List of Apache Kafka Customers
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Since 2010, our global team of researchers has been studying Apache Kafka 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 Apache Kafka for Database Management, Open-Source Database 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 Apache Kafka for Database Management, Open-Source Database include: Cardinal Health, a United States based Healthcare organisation with 53084 employees and revenues of $222.58 billion, JPMorgan Chase, a United States based Banking and Financial Services organisation with 317233 employees and revenues of $180.60 billion, Centene, a United States based Healthcare organisation with 60500 employees and revenues of $163.07 billion, Humana, a United States based Insurance organisation with 65680 employees and revenues of $117.76 billion, Lowe'S, a United States based Retail organisation with 270000 employees and revenues of $83.67 billion and many others.
Contact us if you need a completed and verified list of companies using Apache Kafka, 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 IaaS software purchases.
The Apache Kafka 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 IaaS 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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Afiniti | Professional Services | 2000 | $350M | Bermuda | Apache Software | Apache Kafka | Database Management,Open-Source Database | 2020 | n/a |
In 2020, Afiniti deployed Apache Kafka as a Distributed Streaming Platform to underpin real time eventing for its AI driven customer experience workloads. Apache Kafka was provisioned as the core streaming backbone to support event ingestion, durable topic streams, and scalable consumer groups feeding downstream analytics and model scoring.
The implementation included change data capture workflows and stream processing, pairing Apache Kafka with Spark for in flight transformation and low latency analytics. Functional capabilities implemented included source connectors for CDC, topic partitioning for throughput scaling, stream processing for feature extraction, and integration points for dimensional modeling and Medallion Architecture outputs.
Kafka was integrated with a heterogeneous data stack, including Talend, Airbyte, and QLIK Replicate for pipeline ingestion, Azure Data Factory, Databricks, and Airflow for orchestration, and Snowflake and AWS Redshift as analytical targets. Operational data sources included MySQL, SQL Server, Greenplum, and PostgreSQL, and application interoperability was achieved through C#.NET API integrations and visualization via Apache Superset.
The rollout supported product deployments across Europe and a global data portal used by more than 10 global teams, with documentation maintained in Confluence and Gliffy to streamline onboarding. Governance emphasized capacity planning, automated validation pipelines, and team training, and the combined Kafka and Spark streaming layer contributed to a reported 30% reduction in processing latency while automation and validation work reduced manual effort by 20% and improved data integrity to 99.9%.
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Allstate | Insurance | 55000 | $67.7B | United States | Apache Software | Apache Kafka | Database Management,Open-Source Database | 2023 | n/a |
In 2023, Allstate implemented Apache Kafka as a Distributed Streaming Platform to support real-time and batch data processing across its cloud environments. The deployment focused on enabling streaming ingestion and event-driven pipelines managed by Allstate data engineering teams, with Apache Kafka positioned as the central message backbone for data analytics and machine learning workflows.
The implementation of Apache Kafka included configuration for stream processing and connector-based ingestion patterns, and was coupled with Spark and Kubernetes for processing and orchestration. Engineers developed data pipelines and storage solutions in AWS using S3, RDS, and Redshift, while also leveraging Azure and GCP capabilities such as Dataflow and Bigtable, and integrating analytical stores including Snowflake and Databricks and model endpoints in SageMaker.
Operational integrations explicitly included Talend ETL jobs, Azure Data Factory, T SQL, API Gateway, and programmatic access via the AWS Boto3 SDK, enabling hybrid batch and streaming flows. The Allstate Apache Kafka Distributed Streaming Platform supported analytics and machine learning business functions, and the deployment spanned Northbrook, Illinois based and remote data engineering resources collaborating across clouds.
Governance and delivery followed Agile practices, with teams building Epics, features, and user stories and coordinating with stakeholders and project managers. The rollout incorporated CI CD pipelines managed via Terraform and containerized services using Docker and Kubernetes to standardize deployments and operational handoff to platform and analytics teams.
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American Express | Banking and Financial Services | 75100 | $65.9B | United States | Apache Software | Apache Kafka | Database Management,Open-Source Database | 2015 | n/a |
In 2015, American Express implemented Apache Kafka as a Distributed Streaming Platform to support a business drive to move outdated monolithic Loyalty and Benefits platforms to a loosely coupled, microservice-based architecture. The work focused on decoupling event flows from core business logic, enabling asynchronous communication patterns between newly developed Go microservices and existing platform components. Apache Kafka was positioned as the central event backbone for loyalty and benefits domain events, providing durable event storage, pub sub distribution, and ordered streams for downstream processing.
The implementation included designing domain event models for Loyalty and Benefits, configuring Kafka topics to reflect business event types, and instrumenting Go services as producers and consumers. Stream processing and consumer group architectures were used to parallelize work and isolate failure domains. Operational configuration emphasized partitioning for throughput, replication for durability, and retention policies aligned with business event lifecycle requirements.
Deployment architecture centered on clustered Apache Kafka brokers integrated with the microservice runtime, with standard Distributed Streaming Platform capabilities such as topic management, consumer group coordination, and offset management used to achieve loose coupling. The technical scope covered the Loyalty and Benefits application areas, with event contracts and message schemas governing interactions between services. Rolling updates and incremental service onboarding allowed the teams to progressively convert synchronous monolithic flows into event driven workflows.
Governance focused on messaging contract discipline, topic naming standards, and consumer ownership to prevent schema drift and ensure clear operational ownership across the affected business functions. The initiative required restructuring application boundaries and operational runbooks to support event oriented monitoring and incident response, while preserving transactional consistency through careful event design and processing semantics.
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Professional Services | 23000 | $9.0B | United States | Apache Software | Apache Kafka | Database Management,Open-Source Database | 2022 | n/a |
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Banking and Financial Services | 1000 | $150M | Mexico | Apache Software | Apache Kafka | Database Management,Open-Source Database | 2022 | n/a |
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Banking and Financial Services | 3800 | $3.6B | Brazil | Apache Software | Apache Kafka | Database Management,Open-Source Database | 2020 | n/a |
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Banking and Financial Services | 60000 | $8.0B | Indonesia | Apache Software | Apache Kafka | Database Management,Open-Source Database | 2020 | n/a |
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Insurance | 16000 | $3.9B | Germany | Apache Software | Apache Kafka | Database Management,Open-Source Database | 2019 | n/a |
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Healthcare | 53084 | $222.6B | United States | Apache Software | Apache Kafka | Database Management,Open-Source Database | 2017 | n/a |
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Healthcare | 60500 | $163.1B | United States | Apache Software | Apache Kafka | Database Management,Open-Source Database | 2020 | n/a |
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Buyer Intent: Companies Evaluating Apache Kafka
- Iwnet Poland, a Poland based Communications organization with 10 Employees
- East Lancashire Railway United Kingdom, a United Kingdom based Transportation company with 30 Employees
- Pittston Area School District United States, a United States based Education organization with 378 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
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