agents for customer support. An AI assistant trained on product manuals, technical case history and field-expert videos surfaces troubleshooting guidance for call center agents in real time, cutting new-agent ramp time from six months to four weeks (an 85% reduction). Using Agent Bricks' evaluation framework and synthetic data, model accuracy for the support agent improved from 33% to 84% within weeks. AI also analyzes thousands of support calls daily for coaching and quality scoring (versus a prior manual sample of 100 calls/month) and automates call summarization into Salesforce. The initiative is expected to save millions per year and reclaim hundreds of thousands of hours, with new agents planned for HR, warranty and supply chain.

LippertDatabricks · Agent Bricks · Unity Catalog +5