List of Oracle Cloud Infrastructure Object Storage Customers
Oracle
2300 Oracle Way,
Austin, 78741, TX,
United States
Austin, 78741, TX,
United States
1 737-867-1000
Professional Services
162000
$67.1B
Since 2010, our global team of researchers has been studying Oracle Cloud Infrastructure Object Storage 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 Oracle Cloud Infrastructure Object Storage for Cloud Storage 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 Oracle Cloud Infrastructure Object Storage for Cloud Storage include: Experian, a Ireland based Professional Services organisation with 22500 employees and revenues of $7.51 billion, Qti.ai, a United States based Professional Services organisation with 2000 employees and revenues of $340.0 million, Seattle Sounders FC, a United States based Leisure and Hospitality organisation with 300 employees and revenues of $75.0 million, Children's Medical Research Institute, a Australia based Life Sciences organisation with 300 employees and revenues of $27.0 million, LogicManager, a United States based Professional Services organisation with 100 employees and revenues of $10.0 million and many others.
Contact us if you need a completed and verified list of companies using Oracle Cloud Infrastructure Object Storage, 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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Children's Medical Research Institute | Life Sciences | 300 | $27M | Australia | Oracle | Oracle Cloud Infrastructure Object Storage | Cloud Storage | 2022 | n/a |
In 2022, Children's Medical Research Institute implemented Oracle Cloud Infrastructure Object Storage as part of a broader adoption of Oracle Cloud and Oracle AI to address large scale genomics, proteomics, high resolution microscopy images, and numerical simulations. The implementation targeted the Cloud Storage need to securely hold multiple terabytes of scientific data in native formats while enabling faster access for research workflows and collaborative analysis across distributed teams.
Oracle Cloud Infrastructure Object Storage was deployed alongside OCI Data Science and other Oracle Cloud services to consolidate data sources for analytics, backup, and archive purposes. The deployment used object storage redundancy and scalable capacity to ingest outputs from high throughput NGS technologies, microscope image pipelines, and simulation artifacts, while provisioning fast CPU and GPU compute for model training and numerical workloads.
The technical solution integrated OCI Data Science as the managed machine learning service to provide collaborative, project driven workspaces, Conda environments, and access to open source libraries and tools for data scientists. Operational coverage included researchers, data scientists, and operations teams working across locations, replacing a setup where one local on premises server required resource sharing and external logins that slowed analysis.
Governance and workflow changes emphasized making research data shareable, customizable, and reusable, with object storage used as the canonical data lake for model inputs and outputs. The cloud configuration enabled near instantaneous infrastructure provisioning and dynamic scale up and down of compute resources, supporting an end to end model lifecycle approach and reuse of models among teams.
CMRI reported explicit outcomes from the Oracle Cloud implementation, stating that numerical simulation time was reduced from 30 days to five using OCI Data Science, resource efficiency improved by about 30 to 50 percent, and cloud costs were approximately 30 percent lower. CMRI noted that Oracle provided the artificial intelligence and computation platform needed to advance research to cure children’s cancer, and acknowledged Prachi Solomon, Principal Solution Engineer at Oracle, for contributions.
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Experian | Professional Services | 22500 | $7.5B | Ireland | Oracle | Oracle Cloud Infrastructure Object Storage | Cloud Storage | 2020 | Baker Tilly Advisory Group |
In 2020, Experian implemented Oracle Cloud Infrastructure Object Storage as part of a broader Oracle Cloud Infrastructure lakehouse deployment to centralize critical data and analytics. The deployment targeted high-throughput data workloads and was built to deliver Cloud Storage at scale while supporting mixed analytic patterns for real-time and batch processing.
The implementation incorporated Oracle Exadata Cloud Service, Oracle Autonomous Data Warehouse, Oracle Cloud Infrastructure Object Storage, Big Data Service, Data Flow, Data Science, and OCI Functions to create an end-to-end lakehouse architecture. Oracle Cloud Infrastructure Object Storage served as the Cloud Storage layer for landing, long term retention, and fast access to large datasets, while OCI Functions handled event-driven data processing and Data Flow supported open source Spark workloads.
Experian unified data from on-premises data centers, co-location facilities, and other cloud providers onto the single OCI lakehouse, migrating open source Spark and Hadoop workloads without re-engineering. Operational coverage included workloads for fraud detection, call center analytics, financial analytics, and credit data processing in Brazil, with the unified global platform intended to extend similar capabilities to emerging markets such as Brazil and India. Implementation support came from Baker Tilly Advisory Group and Oracle Cloud Lift Services, which provided planning, architecture, and prototyping guidance.
The rollout emphasized a unified data platform and governance for analytics pipelines and secure processing across global regions, with Oracle Cloud Infrastructure Object Storage delivering the Cloud Storage foundation. Experian reported a 40% increase in performance, a 60% reduction in costs, and improved reliability and resilience as explicit results of the OCI lakehouse migration.
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Kuano | Professional Services | 20 | $1M | United Kingdom | Oracle | Oracle Cloud Infrastructure Object Storage | Cloud Storage | 2024 | n/a |
Kuano implemented Oracle Cloud Infrastructure Object Storage in 2024 to underpin a drug design platform that combines biomolecular simulation and AI. The deployment of Oracle Cloud Infrastructure Object Storage serves as the primary Cloud Storage layer for the startup’s computational workflows, enabling persistent storage for large simulation output sets, candidate compound libraries, and AI model artifacts.
Oracle Cloud Infrastructure Object Storage was configured to support high throughput data ingress and efficient transfer of enormous libraries and models into AI pipelines, enabling rapid orchestration of large sets of simulations and screening jobs on OCI compute. Functional capabilities implemented include scalable object storage for ephemeral and archival datasets, organized data staging for screening workflows, and storage access patterns tuned for model training and inference at scale.
Operational coverage is focused on Kuano’s UK based computational research and AI teams, supporting drug discovery, computational chemistry, and model development activities across the company’s drug design platform. The implementation ties storage directly into biomolecular simulation and AI-driven screening pipelines, allowing researchers to iterate on transition state identification and compound generation within a cloud native workflow.
Governance and process changes centralized data handling on OCI and shifted workload execution to cloud orchestration, reducing the need for on-premises capital investment. Oracle Cloud Infrastructure provided a scalable cloud solution without the large upfront cost of on-premises computing, and Kuano reports that the configuration allowed them to rapidly deploy simulations and efficiently screen large candidate sets, accelerating target exploration and compound discovery. As David Wright, CTO and Founder, stated, "Oracle has been vital to the success of our large-scale simulation and screening strategy, giving us the ability to rapidly deploy large sets of simulations to identify transition states, then efficiently screen against large libraries of candidate compounds or generate them using AI models."
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LogicManager | Professional Services | 100 | $10M | United States | Oracle | Oracle Cloud Infrastructure Object Storage | Cloud Storage | 2022 | n/a |
In 2022, LogicManager deployed Oracle Cloud Infrastructure Object Storage as part of a broader rollout of its cloud native enterprise risk management platform on Oracle Cloud Infrastructure. Oracle Cloud Infrastructure Object Storage provides the Cloud Storage tier used for backups, cross region replication, and durable object storage to support LogicManager's regulated customer base across multiple geographies.
LogicManager configured a multi region architecture using primary OCI regions in the United States, Europe, and Asia Pacific with paired secondary regions for disaster recovery replication. Oracle Autonomous Transaction Processing ATP 19c instances are backed up to Oracle Cloud Infrastructure Object Storage using data pump, while object and block volume storage are replicated from primary to secondary regions. Database links between ATP instances maintain a single source of truth for metadata that drives ERM services, and compute sizing uses large shapes ranging from 16 to 24 OCPUs with 128 to 256 GB of memory to handle performance sensitive workloads.
The deployment uses remote VCN peering to enable centralized management of distributed deployments, and customer traffic is fronted by Oracle Cloud Infrastructure Web Application Firewall followed by a load balancer that only accepts traffic from the WAF. Security operations are layered with Cloud Guard and Oracle Cloud Infrastructure Vulnerability Scanning Service, and Oracle Cloud Infrastructure Logging ingests reporting outputs for anomaly detection with alarms driven by built in and custom metrics. LogicManager runs containerized application services using Docker, separates the reports portal into its own compute instance, and uses OpenVPN Access Server for administrator SSH access to private compute and ATP instances.
Operational integrations include Oracle Cloud Infrastructure Data Science for on demand machine learning model development, Oracle Cloud Infrastructure Application Performance Monitoring for performance telemetry, and Oracle Cloud Infrastructure Email Delivery embedded in ERM workflows to notify users of contract and policy tasks. The implementation exposes APIs for multicloud integration that interoperate with third party risk and compliance tools such as RiskRecon, SecurityScorecard, ComplianceAi, and Microsoft Office. Key documented advantages are multiregion deployment to meet data sovereignty requirements, APIs for multicloud application integration, managed services handling dynamic and performance sensitive workloads, Data Science for ML model deployment, and a security stack composed of WAF, load balancing, Cloud Guard, and OCI Logging to manage security and availability.
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Qti.ai | Professional Services | 2000 | $340M | United States | Oracle | Oracle Cloud Infrastructure Object Storage | Cloud Storage | 2023 | n/a |
In 2023, Qti.ai implemented Oracle Cloud Infrastructure Object Storage as Cloud Storage to consolidate image assets and evidentiary data for its brand protection platform. The deployment supported Qti.ai’s workflows for detecting infringements, documenting and preserving evidence, and removing unauthorized product images across e-commerce platforms.
The implementation combined OCI Object Storage with OCI Data Labeling and OCI Vision to create an end-to-end image handling pipeline. Developers and data scientists used OCI Data Labeling to assemble and label training datasets through user interfaces and public APIs, then trained custom OCI Vision models to detect modified or manipulated images, including cases with cropping, color inversion, or removed watermarks.
Oracle Cloud Infrastructure Object Storage provided secure, redundant storage for raw images and labeled datasets, enabling consolidation of multiple data sources for analytics, backup, and archive use cases. The Vision models were instantiated per brand to score new images by probability of infringement, and prioritized queues fed a human review team, legal operations, and client-facing case teams focused on independent artists and designers.
Governance preserved required human confirmation for takedown actions under the Digital Millennium Copyright Act, while the automated pipeline pre-sorted and labeled suspect listings to reduce reviewer workload. With OCI Data Labeling and OCI Vision integrated into the storage layer, Qti.ai reported labeling and review at scale within hours, achieving about 5.5 times faster processing than before OCI adoption, and reallocating resources toward pursuing legal action and client engagement.
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Leisure and Hospitality | 300 | $75M | United States | Oracle | Oracle Cloud Infrastructure Object Storage | Cloud Storage | 2020 | n/a |
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FAQ - APPS RUN THE WORLD Oracle Cloud Infrastructure Object Storage Coverage
Oracle Cloud Infrastructure Object Storage is a Cloud Storage solution from Oracle.
Companies worldwide use Oracle Cloud Infrastructure Object Storage, from small firms to large enterprises across 21+ industries.
Organizations such as Experian, Qti.ai, Seattle Sounders FC, Children's Medical Research Institute and LogicManager are recorded users of
Oracle Cloud Infrastructure Object Storage for Cloud Storage.
Companies using Oracle Cloud Infrastructure Object Storage are most concentrated in Professional Services, Leisure and Hospitality and Life Sciences, with adoption spanning over 21 industries.
Companies using Oracle Cloud Infrastructure Object Storage are most concentrated in Ireland, United States and Australia, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Oracle Cloud Infrastructure Object Storage across Americas, EMEA, and APAC.
Companies using Oracle Cloud Infrastructure Object Storage range from small businesses with 0-100 employees - 33.33%, to mid-sized firms with 101-1,000 employees - 33.33%, large organizations with 1,001-10,000 employees - 16.67%, and global enterprises with 10,000+ employees - 16.67%.
Customers of Oracle Cloud Infrastructure Object Storage 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 Oracle Cloud Infrastructure Object Storage customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Cloud Storage.