List of Cloudera Arcadia Enterprise Customers
Palo Alto, 94306, CA,
United States
Since 2010, our global team of researchers has been studying Cloudera Arcadia Enterprise 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 Arcadia Enterprise for Analytics and BI 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 Arcadia Enterprise for Analytics and BI include: Royal Bank of Canada, a Canada based Banking and Financial Services organisation with 96628 employees and revenues of $48.64 billion, Leidos, a United States based Aerospace and Defense organisation with 47000 employees and revenues of $16.66 billion, Fintonic, a Spain based Banking and Financial Services organisation with 200 employees and revenues of $20.0 million and many others.
Contact us if you need a completed and verified list of companies using Cloudera Arcadia Enterprise, 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 Analytics and BI software purchases.
The Cloudera Arcadia Enterprise 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 Analytics and BI 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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Fintonic | Banking and Financial Services | 200 | $20M | Spain | Cloudera | Cloudera Arcadia Enterprise | Analytics and BI | 2018 | n/a |
In 2018, Fintonic implemented Cloudera Arcadia Enterprise to support its big data architecture management. The implementation targeted Analytics and BI workflows, centralizing interactive visualization and SQL-on-Hadoop exploration for data teams. The deployment was based on a Cloudera distribution running on AWS EC2 instances with CentOS.
Cloudera Arcadia Enterprise operated alongside core platform components HDFS, YARN, Spark, Impala, Hive, Zookeeper, Kafka, HUE, and Trifacta, enabling a pipeline that combined batch storage, distributed compute, streaming ingestion and visual analytics. Arcadia provided interactive dashboarding and fast SQL query integration with Impala and Hive, while Spark and Trifacta supported ETL and data preparation flows. Operational scope emphasized data engineering and analytics functions, with architecture management focused on cluster services and resource orchestration. Governance centered on platform-level control of compute and storage components, and standardized analytics workflows were enforced through the shared Cloudera toolset.
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Leidos | Aerospace and Defense | 47000 | $16.7B | United States | Cloudera | Cloudera Arcadia Enterprise | Analytics and BI | 2018 | n/a |
In 2018, Leidos deployed Cloudera Arcadia Enterprise to support Analytics and BI for medical events reporting and analytics. The engagement centered on building a reporting and analytics data pipeline for medical events, with Cloudera Arcadia Enterprise serving as the dashboard and analytics layer for event-level visualization and investigation.
The implementation used AWS EMR as the execution fabric, ingesting raw event files from AWS S3 and executing event transformations with Apache Spark. Transformed results were persisted into Apache Hive as the analytical store, and Cloudera Arcadia Enterprise dashboards and analytics software consumed Hive as the primary query and visualization source.
Functional capabilities implemented included event ingestion, Spark-based transformation logic, Hive-based data modeling and storage, and Arcadia Enterprise dashboarding for reporting and exploratory analysis. The solution organized data flows into an ETL pipeline pattern, with Spark jobs codifying transformation rules and Hive tables providing a canonical analytical layer for downstream dashboards.
Governance and operational workflow changes focused on centralizing medical event reporting through the Arcadia Enterprise dashboards and standardizing transformation logic in Spark and Hive to ensure consistent analytics outputs. The design documented data lineage from S3 ingestion through Spark transformations to Hive persistence, enabling predictable report generation within Cloudera Arcadia Enterprise.
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Royal Bank of Canada | Banking and Financial Services | 96628 | $48.6B | Canada | Cloudera | Cloudera Arcadia Enterprise | Analytics and BI | 2016 | n/a |
In 2016, Royal Bank of Canada deployed Cloudera Arcadia Enterprise on a secured Hortonworks HDP cluster to support Analytics and BI. The rollout established a centralized analytics platform to serve enterprise analytics and data teams across RBC.
Cloudera Arcadia Enterprise was configured to deliver interactive visualization, SQL on Hadoop query access, and dashboarding capabilities across Hadoop datasets. The implementation emphasized secure HDP configuration with Kerberos for strong authentication and LDAP for centralized identity and role based mapping, and cluster services were organized to separate compute and storage responsibilities within the HDP architecture. Arcadia Enterprise service configuration and user access settings were documented to align with enterprise security policies.
Automation and operations were addressed with Ansible to automate cluster provisioning, configuration management, and repeatable deployments of Arcadia components. Service availability and dependency monitoring were instrumented with Sensu checks to track Arcadia service health and Hadoop service dependencies. Governance focused on LDAP and Kerberos integration for centralized authentication and access control, and operational workflows were adapted to incorporate automated provisioning and Sensu based monitoring.
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