List of Confluent Cloud Customers
Confluent
899 West Evelyn Ave.,
Mountain View, 94041, CA,
United States
Mountain View, 94041, CA,
United States
1 800-439-3207
Professional Services
2800
$200M
Since 2010, our global team of researchers has been studying Confluent Cloud 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 Confluent Cloud 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 Confluent Cloud for Data Streaming include: BMW Group, a Germany based Automotive organisation with 146064 employees and revenues of $163.30 billion, Humana, a United States based Insurance organisation with 95500 employees and revenues of $83.06 billion, L'Oreal, a France based Retail organisation with 95000 employees and revenues of $50.51 billion, Sainsbury’s, a United Kingdom based Retail organisation with 145000 employees and revenues of $43.61 billion, US Foods, a United States based Distribution organisation with 30000 employees and revenues of $37.88 billion and many others.
Contact us if you need a completed and verified list of companies using Confluent Cloud, 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 Confluent Cloud 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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10x Banking | Banking and Financial Services | 260 | $90M | United Kingdom | Confluent | Confluent Cloud | Data Streaming | 2024 | n/a |
In 2024, 10x Banking implemented Confluent Cloud to power its SuperCore platform and establish a scalable streaming backbone. Confluent Cloud is used as the Data Streaming substrate to enable event driven microservices and real time customer experience capabilities across the platform.
The deployment configures Confluent Cloud for topic based event ingestion, durable event logs, stream processing, schema management, and topic level access controls to support interoperable microservices. The architecture centralizes event streams as the digital core, enabling services to produce and consume events, and it embeds developer workflows and CI/CD practices to accelerate iteration and go to market. Confluent Cloud operates as a managed streaming service that provides built in scalability, high availability, enterprise grade security controls, and simplified operational management.
Confluent Cloud underpins 10x Banking's SuperCore platform and directly supports personalization, customer experience, and faster product delivery for banking customers. The implementation spans 10x Banking’s digital native product set for financial services and delivered the stated outcomes of improved customer experiences, increased agility and faster time to market, a scalable resilient platform, enterprise grade security, and reduced total cost of ownership with simplified management.
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ACERTUS | Transportation | 1200 | $130M | United States | Confluent | Confluent Cloud | Data Streaming | 2024 | n/a |
In 2024, ACERTUS implemented Confluent Cloud as its centralized streaming platform to unify data across its three distinct business units, Car Haul, Drive Away, and Title & Registration, formalizing a Data Streaming backbone for operational systems and customer experiences. Confluent Cloud is positioned as the core Data Streaming application connecting transportation management, title and registration, and car haul systems to enable upstream and downstream real-time data flows across the company.
The implementation focused on streaming data pipelines and event-driven microservices, using Confluent Cloud with Schema Registry and ksqlDB for in-flight processing and schema governance. ACERTUS adopted Confluent’s pre-built source and sink connectors and change data capture connectors for SQL Server and PostgreSQL to stream transactional updates, and used Stream Lineage to visualize event flows and dependencies between microservices and downstream consumers.
Integrations were explicitly built to operationalize real-time workflows, including a CarGurus order integration, Snowflake as the data warehouse sink, and connectors to NetSuite and Salesforce to preserve the quote to cash sequence. Confluent Cloud was deployed alongside AWS Marketplace tooling with Amazon Elastic Container Service and AWS Fargate to run Kafka Streams applications as Docker containers, and low-latency mobile notifications were improved through Verizon wavelength and 5G network integration.
Governance and self-service access were implemented using Schema Registry and Stream Catalog to manage more than 5,000 schemas, enable searchable topic tagging, and provide versioned, trusted data for analytics and downstream services. The platform replaced manual email, spreadsheet, and ticket based handoffs by producing event notifications for cases such as VIN de-duplication, enabling instant checks and automated downstream responses that altered operational workflows across customer service, logistics, and analytics teams.
Outcomes called out by ACERTUS include generating more than $10 million in incremental revenue in the first year, increased profit margins, payable optimization for customers, and a lower total cost of ownership by freeing FTEs from operating Kafka or building connectors. Confluent Cloud enabled greater team autonomy, faster feature delivery, and a roadmap that includes data mesh and enterprise data catalogs built on Schema Registry and stream governance, consolidating ACERTUS Application Confluent Cloud Data Streaming as a foundation for future real-time services.
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Alight Solutions | Professional Services | 9000 | $2.3B | United States | Confluent | Confluent Cloud | Data Streaming | 2020 | n/a |
In 2020, Alight Solutions deployed Confluent Cloud as a central component of a Unified Data Platform that functions as a forward cache for customer information. The implementation targeted Data Streaming to create a low-latency, single view of the customer and to reduce synchronous runtime dependence on z/OS mainframe systems.
The technical implementation centered on streaming data pipelines based on Apache Kafka technology, with Confluent Cloud providing managed infrastructure for producers, consumers, and topic management. Teams designed data models and schemas up front, instrumented message extraction and publishing workflows, and required encryption of data at rest and in transit to meet privacy and security needs, enabling on-demand cache refresh with subsecond response expectations. The program also planned use of streaming SQL, connector management, and the Confluent Control Center to expand real-time processing and operational visibility.
Integrations consolidated data from a wide variety of back-end systems, explicitly including mainframe applications, Java-based systems, cloud-hosted human capital management solutions, and downstream consumers such as Salesforce.com Service Cloud. The platform was built to handle approximately 70 million unique records across systems and to feed downstream stores such as MongoDB and modern application frameworks in the stack. Initial work brought Kafka into the corporate data center and then extended event publication to cloud consumers using Confluent capabilities.
Governance and rollout emphasized operational readiness and developer enablement, with Confluent-provided onsite training for architects, developers, and operations staff, and Confluent engineers validating schema and design choices. Development started with a small core engineering team of roughly six people and scaled about tenfold as the platform stabilized, while processes for schema management, connector usage, and standardized consumer APIs centralized integration patterns across projects.
Results called out by the customer included reduced mainframe costs, accelerated delivery of new customer-facing solutions, and establishment of a platform for future expansion and event-driven business models. The Unified Data Platform implemented with Confluent Cloud freed designers and developers to prototype new delivery channels and supported plans to extend streaming capabilities into notifications and partner integrations.
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Amway | Retail | 14000 | $7.4B | United States | Confluent | Confluent Cloud | Data Streaming | 2021 | n/a |
In 2021, Amway deployed Confluent Cloud as its Data Streaming platform to address a tightly-coupled IT architecture that had been slowing delivery of new capabilities to customers and Independent Business Owners. The initial work began as a North America pilot focused on critical customer and order data, and Amway used cloud infrastructure on AWS to provision Confluent Cloud for production streaming workloads. This deployment made Confluent Cloud the central event streaming layer for the company, enabling data to move in real time across systems rather than waiting for batch processing.
Amway configured an event-driven architecture built on Confluent Cloud with Apache Kafka topics as the primary integration fabric, and the implementation included use of Confluent-managed services to reduce operational overhead. The technical stack explicitly planned for ksqlDB to accelerate streaming application development and Confluent connectors to bridge mainframe and other source systems to modern consumers. Confluent Cloud engineers provided managed Kafka operations, allowing Amway teams to focus on streaming application logic and business workflows rather than Kafka system administration.
The Confluent Cloud implementation integrated into two large programs, an omnichannel commerce initiative and a multiyear ERP program, by publishing data from existing middleware into Kafka topics so producers and consumers remained independent. This approach supported continuous reconciliation for processes such as IBO bonus calculations and enabled real-time order and customer data flows used by fulfillment and commerce teams. Connectors were used to surface legacy transactional data into the streaming platform, and the data mesh mentality increased the composability of new mobile and customer experiences.
Governance and operational changes emphasized team autonomy and decoupled deployments, with product and platform teams owning data producer and consumer contracts on Confluent Cloud. The rollout progressed from pilot to production for high-priority programs, and the architecture design reduced the need for heavy system recoupling during go-live events. Explicit business outcomes stated by Amway include millions of dollars in cost overruns avoided, continuous quality assurance on critical IBO bonuses, completion of multiple transformational projects, and better leverage of finite IT staff by relying on Confluent Cloud managed services.
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AO.com | Retail | 2921 | $1.4B | United Kingdom | Confluent | Confluent Cloud | Data Streaming | 2020 | n/a |
In 2020, AO.com deployed Confluent Cloud to build an event-streaming platform that centralizes real-time retail signals. The implementation is classified as Data Streaming and uses Confluent Cloud as the managed streaming service to ingest and route high-velocity events for online commerce workflows.
The deployment implemented core Data Streaming capabilities including continuous clickstream ingestion, order event streams, and stock level streaming, combined with stream processing and managed connector patterns for event transformation and enrichment. Confluent Cloud provided schema management and topic orchestration to enforce data contracts and enable consistent event formats across downstream consumers.
Integrations explicitly included clickstream, order, and stock data flows, which were unified into the event backbone to feed personalization and storefront decision systems in real time. The rollout focused on the UK retail ecommerce environment, impacting ecommerce operations, marketing and merchandising workflows, and engineering teams responsible for customer experience and checkout flows.
Governance changes emphasized a centralized event taxonomy and data contracts to support developer self-service and reduce operational overhead. AO.com reported improved customer experiences and increased conversion rates by up to 30 percent, while accelerating developer velocity and reducing the operational burden through the Confluent Cloud managed streaming platform.
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Professional Services | 500 | $100M | India | Confluent | Confluent Cloud | Data Streaming | 2023 | n/a |
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Banking and Financial Services | 500 | $30M | Netherlands | Confluent | Confluent Cloud | Data Streaming | 2022 | n/a |
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Automotive | 146064 | $163.3B | Germany | Confluent | Confluent Cloud | Data Streaming | 2024 | n/a |
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Professional Services | 100 | $14M | South Korea | Confluent | Confluent Cloud | Data Streaming | 2020 | n/a |
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Professional Services | 1256 | $350M | Italy | Confluent | Confluent Cloud | Data Streaming | 2022 | n/a |
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Buyer Intent: Companies Evaluating Confluent Cloud
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Confluent Cloud. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Confluent Cloud for Data Streaming include:
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated |
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IGBMC | Professional Services | 570 | $70M | France | 2026-03-24 |
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AT&T | Communications | 146040 | $122.4B | United States | 2026-03-16 |
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Aiven | Professional Services | 600 | $80M | Finland | 2026-02-18 |
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Communications | 10 | $1M | Poland | 2025-12-29 |
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Professional Services | 25 | $4M | United Kingdom | 2025-12-22 |
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Government | 500 | $50M | India | 2025-12-11 |
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Education | 24700 | $2.2B | United States | 2025-12-06 |
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Professional Services | 25 | $3M | United Arab Emirates | 2025-10-09 |
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Professional Services | 5000 | $1.7B | United States | 2025-10-08 |
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Professional Services | 142 | $42M | United Kingdom | 2024-10-08 |
FAQ - APPS RUN THE WORLD Confluent Cloud Coverage
Confluent Cloud is a Data Streaming solution from Confluent.
Companies worldwide use Confluent Cloud, from small firms to large enterprises across 21+ industries.
Organizations such as BMW Group, Humana, L'Oreal, Sainsbury’s and US Foods are recorded users of
Confluent Cloud for Data Streaming.
Companies using Confluent Cloud are most concentrated in Automotive, Insurance and Retail, with adoption spanning over 21 industries.
Companies using Confluent Cloud are most concentrated in Germany, United States and France, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Confluent Cloud across Americas, EMEA, and APAC.
Companies using Confluent Cloud range from small businesses with 0-100 employees - 3.23%, to mid-sized firms with 101-1,000 employees - 22.58%, large organizations with 1,001-10,000 employees - 35.48%, and global enterprises with 10,000+ employees - 38.71%.
Customers of Confluent Cloud 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 Confluent Cloud customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Data Streaming.