Companies that use Apache Flink

Frequently asked questions

What is the source of this data?

Our data is sourced from job postings collected from millions of companies. We monitor these postings on company websites, job boards, and other recruitment platforms. Analyzing job postings provides a reliable method to understand the technologies companies are employing, including their use of internal tools.

How often is the data updated?

We refresh our data daily to ensure you are accessing the most current information available. This frequent updating process guarantees that our insights and intelligence reflect the latest developments and trends within the industry.

What is Apache Flink?

Apache Flink is a powerful distributed stream processing framework that is recognized for its high performance and low latency processing capabilities. It is an open-source platform designed to efficiently process vast amounts of streaming data in real-time, making it a popular choice for applications requiring continuous data processing and analytics.

In the domain of Big Data Tools, Apache Flink falls under the category of stream processing frameworks. Stream processing frameworks are essential components in the Big Data ecosystem, enabling organizations to handle and analyze streams of data continuously as they are generated. Apache Flink stands out with its ability to support both batch and stream processing, making it a versatile tool for various data processing needs.

Apache Flink was founded in 2014 by the Apache Software Foundation with the goal of providing a high-throughput, low-latency stream processing framework for Big Data applications. The project was motivated by the need for a system that could handle real-time data processing efficiently, especially in scenarios where traditional batch processing was not sufficient.

In terms of market share, Apache Flink has been gaining traction in recent years as organizations increasingly recognize the importance of real-time data analytics. It currently holds a significant share in the stream processing framework market, with a forecast indicating further growth in the future. The demand for real-time processing capabilities is expected to drive the continued adoption of Apache Flink in various industries, solidifying its position in the Big Data Tools category.

How to get an updated list of companies that use Apache Flink?

You can access an updated list of companies using Apache Flink by visiting TheirStack.com. Our platform provides a comprehensive database of companies utilizing various technologies and internal tools.

How many customers does Apache Flink have?

As of now, we have data on 2,597 companies that use Apache Flink.

Who uses Apache Flink?

Apache Flink is used by a diverse range of organizations across various industries, including "Software Development", "It Services And It Consulting", "Software Development", "Data Infrastructure And Analytics", "It Services And It Consulting", "Software Development", "Financial Services", "Software Development", "Broadcast Media Production And Distribution", "Financial Services". For a comprehensive list of all industries utilizing Apache Flink, please visit TheirStack.com.

What companies use Apache Flink?

Some of the companies that use Apache Flink include Rippling, Epro Infosystems, LLC, Confluent, Grepr, Geotab, Extreme Networks, Plooto, Gorgias, BBC, Wise and many more. You can find a complete list of 2,597 companies that use Apache Flink on TheirStack.com.

In which countries Apache Flink is used the most?

Based on our data, Apache Flink is most popular in United States (995 companies), United Kingdom (157 companies), India (80 companies), Germany (65 companies), Spain (65 companies), France (51 companies), Canada (49 companies), Netherlands (28 companies), Poland (26 companies), Singapore (23 companies). However, it is used by companies all over the world.

How to find companies that use Apache Flink?

You can find companies using Apache Flink by searching for it on TheirStack.com, We track job postings from millions of companies and use them to discover what technologies and internal tools they are using.