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Apache Kafka

Apache Kafka: Scalable Distributed Event Streaming

4.7
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Apache Kafka Overview

Apache Kafka is an open-source, distributed streaming platform designed for high-performance data pipelines and analytics. It supports the management of large-scale production clusters, capable of handling up to a thousand brokers and trillions of messages daily. Users can elastically scale storage and processing capabilities while efficiently managing clusters across multiple geographical locations. The platform enables seamless processing of event streams through various operations such as joins, aggregations, and transformations, ensuring precise event-time and exactly-once processing.

With its robust Connect interface, Apache Kafka integrates with numerous event sources and sinks, including popular systems like Postgres and AWS S3. The platform is suitable for a wide range of organizations, from small businesses to enterprises, and supports multiple programming languages. The comprehensive documentation provided by Apache Kafka serves as a valuable resource for users to navigate its extensive features and functionalities.

Information

Apache Kafka Integrations 93 Integrations

Apache Kafka Media Program screenshots

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Apache Kafka 0/1

Features

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Apache Kafka

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Apache Kafka: Scalable Distributed Event Streaming

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Features

  • Asynchronous Communications Protocol
  • Data Error Reduction
  • Message Encryption
  • On-Premise Installation
  • Roles
  • Permissions
  • Storage
  • Retrieval

Alternatives

Apache Kafka Competitors Comparisons

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IBM MQ on Cloud

IBM MQ

Red Hat AMQ

HarperDB

Efficient Messaging with IBM MQ on Cloud

Reliable Messaging Solution for Businesses

Red Hat AMQ: Reliable Messaging Platform for Integration

HarperDB: Efficient Real-Time Data Streaming Solution

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4.5
4.4
4.4

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Apache Kafka

Apache Kafka: Scalable Distributed Event Streaming

4.7
Icon of program: Apache Kafka