List of Databricks Unity Catalog Customers
databricks
160 Spear Street, 15th Floor San Francisco, CA 94105 1-866-330-0121,
San Francisco, 94105, CA,
United States
San Francisco, 94105, CA,
United States
1 866-330-0121
Professional Services
5500
$1.6B
Since 2010, our global team of researchers has been studying Databricks Unity Catalog customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Databricks Unity Catalog for AI Model Deployment and Monitoring from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Databricks Unity Catalog for AI Model Deployment and Monitoring include: PepsiCo, a United States based Consumer Packaged Goods organisation with 319000 employees and revenues of $91.85 billion, Amgen, a United States based Life Sciences organisation with 28000 employees and revenues of $33.42 billion, Italgas, a Italy based Utilities organisation with 4295 employees and revenues of $2.87 billion and many others.
Contact us if you need a completed and verified list of companies using Databricks Unity Catalog, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Databricks Unity Catalog customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight | Insight Source |
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Amgen | Life Sciences | 28000 | $33.4B | United States | Databricks | Databricks Unity Catalog | AI Model Deployment and Monitoring | 2024 | n/a | In 2024, Amgen implemented Databricks Unity Catalog to standardize governance for structured and multimodal research and sensitive enterprise datasets. Databricks Unity Catalog is being used as a central governance layer in the context of AI Model Deployment and Monitoring to simplify access control and cut audit effort significantly across the organization. Databricks Unity Catalog was deployed as a centralized metadata and policy plane, cataloging tables, file-based assets, and multimodal research artifacts while enforcing unified access policies. The implementation extended catalog capabilities to support model lifecycle governance and monitoring for GenAI and ML initiatives, providing lineage and auditability tied to model artifacts and training datasets. Operational coverage includes R&D and enterprise functions, explicitly incorporating Finance workflows and Workday data into the governed catalog to treat those sensitive datasets consistently with research data. Integrations focused on attaching lineage and access policies to dataset and model artifacts so that model development, validation, and deployment traces are anchored to governed assets within Databricks Unity Catalog. Governance and process changes centralized policy ownership and data stewardship, standardizing role based access control, policy enforcement, and dataset tagging to reduce manual approvals and audit overhead. The implementation emphasizes lifecycle visibility for GenAI projects and improved auditability, while simplifying crossfunctional access controls between research teams and enterprise stakeholders. | |
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Italgas | Utilities | 4295 | $2.9B | Italy | Databricks | Databricks Unity Catalog | AI Model Deployment and Monitoring | 2023 | n/a | In 2023 Italgas implemented Databricks Unity Catalog to centralize governance across its lakehouse for analytics and AI. The Databricks Unity Catalog deployment is categorized as AI Model Deployment and Monitoring and was applied in the utilities context to provide unified metadata management, access controls, and model lifecycle visibility for analytics and operational ML workloads. The initiative is described as supporting ML and AI driven operational use cases including real time monitoring, control room queries and model backed analytics. The deployment ties governance and model serving into the company data fabric rather than leaving models and data artifacts unmanaged. Databricks Unity Catalog was configured to govern 100 percent of workloads across the lakehouse and to surface model lifecycle and serving capabilities as part of broader AI and BI adoption. The implementation enabled governed self service for analytics, and the organization reported that roughly 80 percent of employees gained self service BI capabilities through cataloged data and governed model endpoints. Configuration emphasis was on catalog driven data discovery, fine grained access controls, and registration of model artifacts to support reproducible deployment and serving patterns. Operational coverage focuses on analytics and operational functions within the utilities domain, with model backed analytics feeding control room decisioning and real time monitoring pipelines. The catalog sits within the Databricks lakehouse architecture and interoperates with the company analytics and operational stacks to ensure cataloged datasets and models are discoverable and governed for both BI users and ML engineers. Model lifecycle management and serving are presented as integrated elements of the AI BI adoption documented in the case study. Governance and process changes centralized policy enforcement and catalog led discovery to reduce fragmentation between analytics and operations teams, and to standardize model registration and access. Outcomes reported in the source material include an approximate 70 percent reduction in platform costs and the extension of self service BI to about 80 percent of employees while maintaining governance over 100 percent of workloads. These results framed the Databricks Unity Catalog deployment as a governance centric rollout supporting continued operationalization of ML and analytics. | |
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PepsiCo | Consumer Packaged Goods | 319000 | $91.9B | United States | Databricks | Databricks Unity Catalog | AI Model Deployment and Monitoring | 2023 | n/a | In 2023, PepsiCo implemented Databricks Unity Catalog as a core part of its global Data Foundation. The deployment consolidated over 6PB of data and introduced unified discovery, lineage, monitoring and granular access controls across the enterprise. PepsiCo configured Databricks Unity Catalog to provide cataloging, metadata management, policy based access controls and lineage instrumentation for data and AI assets, and to register and govern models in support of model deployment and monitoring. The implementation explicitly shortened onboarding times by approximately 30 percent while enabling unified discovery and monitoring across BI and AI applications. Databricks Unity Catalog is used to surface governed datasets and AI artifacts to analytics, data engineering and ML teams, providing a single metadata layer for BI and AI applications within PepsiCo’s global Data Foundation. This arrangement supports AI Model Deployment and Monitoring workflows by consolidating model and data governance, and by exposing lineage and access controls to downstream analytics and operational consumers. Governance was centralized, with standardized policies for access and lineage reporting to improve oversight of data and AI assets. The documented outcomes include the consolidation of over 6PB of data and reduced onboarding times by around 30 percent, with broad governance and monitoring applied across BI and AI use cases. |
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Buyer Intent: Companies Evaluating Databricks Unity Catalog
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Databricks Unity Catalog. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Databricks Unity Catalog for AI Model Deployment and Monitoring include:
- Sync Computing, a United States based Professional Services organization with 20 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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FAQ - APPS RUN THE WORLD Databricks Unity Catalog Coverage
Databricks Unity Catalog is a AI Model Deployment and Monitoring solution from Databricks.
Companies worldwide use Databricks Unity Catalog, from small firms to large enterprises across 21+ industries.
Organizations such as PepsiCo, Amgen and Italgas are recorded users of
Databricks Unity Catalog for AI Model Deployment and Monitoring.
Companies using Databricks Unity Catalog are most concentrated in Consumer Packaged Goods, Life Sciences and Utilities, with adoption spanning over 21 industries.
Companies using Databricks Unity Catalog are most concentrated in United States and Italy, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Databricks Unity Catalog across Americas, EMEA, and APAC.
Companies using Databricks Unity Catalog range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 33.33%, and global enterprises with 10,000+ employees - 66.67%.
Customers of Databricks Unity Catalog include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified Databricks Unity Catalog customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of AI Model Deployment and Monitoring.