List of Cloudera Manager Customers
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Since 2010, our global team of researchers has been studying Cloudera Manager 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 Cloudera Manager for ML and Data Science Platforms 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 Cloudera Manager for ML and Data Science Platforms include: United Overseas Bank, a Singapore based Banking and Financial Services organisation with 32338 employees and revenues of $10.34 billion, Oracle Cerner, a United States based Professional Services organisation with 28000 employees and revenues of $5.50 billion, Vodafone Idea (Vi), a India based Communications organisation with 9670 employees and revenues of $5.03 billion and many others.
Contact us if you need a completed and verified list of companies using Cloudera Manager, 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.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Oracle Cerner | Professional Services | 28000 | $5.5B | United States | Cloudera | Cloudera Manager | ML and Data Science Platforms | 2015 | n/a |
In 2015, Oracle Cerner implemented Cloudera Manager as part of a Cloudera Enterprise Data Hub to consolidate EMRs, HL7 feeds, claims and other clinical data. The deployment targeted ML and Data Science Platforms workstreams, enabling predictive analytics and population-health use cases within Cerner’s healthcare operations in the United States.
Cloudera Manager was used to manage multiple clusters and provide a holistic operational view of the environment, centralizing cluster provisioning, configuration management, and service health monitoring. The implementation aligned platform operations with data science workflows, supporting pipeline orchestration, job scheduling, and resource allocation typical of ML and Data Science Platforms.
Data ingestion and normalization integrated electronic medical records, HL7 streams, and claims feeds into the enterprise data hub, feeding downstream analytical pipelines for predictive models. Those pipelines supported population-health analytics and clinical predictive use cases, including improved predictions for sepsis detection as part of Cerner’s clinical analytics function.
Governance focused on centralized cluster management using Cloudera Manager to standardize operational monitoring and platform controls across clusters, with role based access controls and operational visibility inferred as standard controls for multi cluster deployments. Cloudera Manager is cited explicitly as the tool Cerner used to manage multiple clusters and maintain a unified operational view to support ongoing ML and Data Science Platforms and population-health analytics.
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United Overseas Bank | Banking and Financial Services | 32338 | $10.3B | Singapore | Cloudera | Cloudera Manager | ML and Data Science Platforms | 2018 | n/a |
In 2018, United Overseas Bank deployed Cloudera Manager as part of a Cloudera-based enterprise data platform to establish ML and Data Science Platforms capabilities. The rollout incorporated Cloudera Machine Learning to centralize model development and operationalization across the bank's analytics footprint in Singapore.
Cloudera Manager served as the centralized cluster administration layer, providing configuration, monitoring, and lifecycle management for Hadoop ecosystem services. Cloudera Machine Learning provided model training, experiment management, and deployment pipelines, enabling repeatable model lifecycle workflows within the ML and Data Science Platforms implementation.
The platform supported concrete banking use cases, including AML and fraud detection, personalized offers, and operational forecasting for finance and risk teams in Singapore. These capabilities were applied to production surveillance and decisioning workflows, and contributed to operational improvements including ATM availability enhancements.
Cloudera Manager and Cloudera's ML tooling are listed in Cloudera customer materials as core elements of United Overseas Bank's platform, supporting centralized cluster and ML operations. The implementation is reported to have reduced AML false positives by approximately 40 percent and to have driven improvements in ATM availability.
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Vodafone Idea (Vi) | Communications | 9670 | $5.0B | India | Cloudera | Cloudera Manager | ML and Data Science Platforms | 2023 | n/a |
In 2023 Vodafone Idea (Vi) deployed Cloudera Manager as the operational control plane for a Cloudera on premises data lakehouse consolidation, centralizing multiple legacy data lakes to support telecommunications analytics and future ML and AI services. The implementation is categorized under ML and Data Science Platforms and positions Cloudera Manager as the cluster orchestration and lifecycle management layer for the environment.
Cloudera Manager was implemented to provide cluster provisioning, configuration management, and operational monitoring, working alongside Cloudera Observability to deliver telemetry and health diagnostics. The deployment architecture emphasized a unified on premises data lakehouse capable of hosting large scale analytic workloads, with Cloudera Manager providing role based configuration, package management, and routine operational automation consistent with enterprise Cloudera operations.
Operational scope covered Vodafone Idea analytics and data science teams in the telecommunications business in India, supporting both current telecom analytics workloads and a roadmap for ML and AI services. The project included a 12 PB data migration executed with a single 36 hour cutover, demonstrating a coordinated rollout and cutover orchestration across storage and compute clusters.
Governance and operational outcomes were tracked through the Cloudera operational stack, and the consolidation delivered explicit operational outcomes reported by the customer, including reduced costs and fewer support tickets. The narrative aligns the Cloudera Manager deployment, the Cloudera on premises data lakehouse, and Cloudera Observability as an integrated platform for ML and Data Science Platforms workloads at Vodafone Idea (Vi).
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