List of Amazon Aurora 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 Aurora 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 Aurora 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 Aurora for Database Management include: BP, a United Kingdom based Oil, Gas and Chemicals organisation with 100500 employees and revenues of $189.19 billion, Samsung US, a United States based Manufacturing organisation with 11000 employees and revenues of $36.56 billion, Fannie Mae, a United States based Banking and Financial Services organisation with 7000 employees and revenues of $30.85 billion, DoorDash, a United States based Professional Services organisation with 23700 employees and revenues of $10.72 billion, The Pokemon Company, a Japan based Professional Services organisation with 6200 employees and revenues of $3.37 billion and many others.
Contact us if you need a completed and verified list of companies using Amazon Aurora, 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 Aurora 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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Abios | Professional Services | 45 | $6M | Sweden | Amazon Web Services (AWS) | Amazon Aurora | Database Management | 2018 | n/a |
In 2018, Abios implemented Amazon Aurora. Abios implemented Amazon Aurora in 2018 as the central Database layer to support its esports data platform, positioning the Amazon Aurora database as the authoritative relational store for data APIs, data visualisation iframes and odds products.
The deployment followed an AWS-native architecture, integrating Amazon Aurora with Amazon EKS for containerized microservices, AWS Lambda for serverless processing, Redis for caching and RabbitMQ for event queuing. Amazon Aurora was configured to serve transactional and analytical workloads within the platform, leveraging Database patterns such as clustered instances, read replicas and managed backup routines to align with availability and operational resilience goals.
Operational ownership was retained by Abios small agile engineering teams in Stockholm, who incorporated schema design, SQL dialect management and CI/CD pipelines to manage database schema changes and deployments to Amazon Aurora. The implementation impacted backend engineering, platform operations and product teams responsible for APIs and visualisations, embedding the Amazon Aurora Database into microservice workflows, automated testing and release processes.
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BP | Oil, Gas and Chemicals | 100500 | $189.2B | United Kingdom | Amazon Web Services (AWS) | Amazon Aurora | Database Management | 2020 | n/a |
In 2020, BP implemented Amazon Aurora as a targeted Database deployment within a broader AWS cloud migration program. One year on, the migration was running ahead of schedule with over 60% of BP’s European mega data centre workloads migrated to the AWS cloud, including business-critical applications and trading platforms.
The deployment of Amazon Aurora for BP trading was positioned to deliver higher operational resiliency and improved performance for transaction and market data workloads, with Amazon Aurora cited explicitly as the cloud database for trading. The broader engagement included data migrations and application modernization to cloud-native architectures, and the use of machine learning enabled services to support analytics and operational automation.
Integrations centered on AWS services, BP data centres and cloud capabilities, and cloud-hosted business applications. Workloads moved to Amazon Aurora were integrated alongside trading platforms and other business-critical systems, while parallel initiatives used Amazon QuickSight for procurement and supply chain analytics and Talk2Me, an automated AI support system powered by Amazon Alexa, to address retail helpdesk demand.
Operational scope covered European mega data centre consolidation and cloud-first application modernization across trading, procurement, supply chain and retail support functions. The program reported explicit outcomes including migration progress exceeding 60% of targeted European data centre workloads, reductions in energy use and emissions from BP’s digital infrastructure and data centres, a reported 40% reduction in BP retail helpdesk calls from the Talk2Me deployment, and stated improvements in resiliency and performance after adopting Amazon Aurora.
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Clearwater Analytics | Professional Services | 3000 | $731M | United States | Amazon Web Services (AWS) | Amazon Aurora | Database Management | 2018 | n/a |
In 2018, Clearwater Analytics implemented Amazon Aurora as its Database service on Amazon Web Services. The deployment used Amazon Aurora and RDS instances provisioned across multiple Availability Zones to enable automated recovery and high availability patterns described by the engineering team.
Infrastructure was provisioned and versioned using Terraform to create development, test, and production environments. Backups were configured to S3 with archival to Amazon Glacier, and automation was implemented with Bash and Python scripts plus Boto3, Lambda scheduling, and CloudFormation templates to enforce fault tolerance and recovery procedures.
The application topology integrated Amazon Aurora with containerized microservices running on Amazon ECS and Docker, with Kubernetes used for additional container orchestration and Istio for service mesh control. Traffic was distributed using an Nginx reverse proxy alongside Amazon ELB, while API Gateway and Lambda provided application layer services; CI/CD pipelines used Jenkins with EC2 worker nodes, Git branching and pre-push hooks, and Ansible playbooks to manage configuration.
Operational governance covered secret management with HashiCorp Vault, role based access control through Ansible Tower, and monitoring and alerting via CloudWatch and centralized logging with ELK and EFK stacks. Clearwater Analytics aligned Amazon Aurora Database deployment with automated infrastructure-as-code, container orchestration, pipeline automation, and secret and monitoring governance across DevOps and engineering environments.
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CS DISCO, Inc. | Professional Services | 661 | $135M | United States | Amazon Web Services (AWS) | Amazon Aurora | Database Management | 2020 | n/a |
In 2020, CS DISCO, Inc. implemented Amazon Aurora as its database layer for Database Management, embedding relational storage into a cloud native architecture to support DISCO Ediscovery. Amazon Aurora is presented as the primary managed relational engine that backs search and materialization of processed legal data within DISCO's platform.
The deployment architecture centers on a distributed domain driven design built on AWS, with Amazon EC2 powering large elastic clusters and Amazon Aurora providing MySQL and PostgreSQL compatible relational storage. Elastic clusters can exceed 1,000 nodes to support indexing and query workloads, and Aurora supports the companys need to retrieve and materialize high quality information after document processing.
Core functional capabilities implemented alongside Amazon Aurora include a high throughput ingestion pipeline driven by AWS Lambda, selective use of AWS Fargate for workloads not suited to Lambda, and AI driven data enrichment such as reconstructed email chains to improve search relevance. Elasticsearch is used for search intelligence, with Aurora providing the transactional and materialized data layer that enables rapid lawyer access to processed results.
Integrations explicitly include AWS Lambda for massive scale ingestion, Amazon EC2 for elastic compute clusters, Amazon Managed Streaming for Apache Kafka for messaging, AWS Fargate for containerized workloads, and Elasticsearch for indexing and search. The implementation is scoped to DISCOs law firm and corporate law department customers who submit collections ranging from thousands to tens of millions of documents and a diverse set of file formats spanning decades.
Governance and operational practice emphasize service selection based on workload characteristics and continuous adaptation to client needs, enabling DISCO to add features as AWS innovations become available. Outcomes described in DISCOs account include consistently fast ingestion regardless of volume, a stable user experience for end users navigating documents, and rapid availability of high quality information for lawyers.
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DoorDash | Professional Services | 23700 | $10.7B | United States | Amazon Web Services (AWS) | Amazon Aurora | Database Management | 2019 | n/a |
In 2019, DoorDash implemented Amazon Aurora as a central component of its Database Management architecture to scale platform capacity during a 325 percent order growth surge. The implementation targeted real-time analytics and operational workloads supporting last-mile logistics, merchant services, and the customer membership program.
The core deployment uses a 10TB Amazon Aurora Postgres cluster configured for read scalability and high write throughput, paired with Amazon ElastiCache to accelerate caches and lookups, and Amazon CloudWatch for observability and operational monitoring. Amazon Kinesis ingests streaming order and location telemetry which is routed into Amazon Redshift for analytical querying, while Amazon Aurora stores transactional state for operational services.
Integrations with Amazon ElastiCache, Amazon CloudWatch, Amazon Kinesis, and Amazon Redshift form an integrated data pipeline where Amazon Aurora houses primary transactional data and the streaming and analytics services deliver near real-time insight for routing and merchant operations. The Amazon Aurora deployment supports DoorDash operations across more than 340,000 local businesses and restaurants and activity in 4,400 cities across the United States and Canada.
Andy Fang, co founder and CTO at DoorDash, presented aspects of this architecture onstage at the 2019 AWS Global Summit in New York City. The Amazon Aurora implementation enabled the company to scale its transactional database footprint to 10TB and to provide the real-time data analytics needed by its last-mile logistics network, merchant services, and customer membership program.
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Professional Services | 4786 | $1.5B | United States | Amazon Web Services (AWS) | Amazon Aurora | Database Management | 2020 | n/a |
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Banking and Financial Services | 7000 | $30.9B | United States | Amazon Web Services (AWS) | Amazon Aurora | Database Management | 2020 | n/a |
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Manufacturing | 2320 | $735M | Japan | Amazon Web Services (AWS) | Amazon Aurora | Database Management | 2019 | n/a |
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Manufacturing | 11000 | $36.6B | United States | Amazon Web Services (AWS) | Amazon Aurora | Database Management | 2020 | n/a |
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Professional Services | 6200 | $3.4B | Japan | Amazon Web Services (AWS) | Amazon Aurora | Database Management | 2016 | n/a |
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Buyer Intent: Companies Evaluating Amazon Aurora
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Amazon Aurora. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Amazon Aurora for Database Management include:
- Scancom International, a Denmark based Manufacturing organization with 4650 Employees
- Amity University, a India based Education company with 3000 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated |
|---|---|---|---|---|---|---|
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Scancom International | Manufacturing | 4650 | $1.2B | Denmark | 2025-07-17 |
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Amity University | Education | 3000 | $230M | India | 2025-03-04 |
FAQ - APPS RUN THE WORLD Amazon Aurora Coverage
Amazon Aurora is a Database Management solution from Amazon Web Services (AWS).
Companies worldwide use Amazon Aurora, from small firms to large enterprises across 21+ industries.
Organizations such as BP, Samsung US, Fannie Mae, DoorDash and The Pokemon Company are recorded users of
Amazon Aurora for Database Management.
Companies using Amazon Aurora are most concentrated in Oil, Gas and Chemicals, Manufacturing and Banking and Financial Services, with adoption spanning over 21 industries.
Companies using Amazon Aurora are most concentrated in United Kingdom, United States and Japan, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Amazon Aurora across Americas, EMEA, and APAC.
Companies using Amazon Aurora range from small businesses with 0-100 employees - 9.09%, to mid-sized firms with 101-1,000 employees - 18.18%, large organizations with 1,001-10,000 employees - 45.45%, and global enterprises with 10,000+ employees - 27.27%.
Customers of Amazon Aurora 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 Aurora customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Database Management.