List of Amazon Kinesis 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 Kinesis 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 Kinesis for Data Streaming 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 Kinesis for Data Streaming include: Cigna Healthcare, a United States based Insurance organisation with 71295 employees and revenues of $244.38 billion, The Walt Disney Company, a United States based Leisure and Hospitality organisation with 203000 employees and revenues of $82.71 billion, Goldman Sachs Group, a United States based Banking and Financial Services organisation with 46200 employees and revenues of $58.28 billion, Philips Morris International, a United States based Consumer Packaged Goods organisation with 83100 employees and revenues of $37.90 billion, Triton Health System, a United States based Insurance organisation with 16070 employees and revenues of $36.26 billion and many others.
Contact us if you need a completed and verified list of companies using Amazon Kinesis, 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 Kinesis 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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ADP | Professional Services | 67000 | $21.8B | United States | Amazon Web Services (AWS) | Amazon Kinesis | Data Streaming | 2020 | n/a |
In 2020 ADP integrated Amazon Kinesis as part of its AWS-based next gen HCM platform, Apps Category . The engagement was driven through the AWS SaaS Factory program to accelerate a SaaS delivery model and provide SaaS content, tooling, and embedded AWS expertise to ADP as an AWS ISV Partner.
ADP’s implementation sits on a containerized microservice architecture with roughly 250 microservices running on Amazon Elastic Kubernetes Service, using runtimes that include Node.js, Go, and JVM. Amazon Kinesis is used specifically for change data capture use cases to stream data change events from system of record databases into downstream data stores, notably into a graph database running on Amazon Neptune. The broader data layer also includes Amazon RDS for MySQL and PostgreSQL, Amazon DynamoDB for key value storage, and Amazon OpenSearch Service for free text search functionality.
The deployment reflects multi-tenant SaaS design decisions and a multi-region approach that AWS SaaS Factory helped frame, with explicit attention to data and privacy requirements, latency, throughput, availability, elasticity, and data modeling. Amazon Kinesis functions as the streaming backbone for event propagation, supporting integrations between transactional relational stores and analytics and graph workloads that enable ADP’s dynamic teams and AI driven insights.
Governance and operational changes accompanied the technical work, AWS SaaS Factory ran onsite workshops to assess tenancy trade offs and to inform compute and data isolation strategies. ADP created a new product team to operate the next gen HCM platform, defined centralized support at corporate and business unit levels, and secured C level backing to transition operational processes and rollout a SaaS model on AWS.
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Blackline Safety | Professional Services | 477 | $55M | Canada | Amazon Web Services (AWS) | Amazon Kinesis | Data Streaming | 2020 | n/a |
In 2020 Blackline Safety implemented Amazon Kinesis in the Data category to ingest and process high-volume streaming telemetry from its G7 wearable devices, addressing an accelerated need to support a 30x increase in reporting cadence from once every five minutes to once every ten seconds. The project was driven by concurrent demands to scale data processing for an expanding customer base and to deliver an industrial contact tracing reporting capability that works in intrinsically safe environments such as refineries and power plants.
The implementation centered on Amazon Kinesis for real-time ingestion and Amazon EMR for downstream processing, with a Delta Lake enabled data lake used to provide cohesive streaming storage and enrichment. Data is routed through AWS load balancers into enrichment and assembly workflows, then delivered into Amazon Redshift for reporting and analytics. The pipeline was configured to preserve message integrity during ingestion, perform enrichment of raw messages, and produce structured outputs used for contact tracing visualizations, gas leak mapping, equipment usage dashboards, alert type analysis, and testing and calibration compliance tracking.
Blackline engaged Onica to assist with AWS platform expansion and re-architecting elements of its current platform, including resolving constraints with partners through technical troubleshooting sessions. Integrations explicitly included Amazon Kinesis, Amazon EMR, Delta Lake and Amazon Redshift, all hosted on AWS, supporting data from cellular and satellite connected G7 devices in the field. Operational coverage included industrial and office sites where intrinsically safe devices are required, with per-client data isolation and strict user access controls to ensure designated user access only.
Governance work included building a data lake architecture and access controls to maintain client level data separation, and aligning enrichment and reporting workflows to support rapid deployment of the Blackline Vision industrial contact tracing reports. The Amazon Kinesis based streaming architecture enabled higher data rate reporting and the launch of an interactive contact tracing infrastructure while positioning Blackline Safety to increase granularity in downstream data science and analytics workflows.
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Cigna Healthcare | Insurance | 71295 | $244.4B | United States | Amazon Web Services (AWS) | Amazon Kinesis | Data Streaming | 2022 | n/a |
In 2022, Cigna Healthcare implemented Amazon Kinesis, Apps Category . Cigna Healthcare implemented Amazon Kinesis to provide a centralized streaming layer within its broader AWS estate, integrating the Kinesis data stream with existing AWS services to support real time event ingestion and processing across cloud native applications.
The Amazon Kinesis implementation was configured to handle event aggregation from application and infrastructure sources, with processing logic executed by AWS Lambda functions and monitoring routed to Amazon CloudWatch and CloudTrail. Streams from Kinesis were routed into durable targets such as Amazon S3 and the noted Redshift cluster for downstream analytics and archival, while DynamoDB streams and Lambda were used in parallel for specific change data capture and backup workflows.
Deployment architecture was defined and provisioned through infrastructure as code, using AWS CloudFormation and Terraform for VPC, subnets, EC2, security groups and related networking required by streaming consumers. CI and CD pipelines in Jenkins automated build and deployment flows, with containerized consumers managed via ECR, ECS Fargate and Kubernetes, and Helm charts used for reproducible releases of streaming consumer services.
Operational governance incorporated IAM policy controls and security group segmentation to meet audit and compliance requirements, logging to Splunk for alerting and investigation, and use of ServiceNow change orders for production deployments. Runtime operational tasks and ticketing were coordinated through JIRA, while infrastructure recovery and lifecycle tasks leveraged KOPS and OpenStack where private cloud elements were required.
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Citizens Bank International | Banking and Financial Services | 17380 | $8.2B | United States | Amazon Web Services (AWS) | Amazon Kinesis | Data Streaming | 2017 | n/a |
In 2017, Citizens Bank implemented Amazon Kinesis as a core component of a Data Streaming initiative to capture and route high velocity event data. Amazon Kinesis was deployed alongside AWS compute and storage services to provide continuous streaming ingestion and delivery into the bank's analytics and storage layers.
The implementation included Amazon Kinesis Firehose for managed delivery pipelines, with Kinesis client code and Lambda functions deployed from Amazon S3 buckets. Serverless components were used for event processing, API Gateway and Lambda were configured for request handling, and DynamoDB supported low latency operational lookups. Traditional compute infrastructure was retained for stateful workloads, with EC2 instances, Route 53 DNS configuration, elastic load balancers and auto scaling for web tiers, and EBS snapshot automation through EC2 Lifecycle Manager.
Integrations were explicitly instrumented, Amazon Kinesis Firehose delivered streaming records into Amazon S3 and Amazon Redshift for storage and analytics, while Elasticsearch was used to analyze indexed streaming data. Centralized logging and audit trails were enabled with S3 access logs, VPC flow logs, CloudTrail, CloudWatch alarms and AWS Config, covering resources including Lambda, RDS, DynamoDB, CloudFront and EC2 application servers. AWS Systems Manager and Elasticache were used for configuration management, patching and caching to reduce latency for transactional services.
Governance and infrastructure automation were enforced using AWS Organizations and AWS Control Tower to centralize account management and apply guardrails, while CloudFormation and Terraform automated provisioning. Operational monitoring was implemented with CloudWatch alarm rules for real time metrics across more than 100 AWS resources, and automated snapshot and image build processes streamlined backup and image management workflows.
Documented outcomes from the effort included increased scalability and improved reliability, annual cost savings of 30 percent from infrastructure and operational changes, a 45 percent reduction in manual effort through scheduled EBS snapshot automation, and a 15 percent reduction in EC2 related costs from image build and optimization activities. Amazon Kinesis remained the focal application for Data Streaming, feeding downstream storage and analytic systems to support the bank's data driven operations.
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Fifth Third Bank | Banking and Financial Services | 18676 | $8.3B | United States | Amazon Web Services (AWS) | Amazon Kinesis | Data Streaming | 2018 | n/a |
In 2018, Fifth Third Bank implemented Amazon Kinesis as a Data Streaming solution to ingest real time telemetry from internet banking and payment systems and to underpin analytics workflows for fraud detection. The Amazon Kinesis deployment was part of a broader AWS data platform architecture that combined stream processing with batch processing to support both speed and batch analytic layers. This implementation concentrated on real time ingestion, stream processing, and feeding downstream analytic stores for investigation by the fraud team.
The implementation included configuration and automation of ingestion and batch processes, with HDFS configuration used to stage data and PySpark scripts to perform batch ingestion into Amazon RDS. AWS Glue was used to create Glue jobs for ETL, to generate batch views, and to perform data mapping, cleaning, aggregation, and to populate the Glue Data Catalog for query use. Amazon Kinesis streams were written to using Python and the AWS SDK for Python Boto3 library, and AWS Batch was used to orchestrate and manage batch computing workloads supporting the analytics pipeline.
Integrations centered on AWS native services, with Kinesis Data Analytics performing SQL based stream analytics, Kinesis Data Firehose delivering processed real time records to DynamoDB, and Athena used to create tables for both batch and speed layers with S3 as the serving layer. Data movement to Redshift was handled via AWS Glue to serve results to fraud analysts, and QuickSight was used for dashboarding of key indicators. Operational monitoring and alerting included Splunk to track failed logins and notify the fraud team, supporting rapid investigation workflows.
Operational governance was enforced through serverless orchestration and CI CD patterns, with AWS Lambda triggering Glue jobs for batch and Kinesis for the speed layer, and SNS integrated to invoke Lambda functions in response to messages. Source control and deployment pipelines used CodeCommit for private repositories and CodeDeploy to automate Lambda deployments, while AWS KMS and IAM provided encryption and access control for sensitive data and functions. Agile practices including sprint planning and daily scrum meetings were used to manage incremental releases and ongoing process improvements.
The implementation explicitly enabled complex analytics models and ad hoc queries to identify patterns and anomalies indicative of fraud, with Kinesis Data Analytics and Athena supporting rapid detection and investigation. Amazon Kinesis served as the core Data Streaming layer, feeding both real time and batch analytic paths to support fraud detection and analyst workflows at Fifth Third Bank.
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Banking and Financial Services | 46200 | $58.3B | United States | Amazon Web Services (AWS) | Amazon Kinesis | Data Streaming | 2020 | n/a |
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Insurance | 1870 | $2.2B | Australia | Amazon Web Services (AWS) | Amazon Kinesis | Data Streaming | 2020 | n/a |
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Consumer Packaged Goods | 83100 | $37.9B | United States | Amazon Web Services (AWS) | Amazon Kinesis | Data Streaming | 2020 | n/a |
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Banking and Financial Services | 56366 | $23.1B | United States | Amazon Web Services (AWS) | Amazon Kinesis | Data Streaming | 2020 | n/a |
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Government | 18022 | $2.3B | Australia | Amazon Web Services (AWS) | Amazon Kinesis | Data Streaming | 2017 | n/a |
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Buyer Intent: Companies Evaluating Amazon Kinesis
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Amazon Kinesis. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Amazon Kinesis for Data Streaming include:
- J.P. Morgan, a United States based Banking and Financial Services organization with 4649 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated |
|---|---|---|---|---|---|---|
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J.P. Morgan | Banking and Financial Services | 4649 | $6.2B | United States | 2026-06-11 |
FAQ - APPS RUN THE WORLD Amazon Kinesis Coverage
Amazon Kinesis is a Data Streaming solution from Amazon Web Services (AWS).
Companies worldwide use Amazon Kinesis, from small firms to large enterprises across 21+ industries.
Organizations such as Cigna Healthcare, The Walt Disney Company, Goldman Sachs Group, Philips Morris International and Triton Health System are recorded users of
Amazon Kinesis for Data Streaming.
Companies using Amazon Kinesis are most concentrated in Insurance, Leisure and Hospitality and Banking and Financial Services, with adoption spanning over 21 industries.
Companies using Amazon Kinesis are most concentrated in United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Amazon Kinesis across Americas, EMEA, and APAC.
Companies using Amazon Kinesis range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 15.79%, large organizations with 1,001-10,000 employees - 15.79%, and global enterprises with 10,000+ employees - 68.42%.
Customers of Amazon Kinesis 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 Kinesis customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Data Streaming.