AI Buyer Insights:

Michelin, an e2open customer evaluated Oracle Transportation Management

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Michelin, an e2open customer evaluated Oracle Transportation Management

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

List of Apache Kafka Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
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%.
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.
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.
Professional Services 23000 $9.0B United States Apache Software Apache Kafka Database Management,Open-Source Database 2022 n/a
Banking and Financial Services 1000 $150M Mexico Apache Software Apache Kafka Database Management,Open-Source Database 2022 n/a
Banking and Financial Services 3800 $3.6B Brazil Apache Software Apache Kafka Database Management,Open-Source Database 2020 n/a
Banking and Financial Services 60000 $8.0B Indonesia Apache Software Apache Kafka Database Management,Open-Source Database 2020 n/a
Insurance 16000 $3.9B Germany Apache Software Apache Kafka Database Management,Open-Source Database 2019 n/a
Healthcare 53084 $222.6B United States Apache Software Apache Kafka Database Management,Open-Source Database 2017 n/a
Healthcare 60500 $163.1B United States Apache Software Apache Kafka Database Management,Open-Source Database 2020 n/a
Showing 1 to 10 of 43 entries

Buyer Intent: Companies Evaluating Apache Kafka

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Apache Kafka. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Apache Kafka for Database Management, Open-Source Database include:

  1. Iwnet Poland, a Poland based Communications organization with 10 Employees
  2. East Lancashire Railway United Kingdom, a United Kingdom based Transportation company with 30 Employees
  3. 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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FAQ - APPS RUN THE WORLD Apache Kafka Coverage

Apache Kafka is a Database Management, Open-Source Database solution from Apache Software.

Companies worldwide use Apache Kafka, from small firms to large enterprises across 21+ industries.

Organizations such as Cardinal Health, JPMorgan Chase, Centene, Humana and Lowe'S are recorded users of Apache Kafka for Database Management, Open-Source Database.

Companies using Apache Kafka are most concentrated in Healthcare, Banking and Financial Services and Insurance, with adoption spanning over 21 industries.

Companies using Apache Kafka are most concentrated in United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Apache Kafka across Americas, EMEA, and APAC.

Companies using Apache Kafka range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 11.63%, large organizations with 1,001-10,000 employees - 32.56%, and global enterprises with 10,000+ employees - 55.81%.

Customers of Apache Kafka 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 Apache Kafka customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Database Management, Open-Source Database.