AI Buyer Insights:

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Michelin, an e2open customer evaluated Oracle Transportation Management

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Michelin, an e2open customer evaluated Oracle Transportation Management

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

List of Amazon Aurora Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
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.
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.
Clearwater Analytics Professional Services 1915 $452M 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.
Professional Services 661 $135M United States Amazon Web Services (AWS) Amazon Aurora Database Management 2020 n/a
Professional Services 23700 $10.7B United States Amazon Web Services (AWS) Amazon Aurora Database Management 2019 n/a
Professional Services 4786 $1.5B United States Amazon Web Services (AWS) Amazon Aurora Database Management 2020 n/a
Banking and Financial Services 7000 $30.9B United States Amazon Web Services (AWS) Amazon Aurora Database Management 2020 n/a
Manufacturing 2320 $735M Japan Amazon Web Services (AWS) Amazon Aurora Database Management 2019 n/a
Manufacturing 11000 $36.6B United States Amazon Web Services (AWS) Amazon Aurora Database Management 2020 n/a
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:

  1. Scancom International, a Denmark based Manufacturing organization with 4650 Employees
  2. Amity University, a India based Education company with 3000 Employees

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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.