List of Amazon S3 Glacier Customers
Amazon Web Services (AWS)
410 Terry Avenue North,
Seattle, 98109-5210, WA,
United States
Seattle, 98109-5210, WA,
United States
1 206-266-1000
Professional Services
135000
$128.7B
Since 2010, our global team of researchers has been studying Amazon S3 Glacier 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 Amazon S3 Glacier for Archive as a Service (AaaS) 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 Amazon S3 Glacier for Archive as a Service (AaaS) include: PNC Bank, a United States based Banking and Financial Services organisation with 53859 employees and revenues of $20.81 billion, Raymond James & Associates, a United States based Banking and Financial Services organisation with 19000 employees and revenues of $12.64 billion, Nasdaq, a United States based Banking and Financial Services organisation with 9162 employees and revenues of $4.65 billion, AltaMed, a United States based Healthcare organisation with 5700 employees and revenues of $1.80 billion, BHG Financial, a United States based Banking and Financial Services organisation with 1500 employees and revenues of $920.0 million and many others.
Contact us if you need a completed and verified list of companies using Amazon S3 Glacier, 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 Amazon S3 Glacier 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 |
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Abacus Property Group | Construction and Real Estate | 738 | $184M | Australia | Amazon Web Services (AWS) | Amazon S3 Glacier | Archive as a Service (AaaS) | 2013 | n/a |
In 2013 Abacus Property Group implemented Amazon S3 Glacier as part of its long term backup and archival strategy, Apps Category . The implementation was driven by in-house system administrators who managed end to end site IT infrastructure including secondary locations and disaster recovery and who scoped AWS services as part of broader infrastructure planning.
Amazon S3 Glacier was configured to serve archival storage for on-premises backups, with configuration of vaults and lifecycle policies to transition data to cold storage. The deployment aligned with existing backup tooling managed by the IT team, including Veeam Backup and Replication and Symantec Backup Exec, with Glacier used for long duration retention and archival of snapshots created from on-prem SAN and Synology NAS storage.
Integrations focused on moving archival copies from Synology NAS Storage to Amazon S3 Glacier, alongside existing backup workflows and replication processes. The solution was scoped to support disaster recovery planning and secondary site retention, and administration included management of AWS scoping, backup schedules, and restore procedures documented by system administrators.
Governance and operational changes were driven by internal IT processes, with responsibilities covering technical documentation, disaster recovery management, vendor management, and budgeting. Ongoing management activities included lifecycle policy adjustments, retrieval process definition, and coordination between on-premises backup systems and Amazon S3 Glacier for archive retention and restore orchestration.
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Air Bud Entertainment | Media | 50 | $5M | United States | Amazon Web Services (AWS) | Amazon S3 Glacier | Archive as a Service (AaaS) | 2015 | n/a |
In 2015, Air Bud Entertainment implemented Amazon S3 Glacier in the Apps Category to provide automated long-term retention for its film archive. Air Bud Entertainment is the creator of the Air Bud and Air Buddies franchises and consolidated archival tooling to support its media library of approximately 90 terabytes across 20 films.
The deployment integrated Cohesity as the on-premises backup and archival orchestrator, using Cohesity CloudArchive to define policy-driven tiering and automated archival to Amazon S3 Glacier. Amazon S3 Glacier was used as the long-term storage target, while Cohesity handled snapshotting, global deduplication, and policy-based job scheduling to move indexed backup sets to Glacier for retention.
Operationally the configuration covered media asset backup and archive workflows within the company IT function, replacing prior tape-based retention by establishing automated archival pipelines from Cohesity to Amazon S3 Glacier. The implementation emphasized retention policy configuration, cataloging of film assets for restoreability, and the orchestration of archival lifecycle steps between on-premises Cohesity and Amazon S3 Glacier storage.
Governance and runbook changes focused on policy-driven archival scheduling and verification, with Cohesity CloudArchive enforcing retention SLAs and Amazon S3 Glacier serving as the immutable long-term store. Reported outcomes in the deployment included reduced backup times to roughly 30 minutes, the elimination of tape media from the retention process, and accelerated archival operations through the combined Cohesity and Amazon Web Services architecture.
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AltaMed | Healthcare | 5700 | $1.8B | United States | Amazon Web Services (AWS) | Amazon S3 Glacier | Archive as a Service (AaaS) | 2021 | n/a |
In 2021 AltaMed implemented Amazon S3 Glacier as part of an Archive as a Service (AaaS) strategy to centralize long term retention and compliance storage for enterprise data. The deployment was built into an AWS data ecosystem that included Amazon S3 for active object storage, EC2 compute, and RDS relational databases, with a focused operational ownership under the Data Services team led by a Senior Manager of Data Services and a five person DBA staff.
The implementation consolidated Python based ETL and ELT pipelines that were redesigned to systematically archive historical data to Amazon S3 Glacier, while leveraging S3 storage tiering policies including Intelligent-Tiering and Glacier for automated lifecycle management. Configuration emphasized encryption at rest and in transit, comprehensive audit logging, and compliance controls aligned with SOC2 and HIPAA requirements, with the Amazon S3 Glacier component explicitly providing long term, low cost archival storage.
Integrations were realized through the existing AWS stack, with ETL workflows pulling from RDS and staging on S3 buckets before archival to Amazon S3 Glacier, and compute orchestration on EC2 for pipeline processing. Source control and deploy pipelines were enforced via TFS and Git, with automated testing frameworks applied to ETL code and pipeline definitions to ensure repeatable deployments to storage and compute layers.
Governance changes included mandatory peer code reviews, automated test gates before production deployment, and formalized reliability and recovery plans to manage archival retrieval and retention lifecycles. These process controls reduced production issues and codified compliance handling for archived datasets used in long term analytics and regulatory requests.
Outcomes reported by AltaMed included a 70 percent reduction in production data volume through systematic archiving to Amazon S3 Glacier, an estimated 50 percent reduction in operational costs attributed to the archiving architecture, and a broader 55 percent reduction in monthly AWS spend after combined cost optimization measures such as instance rightsizing and storage tiering. Additional operational improvements included markedly faster ETL processing and an 80 percent reduction in production issues following the introduction of automated testing and mandatory peer reviews.
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BHG Financial | Banking and Financial Services | 1500 | $920M | United States | Amazon Web Services (AWS) | Amazon S3 Glacier | Archive as a Service (AaaS) | 2019 | n/a |
In 2019, BHG Financial implemented Amazon S3 Glacier, a Cloud Storage solution, to centralize archival file storage and backups that supported data science, analytics, and ETL workflows. The implementation includes creation and lifecycle management of S3 buckets with Glacier as the archival tier, and explicit configuration of IAM roles and bucket policies to control access to archived objects. Amazon S3 Glacier is referenced in operational documentation and was provisioned alongside active S3 storage for tiered retention of media and backup artifacts.
The deployment architecture leveraged AWS platform services described in the project environment, with Java code using the AWS SDK to access S3 media files and Elastic Beanstalk used for rapid provisioning of EC2 instances, load balancer configuration, and RDS databases. Amazon Simple Workflow service was used to automate data migration processes and to track migration steps, with logs persisted to S3 buckets, and DynamoDB was used to store metrics and backend reporting data. ETL and data integration work streamed archived outputs into downstream reporting, with SSIS packages, SSRS and SSAS referenced as part of the data pipeline and warehouse ingestion processes.
Governance and operational controls focused on role-based access to S3 and Glacier through managed policies, and close collaboration between data scientists, database engineers, and ETL teams to ensure archival retention and retrieval processes aligned with existing data models. Data modeling artifacts and data quality efforts informed which datasets were designated for Glacier archival, and workflows were instrumented to maintain audit trails in S3. The implementation positioned Amazon S3 Glacier as the archival layer in BHG Financials Cloud Storage estate supporting analytics, reporting and backup workflows.
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CK Birla Hospitals | Healthcare | 2000 | $300M | India | Amazon Web Services (AWS) | Amazon S3 Glacier | Archive as a Service (AaaS) | 2022 | n/a |
In 2022, CK Birla Hospitals deployed Amazon S3 Glacier as part of an Archive as a Service (AaaS) strategy on Amazon Web Services to formalize long term retention for SAP transactional and analytical datasets. The deployment was situated within a broader SAP on AWS migration and provisioning effort that consolidated data access across multiple hospital locations, enabling centralized archival while preserving on demand retrieval for clinical and operational reporting.
The implementation architecture combined Amazon S3 for active object storage with Amazon S3 Glacier for cold archive, and leveraged Amazon EBS for block storage attached to SAP application tiers. Automation was introduced through AWS Lambda to orchestrate lifecycle transitions and ingestion workflows, while Amazon CloudWatch provided monitoring and alerting for archive jobs and storage health. Amazon S3 Glacier served as the designated long term store for tape replacement and regulatory retention workloads, with lifecycle policies and programmatic retrieval integrated into operational runbooks.
Functionally the Archive as a Service (AaaS) deployment implemented automated lifecycle management, policy based retention, queued retrieval processes, and event driven archival triggers consistent with healthcare data governance. The solution supported SAP backup and recovery patterns and was operated alongside SAP high availability and disaster recovery architectures hosted on AWS, ensuring archived copies were part of the overall continuity and compliance strategy.
Governance and operational changes were led through vendor assisted architecture planning, with AeonX providing SAP and AWS design guidance, architectural diagrams, and oversight to reduce manual tasks through automation. The archival rollout was tied to broader IT simplification, improved user access to historical data for analytics, and operational monitoring. CK Birla Hospitals reported outcomes explicitly tied to the AWS migration including 40% year over year growth and a 17% expense reduction since moving SAP workloads to AWS, while Amazon S3 Glacier provided the cold storage layer that enabled lower ongoing storage costs and durable retention for the health system.
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Media | 130 | $50M | United States | Amazon Web Services (AWS) | Amazon S3 Glacier | Archive as a Service (AaaS) | 2018 | n/a |
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Distribution | 300 | $120M | United States | Amazon Web Services (AWS) | Amazon S3 Glacier | Archive as a Service (AaaS) | 2019 | n/a |
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Professional Services | 600 | $65M | United States | Amazon Web Services (AWS) | Amazon S3 Glacier | Archive as a Service (AaaS) | 2018 | n/a |
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Professional Services | 950 | $215M | United States | Amazon Web Services (AWS) | Amazon S3 Glacier | Archive as a Service (AaaS) | 2016 | n/a |
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Banking and Financial Services | 1700 | $900M | United States | Amazon Web Services (AWS) | Amazon S3 Glacier | Archive as a Service (AaaS) | 2020 | n/a |
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Showing 1 to 10 of 13 entries
Buyer Intent: Companies Evaluating Amazon S3 Glacier
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Amazon S3 Glacier. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Amazon S3 Glacier for Archive as a Service (AaaS) include:
- Hecht Kugellager, a Germany based Distribution organization with 28 Employees
- Insight Enterprises, a United States based Professional Services company with 14324 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated |
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Hecht Kugellager | Distribution | 28 | $8M | Germany | 2025-12-28 |
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Insight Enterprises | Professional Services | 14324 | $8.7B | United States | 2025-02-19 |
FAQ - APPS RUN THE WORLD Amazon S3 Glacier Coverage
Amazon S3 Glacier is a Archive as a Service (AaaS) solution from Amazon Web Services (AWS).
Companies worldwide use Amazon S3 Glacier, from small firms to large enterprises across 21+ industries.
Organizations such as PNC Bank, Raymond James & Associates, Nasdaq, AltaMed and BHG Financial are recorded users of
Amazon S3 Glacier for Archive as a Service (AaaS).
Companies using Amazon S3 Glacier are most concentrated in Banking and Financial Services and Healthcare, with adoption spanning over 21 industries.
Companies using Amazon S3 Glacier are most concentrated in United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Amazon S3 Glacier across Americas, EMEA, and APAC.
Companies using Amazon S3 Glacier range from small businesses with 0-100 employees - 7.69%, to mid-sized firms with 101-1,000 employees - 38.46%, large organizations with 1,001-10,000 employees - 38.46%, and global enterprises with 10,000+ employees - 15.38%.
Customers of Amazon S3 Glacier 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 Amazon S3 Glacier customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Archive as a Service (AaaS).