List of Apache Flink Customers
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Since 2010, our global team of researchers has been studying Apache Flink 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 Flink for Analytics and BI 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 Flink for Analytics and BI include: Allstate, a United States based Insurance organisation with 55000 employees and revenues of $67.69 billion, Hillstone Networks, a United States based Professional Services organisation with 2000 employees and revenues of $290.0 million and many others.
Contact us if you need a completed and verified list of companies using Apache Flink, 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 Apache Flink 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 | Insight Source |
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Allstate | Insurance | 55000 | $67.7B | United States | Apache Software | Apache Flink | Analytics and BI | 2024 | n/a | In 2024 Allstate implemented Apache Flink for Stream processing to support real-time ingestion and low latency event processing across its Azure data engineering environment. Apache Flink streaming applications were implemented to handle continuous data streams, and the implementation was credited with achieving 20% faster results compared to Apache Spark Streaming according to internal Azure Data Engineer reporting. Implementation scope centered on production streaming pipelines that automated data ingestion, transformation, and loading within Azure. Configuration included stateful stream processing jobs implemented in Apache Flink, orchestration of ETL workflows via Apache Airflow, and use of Azure SQL databases to persist processed results for downstream consumption. The work operated alongside Apache Spark clusters on Azure Databricks that processed large batch volumes, creating a hybrid streaming and batch architecture. Integrations included Apache Flink connected to Azure SQL for serving curated datasets, integration points with Azure Databricks for complementary Spark processing, and Airflow for scheduling and dependency management. Processed outputs were surfaced to BI tooling including Power BI, enabling analytics teams to leverage interactive reports built from the streaming and batch data layers. The implementation covered data engineering and analytics functions within Allstate’s centralized Azure platform. Governance and operational practices emphasized pipeline orchestration, monitoring of Flink job health, and automated data workflows through Airflow. Configuration management and database optimization practices were applied to Azure SQL to improve query performance, and cluster tuning was used across Flink and Databricks to support mixed low latency and high throughput workloads. Outcomes reported in the engagement included a 30% improvement in overall data processing efficiency for automated pipelines, a 20% improvement in Azure SQL query performance, and processing capacity at the scale of hundreds of terabytes for batch workloads, as documented by the Azure Data Engineer contract. | |
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Hillstone Networks | Professional Services | 2000 | $290M | United States | Apache Software | Apache Flink | Analytics and BI | 2022 | n/a | In 2022, Hillstone Networks implemented Apache Flink as the core stream processing runtime for a real-time big data monitoring and alarm initiative, using Apache Flink for Stream processing. The implementation was positioned to reduce alert latency for product telemetry and operational monitoring, and the year 2022 marks the build-out of those streaming pipelines. The delivery team used Java to develop a big data monitoring and alarm module that consumes Apache Kafka topics and executes real-time event processing with Apache Flink. The Apache Flink deployment supported stateful stream processing workflows typical for stream processing, including event-time handling, windowed aggregations, and state management, enabling continuous anomaly detection and alarm emission as part of the monitoring module. Integrations explicitly included Apache Kafka as the ingestion layer, with processing logic implemented in Apache Flink to drive the alarm subsystem. Parallel work included a Python and SQL based Oracle database performance and behavior monitoring tool that supported IT operations and management, and a frontend packaging migration using Webpack, JavaScript, and Vue to streamline deployment for the web-based monitoring product. Governance and operational coverage focused on product engineering and IT operations within Hillstone Networks, with the implemented module used to shorten alarm intervals and improve manager work efficiency as reported in project notes. The narrative centers on Apache Flink for Stream processing, Hillstone Networks, and the concrete integration with Apache Kafka and adjacent monitoring tools developed during the 2022 implementation. |
Buyer Intent: Companies Evaluating Apache Flink
- Singapore Economic Development Board (EDB), a Singapore based Government organization with 10 Employees
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