List of Amazon DynamoDB 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 DynamoDB 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 DynamoDB for Database Management 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 DynamoDB for Database Management include: Centene, a United States based Healthcare organisation with 60500 employees and revenues of $163.07 billion, Disney, a United States based Leisure and Hospitality organisation with 203000 employees and revenues of $82.71 billion, Merck, a United States based Life Sciences organisation with 73000 employees and revenues of $64.17 billion, Nike, a United States based Retail organisation with 79400 employees and revenues of $51.36 billion, Novo Nordisk, a Denmark based Life Sciences organisation with 78554 employees and revenues of $45.92 billion and many others.
Contact us if you need a completed and verified list of companies using Amazon DynamoDB, 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 IaaS software purchases.
The Amazon DynamoDB 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 IaaS 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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ADP | Professional Services | 67000 | $21.8B | United States | Amazon Web Services (AWS) | Amazon DynamoDB | Database Management | 2020 | n/a |
In 2020, ADP implemented Amazon DynamoDB as part of its cloud architecture for its next gen Human Capital Management solution, positioned in the Database category. Amazon DynamoDB was adopted primarily for key value storage to support flexible data modeling and high throughput alongside relational stores. The adoption is scoped to ADP’s next gen HCM and payroll platform, a low code app development platform built to deliver personalized work and pay experiences.
The implementation is built on a containerized microservice architecture running on Amazon Elastic Kubernetes Service, with roughly 250 microservices and multiple runtimes including Node.js, Go, and JVM. Amazon RDS in both MySQL and PostgreSQL flavors is used for transactional relational workloads, Amazon DynamoDB is used for key value storage patterns, Amazon Neptune provides graph database capabilities to enable dynamic teams, Amazon OpenSearch Service handles free text search, and Amazon Kinesis is used for change data capture and event streaming.
Operational design emphasizes multi tenancy and a multi region approach, with explicit consideration of isolation models for compute and data. ADP’s next gen HCM solution is framed to manage global workforce and compliance use cases, and the architecture supports personalization, customization, and AI driven insights by combining graph, relational, key value, search, and streaming data layers.
Governance and rollout involved a planned organizational transition for the new product, staffed primarily with new hires from the New York City tech market, with defined centralized support at both corporate and business unit levels and visible C level sponsorship. AWS SaaS Factory facilitated onsite workshops that helped ADP evaluate trade offs across multi tenant compute and data models and laid foundations for the multi region deployment strategy.
ADP cited security, capability, and innovation as drivers for choosing AWS services, and explicitly reported that the solution was built to adhere to data and privacy requirements while focusing on latency, throughput, availability, elasticity, and data modeling. Amazon DynamoDB is presented as a core Database component within this constellation of AWS services supporting ADP’s next gen HCM platform.
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AdRoll | Professional Services | 435 | $140M | United States | Amazon Web Services (AWS) | Amazon DynamoDB | Database Management | 2015 | n/a |
In 2015, AdRoll implemented Amazon DynamoDB as its Database Management solution on Amazon Web Services to support global ad bidding and serving workflows. The implementation was positioned to deliver low latency access and scale with traffic from major referrers such as Facebook, Google, and Yahoo, while operating across AdRolls ad serving infrastructure.
AdRoll combined Amazon DynamoDB with Apache Storm to create a streaming replication and processing architecture, enabling dataset replication across the globe in under 50 milliseconds. Amazon DynamoDB provided the high throughput key value and document storage tier, while Apache Storm handled real time stream processing and change propagation to maintain synchronized replicas for bidding state and serving lookups.
The deployment architecture emphasized global replication and low latency reads and writes to support bidding and ad delivery, allowing AdRoll to serve more than 50 billion impressions a day. The implementation leveraged AWS scalability characteristics to absorb traffic spikes from high volume sites, and Amazon DynamoDB was used as the core Database Management store for operational ad traffic and impression counting.
Operational outcomes reported by AdRoll include sub 50 millisecond global replication for dataset synchronization, the capacity to handle heavy referral traffic, and a favorable cost profile relative to operational spend. Amazon DynamoDB was cited as cost effective in AdRolls environment, and the combined DynamoDB and Apache Storm pattern is central to the companys global ad serving and bidding architecture.
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Agropur Ingredients YSA | Manufacturing | 340 | $200M | United States | Amazon Web Services (AWS) | Amazon DynamoDB | Database Management | 2014 | n/a |
In 2014, Agropur Ingredients YSA implemented Amazon DynamoDB as part of its Database footprint on Amazon Web Services. Agropur Ingredients YSA used Amazon DynamoDB to support DevOps and application infrastructure functions, positioning Amazon DynamoDB as the Database layer for low latency, schema flexible storage needs.
Amazon DynamoDB was provisioned as a managed NoSQL key value and document database to provide low latency storage for application tiers and to complement multitier LAMP application stacks running on EC2. The deployment model included VPC segmentation, security groups, ELB and Auto Scaling to deliver availability and resilience for services that relied on DynamoDB, alongside RDS for relational workloads.
The implementation integrated Amazon DynamoDB into a broader AWS operations stack that included EC2, ELB, Auto Scaling, S3, Route53, IAM, VPC, RDS, Elastic Cache, SNS, SQS, CloudWatch, CloudFormation and Direct Connect, and used external tooling for logging and alerting such as ELK and SCOM. Infrastructure as code was applied, with CloudFormation and Terraform templates used to provision DynamoDB resources, and CI/CD pipelines tied to GitHub and Maven based build artifacts to move code through environments.
Operational governance emphasized automated provisioning and pipeline driven deployments, with Git based source control, CI/CD promotion, and scripted configuration to maintain consistent DynamoDB table definitions and access policies. Monitoring and alerting were instrumented through CloudWatch and ELK to support ongoing operations and incident response for the Database backed application services.
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Alistair Group | Transportation | 600 | $150M | Tanzania | Amazon Web Services (AWS) | Amazon DynamoDB | Database Management | 2019 | Onica by Rackspace Technology |
In 2019, Alistair Group implemented Amazon DynamoDB as the primary data store for a new serverless logistics application. Amazon DynamoDB served as the Database underpinning a RESTful API backend designed to manage a subcontractor fleet operating across 14 countries and moving 650,000 tons of cargo per year.
The implementation delivered functional modules for load assignment distribution, driver progress reporting, fleet asset tracking, and collection of driver performance metrics. The RESTful API implemented via Amazon API Gateway used custom authorizers, AWS Lambda functions hosted the application logic, and Amazon DynamoDB maintained transactional state, while Amazon DynamoDB streams and AWS Lambda replicated a subset of data to Amazon Elasticsearch Service for full text search and time series analysis. Amazon Cognito provided authentication for administrators, fleet managers and drivers, the user interface was built with Angular for web users, and an Android app plus Amazon SNS provided push notifications to drivers for new load assignments.
Onica by Rackspace Technology worked alongside Alistair Group as the implementation partner, developing the business use case in a sprint based, iterative approach and beginning the stack with the API layer rather than a traditional web server. The deployment architecture is serverless and cloud native on Amazon Web Services, aligning operational coverage across fleet operations and dispatch functions and supporting hundreds of trucks and drivers within the companys contractor ecosystem.
The outcome was a streamlined, automated operations model where drivers receive assignments and report progress in real time, and operational teams consume richer reporting from replicated data in Amazon Elasticsearch Service. The solution was designed to keep costs low while allowing flexibility to scale up and down without re architecting the platform later, with Amazon DynamoDB as the central Database for transactional workloads.
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Boral | Construction and Real Estate | 9000 | $2.3B | Australia | Amazon Web Services (AWS) | Amazon DynamoDB | Database Management | 2019 | n/a |
In 2019, Boral implemented Amazon DynamoDB as the core Database Management store for its IoT Telematics platform. The implementation supported ingestion of telematics streams from in vehicle telematics devices, on vehicle sensors and driver mobile applications into a cloud based IoT hub and data store. The Telematics platform was designed to capture location, speed, harsh braking and turning, accidents, optional vehicle diagnostics and special purpose sensor data for allocated third party and owned vehicles.
Boral developed standardized telematics data models including provider normalized telematics records, user authorization models and master data schemas, and these models were implemented on Amazon DynamoDB using a NoSQL design aligned to high frequency telemetry. DynamoDB table creation and provisioning was automated with CloudFormation scripts, executed via the AWS CLI, and batch uploads were used to seed tables. S3 buckets were created and managed on AWS for intermediate storage and data exchange. The team applied data mapping between DynamoDB models and upstream and downstream systems to support real time and near real time workflows.
The solution integrated two way with allocation systems CS08, CMC, NAM and APEX and exported telemetry and status records to the Data Lake for analytics consumption. Operational components included in vehicle telematics devices, tablets, on vehicle sensors, network connectivity to a cloud based IoT hub, a driver mobile application and a cloud based portal for dispatch and compliance. Telemetry was configured to transmit updates every 30 to 60 seconds to the cloud based hub and DynamoDB data stores.
Governance and rollout activities were driven by business analysts, data modeling and test leads who developed conceptual designs, data mappings and authorization rules, and by engaging allocators, planners, administrators and call center staff during production testing and go live. Device management and system configuration capabilities were exposed in the portal to manage tracking enablement windows for third party trucks, ensuring tracking was enabled only during allocated periods. End to end testing, production testing and go live support were performed to validate data flows and role based access.
The Boral Telematics implementation using Amazon DynamoDB enabled 100% visibility of Boral allocated loads to dedicated vehicles, supporting location tracking, load delivery status, key load quality data and driver and vehicle compliance management. This Database Management deployment served as the central telemetry store for monitoring allocated vehicles and supporting allocation and compliance business functions.
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Banking and Financial Services | 76300 | $39.1B | United States | Amazon Web Services (AWS) | Amazon DynamoDB | Database Management | 2019 | n/a |
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Retail | 15350 | $2.8B | United States | Amazon Web Services (AWS) | Amazon DynamoDB | Database Management | 2018 | n/a |
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Healthcare | 60500 | $163.1B | United States | Amazon Web Services (AWS) | Amazon DynamoDB | Database Management | 2017 | n/a |
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Construction and Real Estate | 500 | $50M | United States | Amazon Web Services (AWS) | Amazon DynamoDB | Database Management | 2015 | n/a |
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Transportation | 7000 | $3.5B | United States | Amazon Web Services (AWS) | Amazon DynamoDB | Database Management | 2015 | n/a |
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Buyer Intent: Companies Evaluating Amazon DynamoDB
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Amazon DynamoDB. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Amazon DynamoDB for Database Management include:
- USI Insurance Services, a United States based Insurance organization with 10500 Employees
- Petty Wood, a United Kingdom based Distribution company with 50 Employees
- Incorporated Insurance Group UK, a United Kingdom based Insurance organization with 17 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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FAQ - APPS RUN THE WORLD Amazon DynamoDB Coverage
Amazon DynamoDB is a Database Management solution from Amazon Web Services (AWS).
Companies worldwide use Amazon DynamoDB, from small firms to large enterprises across 21+ industries.
Organizations such as Centene, Disney, Merck, Nike and Novo Nordisk are recorded users of
Amazon DynamoDB for Database Management.
Companies using Amazon DynamoDB are most concentrated in Healthcare, Leisure and Hospitality and Life Sciences, with adoption spanning over 21 industries.
Companies using Amazon DynamoDB are most concentrated in United States and Denmark, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Amazon DynamoDB across Americas, EMEA, and APAC.
Companies using Amazon DynamoDB range from small businesses with 0-100 employees - 5.56%, to mid-sized firms with 101-1,000 employees - 25%, large organizations with 1,001-10,000 employees - 22.22%, and global enterprises with 10,000+ employees - 47.22%.
Customers of Amazon DynamoDB 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 DynamoDB customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Database Management.