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1. • 80% of the Fortune 100

     • Apache Kafka is arguably one of the most popular open-source stream processing systems today. Used by over 80% of the Fortune 100, it has countless advantages for any organization that benefits from real-time data streaming, event-driven architecture, data integration, or analytics.
     www.confluent.io/learn/apache-kafka-benefits-and-use-cases/

     Apache Kafka Benefits & Use Cases - Confluent

2. People also ask

   Why is Apache Kafka so popular?

   • Apache Kafka is hugely popular because of its features that guarantee uptime, make it easy to scale, enable Kafka to handle high volumes, and much more. In this article we will discuss the Top 10 Apache Kafka features to help you evaluate if Kafka is the right technology for your company’s business and technical needs. What is Apache Kafka?

   Top 10 Apache Kafka Features That Drive Its Popularity - Dattell

   dattell.com/data-architecture-blog/top-10-apache-kafka-features-that-drive-its-popularity/

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   Why is Kafka so popular?

   • Can process millions of events per second. Kafka has High throughput, Low Latency, and is Highly scalable. This is possible because : More brokers can be added to handle the increasing load: Kafka is able to handle a large volume of data at high speeds.

   Why Kafka is so popular? Capabilities and Real-world Applications

   medium.com/@vinciabhinav7/kafka-features-and-real-world-applications-621212e5f172

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   How many Fortune 100 companies use Kafka?

   • More than 80% of all Fortune 100 companies trust, and use Kafka. Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications.

   Apache Kafka

   kafka.apache.org/

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   What makes Kafka the best data streaming technology?

   • Below we describe the Top 10 Kafka Features that make it the best technology for many data streaming applications. Apache Kafka can scale data producers, data brokers, and data consumers. Whether you have a few data producers creating a large dataset sending to many groups of data consumers or the other way around — Kafka has you covered.

   Top 10 Apache Kafka Features That Drive Its Popularity - Dattell

   dattell.com/data-architecture-blog/top-10-apache-kafka-features-that-drive-its-popularity/

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   Is Kafka free?

   • This makes for the easy addition of new functionality, such as plugging in to other applications. Apache Kafka was developed by LinkedIn and subsequently donated to the Apache Software Foundation. Because it is open source there are no license fees to use Kafka! This software is completely free.

   Top 10 Apache Kafka Features That Drive Its Popularity - Dattell

   dattell.com/data-architecture-blog/top-10-apache-kafka-features-that-drive-its-popularity/

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   What is Kafka used for?

   • Event-Driven Architecture: Kafka can be used to build event-driven architectures, where data is processed as soon as it is generated, rather than in batches. This enables real-time data processing and analytics. Adtech: Kafka can be used to handle real-time data generated by adtech platforms, such as ad impressions, clicks, and conversions.

   Why Kafka is so popular? Capabilities and Real-world Applications

   medium.com/@vinciabhinav7/kafka-features-and-real-world-applications-621212e5f172

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3. medium.com › @vinciabhinav7 › kafka-features-andWhy Kafka is so popular? Capabilities and Real-world ... - Medium

   medium.com › @vinciabhinav7 › kafka-features-and

   Jan 27, 2023 · 1. Kafka Capabilities: Can process millions of events per second. Kafka has High throughput, Low Latency, and is Highly scalable. This is possible because : More brokers can be added to handle...

   • What is Apache Kafka Used For? Real-World ... - Medium

     Apache Kafka is a distributed streaming platform used for...

4. en.wikipedia.org › wiki › Apache_KafkaApache Kafka - Wikipedia

   en.wikipedia.org › wiki › Apache_Kafka

   • Cached

   Apache Kafka is a distributed event store and stream-processing platform. It is an open-source system developed by the Apache Software Foundation written in Java and Scala . The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds.

5. dzone.com › articles › what-is-kafkaBeginner's Guide to Everything About Kafka - DZone

   dzone.com › articles › what-is-kafka

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   Jun 21, 2022 · The most important reason Kafka is popular is Kafka’s exceptional performance. Why Is Kafka so Fast? Kafka relies heavily on the OS kernel to move data around quickly.

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6. Videos

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7. medium.com › doublecloud-insights › what-is-apacheWhat is Apache Kafka Used For? Real-World ... - Medium

   medium.com › doublecloud-insights › what-is-apache

   Feb 1, 2024 · Apache Kafka is a distributed streaming platform used for high-throughput, real-time data pipelines, initially developed at LinkedIn, now widely adopted across various industries due to its...

   • Author: Data Engineer

8. kafka.apache.orgApache Kafka

   kafka.apache.org

   • Cached

   Apache Kafka. More than 80% of all Fortune 100 companies trust, and use Kafka. Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications.

9. dattell.com › data-architecture-blog › top-10-apacheTop 10 Apache Kafka Features That Drive Its Popularity

   dattell.com › data-architecture-blog › top-10-apache

   Apache Kafka is hugely popular because of its features that guarantee uptime, make it easy to scale, enable Kafka to handle high volumes, and much more. In this article we will discuss the Top 10 Apache Kafka features to help you evaluate if Kafka is the right technology for your company’s business and technical needs.

10. dzone.com › articles › top-10-kafka-features-reasonTop 10 Kafka Features: Reasons Behind the Popularity of ...

    dzone.com › articles › top-10-kafka-features-reason

    • Cached

    Sep 4, 2018 · A brief, high-level overview of the open source big data tool, Apache Kafka, covering topics such as performance and scalability to explain Kafka's popularity.