List of Amazon Kinesis Customers
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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, Disney, a United States based Leisure and Hospitality organisation with 203000 employees and revenues of $82.71 billion, Goldman Sachs, a United States based Banking and Financial Services organisation with 48300 employees and revenues of $53.51 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 | Banking and Financial Services | 17398 | $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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Disney | Leisure and Hospitality | 203000 | $82.7B | United States | Amazon Web Services (AWS) | Amazon Kinesis | Data Streaming | 2019 | n/a |
In 2019 The Walt Disney Company implemented Amazon Kinesis as a core Data Streaming component to support the launch and rapid scaling of Disney+. The deployment is part of a broader AWS-centric public cloud architecture that underpins global content delivery and direct-to-consumer streaming operations for Disney+.
Amazon Kinesis is used to collect, process, and analyze real-time streaming data for Disney+, ingesting content payloads, metadata, and billions of customer actions each day. Functional capabilities implemented with Amazon Kinesis include real-time event capture for viewer interactions, stream processing to populate Watch Lists and resume playback across devices, and feeding downstream personalization and recommendation workflows.
The Amazon Kinesis implementation is integrated with other AWS services explicitly used by Disney+, including Amazon DynamoDB for high-performance key-value storage and Amazon Timestream for time-series monitoring and real-time querying of platform telemetry. This stack leverages serverless and analytics services to maintain fault tolerance and high availability across a global footprint, supporting Disney+ expansion into 59 countries across North America, Europe, Asia Pacific, and Latin America.
Operational governance emphasized collaboration between Disney+ engineering and AWS to balance loads and absorb usage spikes, with monitoring and platform efficacy tracked via Amazon Timestream to maintain streaming quality. The configuration and scaling approach supported major operational events, including more than 10 million new Disney+ sign-ups within 24 hours of launch and reaching over 100 million subscribers within 16 months, while enabling continued global rollout and content delivery.
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Banking and Financial Services | 18676 | $8.3B | United States | Amazon Web Services (AWS) | Amazon Kinesis | Data Streaming | 2018 | n/a |
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Banking and Financial Services | 48300 | $53.5B | United States | 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 | 53859 | $20.8B | 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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