List of Cloudera Enterprise Platform Customers
Palo Alto, 94306, CA,
United States
Since 2010, our global team of researchers has been studying Cloudera Enterprise Platform 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 Enterprise Platform for Data Warehouse 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 Enterprise Platform for Data Warehouse include: McKesson, a United States based Distribution organisation with 45000 employees and revenues of $359.10 billion, Costco, a United States based Retail organisation with 333000 employees and revenues of $254.45 billion, Ford Motor Company, a United States based Automotive organisation with 171000 employees and revenues of $184.99 billion, Deutsche Telekom, a Germany based Communications organisation with 201336 employees and revenues of $134.08 billion, Bank of America, a United States based Banking and Financial Services organisation with 213000 employees and revenues of $101.89 billion and many others.
Contact us if you need a completed and verified list of companies using Cloudera Enterprise Platform, 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 Machine Learning software purchases.
The Cloudera Enterprise Platform 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 Machine Learning 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 |
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8x8 | Professional Services | 1942 | $717M | United States | Cloudera | Cloudera Enterprise Platform | Data Warehouse | 2016 | n/a |
In 2016, 8x8 implemented Cloudera Enterprise Platform as a Data Warehouse to consolidate hundreds of terabytes of call data, including real-time statistics and persistent voice recordings. The deployment was designed to handle millions of new call records added daily, centralizing streaming and historical call datasets for analytics and model development.
The Cloudera Enterprise Platform was configured to support scalable ingestion pipelines and distributed storage, enabling concurrent batch processing and near real-time analytics workloads. Functional capabilities implemented include persistent voice recording retention, session and time series analytics, and an operational machine learning environment used to train and score models on live and historical call data.
Data housed in the Cloudera Enterprise Platform feeds intelligent interactive voice response, dynamic call routing, contact center analytics, and fraud detection workflows, with ML inference applied to influence live IVR and routing decisions. Operational scope centers on 8x8 contact center operations and fraud detection functions, where analytics and model outputs are consumed by operational teams.
Governance and analytics workflows were structured to support continuous model retraining and scoring, centralizing call metadata and telemetry to enable repeatable analytics processes and auditability. The implementation enabled 8x8 to apply machine learning across IVR, call routing, contact center, and fraud detection capabilities as part of its centralized Data Warehouse strategy.
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AbbVie | Life Sciences | 55000 | $56.3B | United States | Cloudera | Cloudera Enterprise Platform | Data Warehouse | 2010 | n/a |
In 2010, AbbVie implemented Cloudera Enterprise Platform as a Data Warehouse. The deployment established a centralized, distributed data platform to consolidate structured and semi structured life sciences datasets for enterprise analytics across research, clinical and commercial domains.
The Cloudera Enterprise Platform configuration emphasized distributed storage and compute, interactive and batch query processing, and ingestion pipelines to onboard clinical, research and commercial source data. Platform-level capabilities included cluster management and monitoring, metadata services, security and role based access controls, and job orchestration to operationalize ETL and analytic workflows.
The implementation was positioned to support enterprise analytics and reporting workflows and to feed downstream business intelligence and operational analytics systems. Data governance and audit logging practices were instituted to align with regulatory requirements in life sciences, and operational ownership models were organized to align data stewardship with functional teams.
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Acxiom | Professional Services | 3650 | $650M | United States | Cloudera | Cloudera Enterprise Platform | Data Warehouse | 2012 | n/a |
In 2012, Acxiom implemented Cloudera Enterprise Platform as its Data Warehouse to establish a consolidated analytical data foundation. The deployment of Cloudera Enterprise Platform positioned the application as Acxiom Data Warehouse for enterprise analytics and data management functions across the organization.
The implementation centered on distributed storage and scalable query capabilities typical of the Cloudera Enterprise Platform, including cluster-based storage, batch processing and SQL-on-Hadoop style query services. Functional modules emphasized data ingestion and ETL workflows, metadata and cataloging, role based security and audit logging, and workload management to support high concurrency analytical processing.
Operational coverage focused on Acxiom’s enterprise analytics and data management teams, enabling centralized storage and governed access to large scale datasets used for analytics and reporting. The rollout followed a phased approach to provision clusters and enforce data governance, with configuration controls for access policies, metadata stewardship, and operational monitoring.
Governance and process changes accompanied the technical deployment, introducing metadata driven data stewardship and standardized access controls to align data consumers and producers. Cloudera Enterprise Platform was documented as the company’s Data Warehouse platform to support analytics, data management and reporting workflows.
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Media | 569 | $137M | United States | Cloudera | Cloudera Enterprise Platform | Data Warehouse | 2013 | n/a |
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Utilities | 7355 | $6.3B | Brazil | Cloudera | Cloudera Enterprise Platform | Data Warehouse | 2020 | n/a |
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Manufacturing | 27900 | $14.4B | United States | Cloudera | Cloudera Enterprise Platform | Data Warehouse | 2016 | n/a |
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Professional Services | 7300 | $11.1B | United States | Cloudera | Cloudera Enterprise Platform | Data Warehouse | 2015 | n/a |
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Professional Services | 24500 | $15.0B | United States | Cloudera | Cloudera Enterprise Platform | Data Warehouse | 2016 | n/a |
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Banking and Financial Services | 10700 | $8.2B | United States | Cloudera | Cloudera Enterprise Platform | Data Warehouse | 2012 | n/a |
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Retail | 44481 | $4.8B | Brazil | Cloudera | Cloudera Enterprise Platform | Data Warehouse | 2013 | n/a |
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Buyer Intent: Companies Evaluating Cloudera Enterprise Platform
- Indigitise Australia, a Australia based Professional Services organization with 30 Employees
- Beach Point Capital Management, a United States based Professional Services company with 60 Employees
- Heritage Lock & Heritage Security United States, a United States based Professional Services organization with 25 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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