Unity Catalog
23 use cases using this technology
Operationalizing Analytics Data at Scale (DEICHMANN SE)
DEICHMANN SE
DEICHMANN SE, Europe's largest footwear retailer with roughly 4,700 stores in more than 30 countries and about 8.7 billion euros in 2024 revenue, adopted Databricks Lakebase, a managed PostgreSQL database integrated with its Databricks Lakehouse, to activate governed customer and product data for e-commerce marketing without building separate integration pipelines. Lakebase reduced a data-product publishing pipeline to 3 clicks and about 30 seconds, and is now in production across Europe feeding SAP Emarsys for e-commerce marketing.
Independer cuts feature delivery 50% with Lakebase
Independer
Independer, the largest independent comparison platform in the Netherlands, used Databricks Lakebase to eliminate the export bottleneck between its Customer 360 data platform (built on Databricks and Unity Catalog) and the production APIs serving its website, customer service tools, and internal analytics. Because customer data had been fragmented across legacy on-premises systems, engineers previously had to write export scripts and load a separate SQL Server instance before building new features. By synchronizing gold tables directly with consuming services via Lakebase (built on PostgreSQL), Independer cut development work for new Customer 360 features by 50% and is now building GenAI agent proof-of-concepts that store state in Lakebase.
Coop Reaches 30% Retention with "AskCap", a Databricks Genie Assistant Born From a Hackathon
Coop
Retail cooperative Coop turned an internal hackathon prototype into AskCap, an AI assistant built on Databricks Genie and governed through Unity Catalog, that lets employees query enterprise data in natural language directly inside Microsoft Teams. Category managers use it for point lookups such as checking market share of specific products, and it has reached a 30% retention rate among internal users interacting with it.
Trackunit Builds IrisX on Databricks, Giving Construction Customers 5x Faster Time-to-Market
Trackunit
Construction telematics company Trackunit unified previously siloed Finance, Engineering and RevOps data (6 million connected machines, 3 billion data points processed daily) onto the Databricks Data + AI Platform, then exposed that capability to customers through its IrisX platform. OEMs, rental and construction companies building on IrisX see 5x faster time-to-market than building their own data architecture, and Trackunit is extending the platform toward predictive maintenance using Databricks Genie and Agent Bricks.
Plenitude builds machine learning models on Databricks to forecast energy demand and renewable production
Plenitude
Eni-owned energy company Plenitude, which serves 10 million households and businesses across Europe, uses statistical models and machine learning on the Databricks Data + AI Platform to forecast customer energy consumption at hourly and daily granularity, forecast wind and solar generation from its renewable asset portfolio, and run customer segmentation and propensity models across 60 implemented use cases.
Maya is simplifying banking for diverse populations
Maya
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.
Natura unifies data governance across 200+ AI initiatives with Databricks Unity Catalog
Natura
Brazilian beauty company Natura standardized on Databricks and Unity Catalog after previously running siloed data warehouses (Redshift, SAS, BigQuery) across countries and departments. Natura now supports more than 200 initiatives on Databricks, governs 178 data products across 19 onboarded domains, and uses AI/BI Genie for natural-language data queries. CRM initiatives built on the governed data now generate 8% of Natura's revenue.
GoGuardian: Safer schools, empowered teachers, thriving students
GoGuardian
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.
Furniture.com Transforms Online Search with Databricks
Furniture.com
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.
TBC Bank Operationalizes Trusted Data with Lakebase
TBC Bank
TBC Bank, the largest banking group in the Caucasus region, built a Lakehouse on Databricks and adopted Lakebase and Databricks Apps to move from on-premises SQL Server instances and month-long reporting cycles to self-service analytics and AI-driven applications, including a web-based AI chatbot and AutoML-based credit risk scoring. Credit risk model deployment fell from 14 weeks to two days, and more than 600 users regularly query governed data through Genie.
NOL UNIVERSE builds unified data lakehouse with Databricks, cutting batch computing costs by 77%
NOL UNIVERSE
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%.
Illimity modernizes commercial banking with Databricks and adopts LLMs for customer-centric chatbots
Illimity Bank
Illimity, an Italian digital bank, built its data architecture entirely around the Databricks Data + AI Platform to process data in real time, extract actionable insights and securely share it with partners. Databricks has supported Illimity's adoption of LLMs, using vector embedding and vector databases, to inform its knowledge base and power intelligent customer-centric chatbots. Illimity is also exploring Databricks Clean Rooms to monetize its architecture using deterministic or machine learning models without compromising confidentiality.
Hafnia modernizes maritime operations with Databricks Lakebase
Hafnia
Maritime tanker operator Hafnia built a 'data supermarket' on the Databricks Data + AI Platform and adopted Lakebase, a managed Postgres database natively integrated into Databricks, to run operational applications alongside analytics. This powers Hafnia's internal DNA Port operating portal and the Marvis AI copilot. Time to deliver production apps dropped from about two months to four or five days (90%+ reduction), and a 10-person data team now supports 10 departments, 200+ vessels and 4,500+ crew.
Building the foundation for the 5G revolution: Digital Nasional Berhad
Digital Nasional Berhad
Digital Nasional Berhad (DNB), Malaysia's government-established 5G network operator, used the Databricks Data + AI Platform to build a cost-effective, high-performance data platform to process 5G network data at scale, achieving 82%+ populated-area coverage in two years. Using Delta Lake with a medallion (Bronze/Silver/Gold) architecture, Databricks Workflows for pipeline orchestration, serverless compute, Notebooks for team collaboration, Unity Catalog for governance, and MLflow for ML lifecycle management, DNB achieved 70% cost optimization and a 60-70% increase in data pipeline performance, and has begun building AI-powered chatbots giving network engineers real-time access to performance insights with geospatial visualizations.
Zapier Powers Real-Time Customer Experiences with Databricks
Zapier
Zapier unified its data on the Databricks Platform to enable self-serve, AI-powered analytics across product, marketing, sales and support. Using the Databricks MCP connector built on Unity Catalog, AI agents get governed real-time access to Zapier's data; Vector Search handles over 600k requests per day for semantic search and RAG-based knowledge retrieval; MLflow and Model Serving operationalize ML workflows. Dashboard creation time dropped from 2-3 days to a few hours, and the share of data queries executed via AI-assisted workflows grew from 0% to roughly 75% within 6-9 months.
TK Elevator: Moving Beyond with Data + AI Driven Service Intelligence
TK Elevator
TK Elevator (TKE), one of the world's largest providers of elevators, escalators and vertical transportation systems, adopted the Databricks Platform to unify and process more than 500 million IoT telemetry events daily from connected elevators across 30+ countries, moving from reactive to predictive maintenance. TKE's MAX platform generates predictive insights that feed actionable guidance to field technicians via its Digital Operations Center (DOC), which generates 30,000-40,000 tickets annually and has reduced technician troubleshooting time on call-backs and unplanned shutdowns by up to 20%. The platform scaled from 3 to over 40 markets (10x expansion), cut data pipeline delivery from months to weeks, and reduced data sharing time with internal/external consumers from three months to three days (90% reduction). TKE uses Delta Lake, Delta Sharing, Lakeflow, Unity Catalog, Databricks Assistant, MLflow, AI Gateway, Vector Search and Model Serving, and is exploring agentic AI to combine technical, service and commercial context in real time.
FactSet cuts code-generation response time 70% with a standardized Databricks LLMOps framework
FactSet
FactSet, a financial data and analytics provider, standardized its GenAI development on Databricks Mosaic AI and managed MLflow after fragmented tooling across teams caused collaboration and governance problems. For its FactSet Mercury code-generation feature, FactSet fine-tuned meta-llama-3-70b and Databricks DBRX models, reducing average response latency by more than 70%. Its Text-to-Formula project reduced end-to-end latency by about 60% using a compound AI architecture with fine-tuned open-source models.
TMAP Mobility Powers Smarter, Safer Travel
TMAP Mobility
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.
Franklin Templeton scales investment insight with Databricks Agent Bricks
Franklin Templeton
Franklin Templeton built the internal SIGNALS application on Databricks Agent Bricks, combining proprietary fund scoring models with unstructured documents like prospectuses and fact sheets in Unity Catalog to generate AI-powered portfolio commentary. Analysts save 2+ hours per week, field teams surfaced $15 million in new product opportunities during early rollout, and AI-powered commentary coverage expanded from 200 products to hundreds.
HP uses Databricks AI/BI Genie to enable self-serve analytics across the enterprise
HP
HP's Analytics and Insights, product management and Digital GTM teams adopted Databricks AI/BI Genie to let business users ask natural-language questions of billions of telemetry events instead of waiting on engineers to build dashboards or write SQL, improving efficiency in analyzing product, sales and customer patterns by 40-50% and empowering thousands of users with self-service analytics, governed by Unity Catalog role-based access control.
From high costs to near real-time insights with Zerobus Ingest
Beusa Energy
Beusa Energy, a 30-year energy sector company spanning electric hydraulic fracturing, mobile power generation, electrical distribution, field gas processing and industrial manufacturing, migrated its high-frequency telemetry ingestion from a custom SQL Statement API pipeline to Databricks' Zerobus Ingest direct-write API. The migration required only swapping the write path (same .NET worker, same MQTT subscriptions), cutting ingestion cost from roughly 689 DBU per GB to about 0.29 DBU per GB, a 99% cost reduction, while eliminating the need for a separate streaming broker tier. Today more than 6,000 devices stream telemetry at 1 Hz across about 250 remote assets, ingesting ~22 million rows daily into a unified lakehouse with end-to-end latency of about three seconds, governed by Unity Catalog. Beusa is now using this high-frequency telemetry, combined with maintenance history, to train predictive-maintenance models forecasting remaining useful life of assets, moving from condition-based to predictive and eventually prescriptive maintenance.
Lippert Improves Customer Support with GenAI
Lippert
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.
DXC Technology cuts platform TCO 30% and builds 11 AI agents using Databricks Data + AI Platform
DXC Technology
DXC Technology, a global IT services company with fragmented systems from years of mergers, used the Databricks Data + AI Platform (Delta Lake, Unity Catalog, MLflow 3.0, and the Genie conversational assistant) to unify data across sales, HR, finance and project management. DXC built 11 AI agents (3 in production, 8 in pilot or development), reduced time-to-insight from months to days, and validated a 30% reduction in platform total cost of ownership.