List of AWS Cloud Data Migration Customers
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Since 2010, our global team of researchers has been studying AWS Cloud Data Migration 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 AWS Cloud Data Migration for Data Migration 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 AWS Cloud Data Migration for Data Migration include: 3M, a United States based Manufacturing organisation with 61500 employees and revenues of $24.58 billion, Trellix, a United States based Professional Services organisation with 5000 employees and revenues of $2.00 billion, Firmex, a Canada based Professional Services organisation with 180 employees and revenues of $20.0 million and many others.
Contact us if you need a completed and verified list of companies using AWS Cloud Data Migration, 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 AWS Cloud Data Migration 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 | Insight Source |
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3M | Manufacturing | 61500 | $24.6B | United States | Amazon Web Services (AWS) | AWS Cloud Data Migration | Data Migration | 2020 | Amazon Web Services | In 2020, 3M executed a large-scale server and application migration to Amazon Web Services using an AWS Cloud Data Migration program in the Data Migration category. The engagement targeted relocation of 2,200 applications and multiple petabytes of data as the primary scope for cloud onboarding across the enterprise. The technical implementation leveraged AWS Application Migration Service for rehosting at scale and AWS DataSync for bulk data transfer and continuous synchronization, with explicit orchestration for SAP ERP workload cutover. AWS Cloud Data Migration delivered automated replication, scheduling, and cutover orchestration capabilities to minimize outage windows during wave-based migrations. Amazon Web Services served as the implementation partner through AWS Professional Services, planning the global program beginning in 2020 and executing migration waves over about 24 months. The operational coverage was global with US-led operations emphasis, and the workstream encompassed server estates, application portfolios, and large-scale data movement across corporate sites. Governance relied on wave planning, centralized runbooks, cutover playbooks, and coordinated orchestration managed by AWS Professional Services to align teams and rollback procedures. The program completed cutovers including SAP ERP workloads, reduced deployment time and saved millions in compute and storage costs, and delivered improved scalability and resiliency for US-led operations. | |
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Firmex | Professional Services | 180 | $20M | Canada | Amazon Web Services (AWS) | AWS Cloud Data Migration | Data Migration | 2023 | n/a | In 2023, Firmex began an 18 month AWS Cloud Data Migration to move approximately 65,000 Microsoft SQL Server databases to Amazon Aurora as a Data Migration initiative to modernize its database platform. The migration project was executed under the AWS Cloud Data Migration program using AWS Database Migration Service for continuous replication and cutover orchestration, and it completed by 2025. The implementation included a redesign to a multi-tenant database architecture to improve scalability and reduce operational overhead, with consolidation of database estates and schema rationalization to support tenant isolation and shared infrastructure. Configuration work focused on provisioned Amazon Aurora clusters, automated migration tasks in AWS Database Migration Service, and reconfiguration of connection and access patterns to support multi tenancy. Operational coverage centered on Firmex engineering and product teams, with the migration process orchestrated across application and data layers to preserve product functionality during cutover. Integrations explicitly included Amazon Aurora as the target and AWS Database Migration Service for data movement, and the project maintained production continuity while switching database endpoints to the new platform. Governance was delivered through a phased, 18 month rollout that began in 2023 and concluded in 2025, with migration sequencing and validation controls to manage database consolidation. Outcomes reported by Firmex include improved scalability, reduced operational overhead, annual licensing savings of $125,000, and engineering teams being freed to focus on product innovation. | |
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Trellix | Professional Services | 5000 | $2.0B | United States | Amazon Web Services (AWS) | AWS Cloud Data Migration | Data Migration | 2024 | n/a | In 2024, Trellix executed an AWS Cloud Data Migration using the AWS Snow Family Snowball Edge to relocate research and threat repository data as part of a planned data center exit. The Data Migration moved approximately 400 TB and more than 300 million files into Amazon S3 and S3 Glacier Deep Archive, establishing a preserved dataset intended to support future ML workloads and long term retention. The implementation used offline bulk ingest with Snowball Edge appliances to capture file system data and export it into Amazon S3, followed by lifecycle transition to S3 Glacier Deep Archive for archival preservation. AWS Cloud Data Migration configuration emphasized object landing in S3 with policies for deep archive transition, supporting research data preservation and enabling ML model training data access patterns consistent with cold storage economics. AWS supported the migration execution in the United States, and the physical appliance based approach enabled an offline transfer that completed in roughly two months in 2024. The project met the four month data center exit timeline, and operational scope centered on research, threat intelligence, and machine learning data teams who required durable, long lived storage for large file sets. Governance and rollout relied on staged appliance shipments, coordinated ingest windows, and verification steps with AWS to validate complete transfer into S3 and Glacier Deep Archive. The outcome established cost effective long term storage for ML workloads and preserved a critical threat research corpus while aligning the Data Migration effort with the companys data center exit schedule. |
Buyer Intent: Companies Evaluating AWS Cloud Data Migration
- Sohu.com Limited, a China based Professional Services organization with 4900 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
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