List of Amazon EMR Customers
Amazon Web Services (AWS)
410 Terry Avenue North,
Seattle, WA, 98109-5210,
United States
Seattle, WA, 98109-5210,
United States
1 206-266-1000
Professional Services
135000
$128.7B
Since 2010, our global team of researchers has been studying Amazon EMR 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 EMR for Application Hosting and Computing Services 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 EMR for Application Hosting and Computing Services include: Elevance Health, a United States based Insurance organisation with 104900 employees and revenues of $171.34 billion, KKR, a United States based Banking and Financial Services organisation with 5043 employees and revenues of $19.21 billion, Expedia, a United States based Professional Services organisation with 16500 employees and revenues of $13.69 billion, Airbnb, a United States based Professional Services organisation with 8200 employees and revenues of $12.24 billion, Baptist Health, a United States based Healthcare organisation with 27000 employees and revenues of $7.04 billion and many others.
Contact us if you need a completed and verified list of companies using Amazon EMR, 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 EMR 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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Airbnb | Professional Services | 8200 | $12.2B | United States | Amazon Web Services (AWS) | Amazon EMR | Application Hosting and Computing Services | 2008 | n/a |
In 2008, Airbnb implemented Amazon EMR. Amazon EMR is used as a managed cluster-based data processing platform within Airbnb's AWS environment, "".
Airbnb configured Amazon EMR to support large scale batch ETL and analytics workloads that underpin customer-facing functions. The deployment is aligned to common Amazon EMR capabilities such as distributed processing for log ingestion, scalable data transformations, and analytics orchestration to feed downstream services. Amazon EMR is explicitly cited by Airbnb executives as part of the infrastructure supporting payments, search, reservations, messaging and content moderation workloads.
Operationally the Amazon EMR deployment is integrated into Airbnb's broader AWS footprint, and it coexists with other AWS services the company has consumed since 2008. The company disclosed a multiyear hosting commitment with its primary cloud provider, originally $1.2 billion over five years and adjusted to an eight year term to average $150 million per year rather than $240 million per year, a change disclosed in its IPO prospectus. Airbnb attributes a $63.5 million year over year decrease in hosting costs in the nine months ended Sept. 30 to improved contract management and utilization of third party cloud services.
Governance around the Amazon EMR use has emphasized contract and capacity management, with reporting in public filings tying cloud spend terms to operational continuity. The filing links the hosting agreement adjustment to cost management during travel demand disruptions and notes the company has leveraged vendor negotiations and utilization controls to reduce hosting expense and cost of revenue.
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Baptist Health | Healthcare | 27000 | $7.0B | United States | Amazon Web Services (AWS) | Amazon EMR | Application Hosting and Computing Services | 2020 | n/a |
In 2020, Baptist Health implemented Amazon EMR, Apps Category , to standardize Spark-based ETL and analytics workloads across its data engineering organization. The Amazon EMR deployment was positioned as the primary cluster platform for PySpark, SparkSQL and Spark Streaming jobs that replaced long-running Hive queries and supported real-time Kafka ingestion patterns.
Implementation centered on Amazon EMR cluster automation and Spark application modernization, with teams converting Hive and HiveQL workloads into PySpark and Spark Scala jobs running on Amazon EMR. The implementation included creating external Hive tables, encoding and decoding JSON using PySpark, authoring Spark UDFs, and using Spark for event joins and aggregations prior to persisting to HDFS or object storage. Apache Airflow was installed for job orchestration and scheduling, with Apache Oozie used for legacy Hadoop job control in some flows.
Integrations spanned on-premises and cloud tooling that directly interacted with Amazon EMR, including Kafka for streaming ingestion, Amazon S3 and Amazon Glacier for data storage, DynamoDB updated via Python and the boto3 library, and CI/CD pipelines using GitHub and Jenkins. The environment also interfaced with Snowflake for fact and dimension table loads using Airflow operators, and Tableau for reporting over Snowflake, while comparative pipelines leveraged Google Cloud components such as BigQuery and Dataflow during proof of concept work.
Operational governance emphasized agile delivery, formal requirements capture, use case and design documentation, and guidance from senior data engineers to development teams on PySpark ETL patterns. Deployment architecture considerations included cluster lifecycle automation with DevOps to create and destroy EMR clusters, continuous monitoring, and performance tuning of Spark jobs using benchmarking and profiling techniques. The Amazon EMR implementation supported centralized ETL orchestration, developer workflow standardization, and cross-cloud benchmarking activities at Baptist Health.
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Blackline Safety | Professional Services | 477 | $55M | Canada | Amazon Web Services (AWS) | Amazon EMR | Application Hosting and Computing Services | 2020 | Onica by Rackspace Technology |
In 2020, Blackline Safety implemented Amazon EMR on Amazon Web Services, engaging Onica by Rackspace Technology to re-architect its high-volume streaming and processing infrastructure, aligned with the Data apps category. The project was driven by the need to ingest and enrich increased telemetry from G7 wearable devices and to deliver real-time analytics for industrial contact tracing, mapping of gas leaks, and equipment usage reporting.
The implementation centers on Amazon EMR as the primary processing layer, with Amazon Kinesis used for high-throughput ingestion, Delta Lake for scalable cohesive streaming and storage, and Amazon Redshift for analytical reporting. Configuration work included constructing a data lake staging and enrichment pipeline, implementing message routing and assembly logic to produce high-value records, and adjusting ingest cadence to support a shift from one message every five minutes to one every ten seconds per device.
Operational coverage extended to Blackline Vision data science workflows and to customer-facing reporting use cases across manufacturing, oil and gas, and public utilities. The solution accepted streams from G7 wearable devices via cellular and satellite connectivity and produced outputs for contact tracing visualizations, alert type dashboards, calibration and compliance views, and geospatial reports.
Onica assisted with AWS load balancer configuration and online troubleshooting with AWS partners, and helped establish strict user access controls to preserve client data boundaries during rollout. The collaboration enabled rapid deployment of an industrial contact tracing reporting capability and increased data-rate reporting from connected wearables, supporting Blackline Safety's continued delivery of cloud-hosted software and analytics.
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CAPTRUST | Banking and Financial Services | 1800 | $300M | United States | Amazon Web Services (AWS) | Amazon EMR | Application Hosting and Computing Services | 2024 | n/a |
In 2024, CAPTRUST implemented Amazon EMR as a core component of its Application Hosting and Computing Services to build scalable data pipelines and automate fiduciary reporting. The Akron, OH project scope beginning May 2024 centralized financial data from multiple systems, integrated REST APIs, and enabled interactive dashboards to support investment management, portfolio analysis, and regulatory compliance.
The implementation used Amazon EMR with Apache Spark for large scale processing, supplemented by AWS Glue and Talend for ETL orchestration, and S3 for raw data landing. Data engineering work included Python and SQL based data transformations, automated ETL workflows, and the construction of data lakes and warehouses feeding AWS Redshift and Snowflake for analytical query workloads. Amazon EMR was configured to run Spark jobs that standardized transactional and portfolio feeds into structured formats for downstream reporting.
Integrations tied Amazon EMR outputs to analytics and reporting layers, including Tableau and Power BI for fiduciary dashboards, REST APIs for third party financial tool feeds, and storage and query engines such as Redshift and Snowflake. Operational coverage focused on investment management, fiduciary process reporting, finance and compliance teams, with pipelines ingesting real time transactional data and batch feeds from multiple financial systems. Environment tooling included Git for code management and Jira for delivery tracking, enabling coordinated release cycles across data engineers and business stakeholders.
Governance features emphasized data validation, monitoring frameworks, and automated compliance checks implemented within ETL workflows to enforce fiduciary standards. Change control and pipeline orchestration were managed through versioned code repositories and CI friendly workflows, while data lineage and transformation logic were documented to support audits and regulatory reviews. Security and platform controls leveraged cloud provider capabilities across AWS and selective Azure resources to maintain regulatory compliance and operational resilience.
Explicit outcomes documented in the engagement include a reduction in manual data handling by 35 percent through streamlined API ingestion and automated ETL, plus deployment of interactive dashboards for stakeholder visibility into banking KPIs and compliance metrics. Amazon EMR served as the central compute fabric within CAPTRUST Application Hosting and Computing Services to scale processing of large banking datasets and to support fiduciary reporting requirements.
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Coinbase | Banking and Financial Services | 3772 | $6.6B | United States | Amazon Web Services (AWS) | Amazon EMR | Application Hosting and Computing Services | 2015 | n/a |
In 2015, Coinbase implemented Amazon EMR as part of its Application Hosting and Computing Services architecture on Amazon Web Services, embedding managed Hadoop processing into its production data platform. The deployment supported the Coinbase Exchange and wallet services that run inside the company production environment on AWS, and Coinbase launched the U.S. Coinbase Exchange on AWS in February 2015 while later expanding to serve European users.
Amazon EMR was used to process large, growing datasets for downstream analytics and warehousing, specifically to transform transactional stores into structured Amazon Redshift tables. The platform architecture includes a custom transactional data engine alongside Amazon Relational Database Service instances running PostgreSQL, and Amazon Elastic Compute Cloud instances that power exchange compute. Amazon EMR processed batch and large scale map reduce style workloads to feed the managed petabyte scale Redshift data warehouse.
The EMR implementation is tightly integrated with a real time streaming insight pipeline that uses Amazon Kinesis for operations analytics and event streaming. Audit and observability flows use AWS CloudTrail logs delivered to Amazon S3, then processed by AWS Lambda and routed into Kinesis containers based on Docker images, creating indexed audit logs. Network and deployment infrastructure is provisioned through AWS CloudFormation templates, and Amazon Virtual Private Cloud endpoints are used to optimize throughput to Amazon S3. Amazon WorkSpaces is used to provision cloud desktops for on demand contractor access to network slices.
Governance and access control were established with AWS Identity and Access Management to create an auditable self service security foundation, enabling engineers to operate within controlled boundaries. CloudFormation templates allowed version control of network topology and exact duplication for on demand development and staging environments, while CloudTrail and the indexed audit log path provided transparent, searchable auditability. The streaming pipeline also mirrors data into a separate disaster recovery environment for resilience.
Operational outcomes called out in the implementation include distribution of applications natively across multiple AWS Availability Zones for reliable global delivery, real time alerts when security groups or network access controls are modified, and a high volume data throughput where approximately 1 TB of data, about 1 billion events, flows daily through the analytics and audit pipeline. Amazon EMR is described as the component that crunches Coinbase databases into actionable Redshift data used to inform company performance and operational steering.
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Insurance | 104900 | $171.3B | United States | Amazon Web Services (AWS) | Amazon EMR | Application Hosting and Computing Services | 2020 | n/a |
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Professional Services | 16500 | $13.7B | United States | Amazon Web Services (AWS) | Amazon EMR | Application Hosting and Computing Services | 2010 | n/a |
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Professional Services | 16800 | $5.4B | United States | Amazon Web Services (AWS) | Amazon EMR | Application Hosting and Computing Services | 2016 | n/a |
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Banking and Financial Services | 5043 | $19.2B | United States | Amazon Web Services (AWS) | Amazon EMR | Application Hosting and Computing Services | 2020 | n/a |
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Media | 173 | $10M | Japan | Amazon Web Services (AWS) | Amazon EMR | Application Hosting and Computing Services | 2019 | n/a |
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Showing 1 to 10 of 14 entries
Buyer Intent: Companies Evaluating Amazon EMR
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Amazon EMR. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Amazon EMR for Application Hosting and Computing Services include:
- Fashionshow2U Poland, a Poland based Retail organization with 10 Employees
- Ilink Systems, a United States based Professional Services company with 571 Employees
- NVIDIA, a United States based Manufacturing organization with 36000 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated |
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Fashionshow2U Poland | Retail | 10 | $1M | Poland | 2026-07-09 |
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NVIDIA | Manufacturing | 36000 | $130.5B | United States | 2026-05-29 |
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Ilink Systems | Professional Services | 571 | $46M | United States | 2026-05-21 |
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Communications | 10 | $1M | India | 2026-04-21 |
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Education | 14000 | $1.6B | United States | 2026-04-09 |
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Professional Services | 4684 | $9.1B | United States | 2025-11-06 |
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Distribution | 10 | $1M | France | 2025-10-23 |
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Media | 50 | $5M | Germany | 2024-09-03 |
FAQ - APPS RUN THE WORLD Amazon EMR Coverage
Amazon EMR is a Application Hosting and Computing Services solution from Amazon Web Services (AWS).
Companies worldwide use Amazon EMR, from small firms to large enterprises across 21+ industries.
Organizations such as Elevance Health, KKR, Expedia, Airbnb and Baptist Health are recorded users of
Amazon EMR for Application Hosting and Computing Services.
Companies using Amazon EMR are most concentrated in Insurance, Banking and Financial Services and Professional Services, with adoption spanning over 21 industries.
Companies using Amazon EMR are most concentrated in United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Amazon EMR across Americas, EMEA, and APAC.
Companies using Amazon EMR range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 14.29%, large organizations with 1,001-10,000 employees - 50%, and global enterprises with 10,000+ employees - 35.71%.
Customers of Amazon EMR 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 EMR customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Application Hosting and Computing Services.