Kafka

Overview: Apache Kafka is a robust open-source distributed event streaming platform that is trusted by over 80% of Fortune 100 companies. It excels in high-performance data pipelines, streaming analytics, data integration, and mission-critical applications, making it an indispensable tool for modern data-driven businesses.

Apache Kafka

Apache Kafka: A Distributed Streaming Platform.

Apache Kafka

Key Features

• High Throughput: Kafka delivers messages at network-limited throughput with low latency, ensuring efficient data processing across clusters of machines.
• Scalability: It can scale up to thousands of brokers and handle trillions of messages per day, demonstrating its capability to grow with your data needs.
• Durable Storage: Data streams are stored safely in a distributed, durable, and fault-tolerant manner.
• High Availability: Kafka's design supports high availability by stretching clusters over multiple zones or connecting clusters across regions.
• Built-in Stream Processing: It offers powerful stream processing capabilities including joins, aggregations, and filters with event-time accuracy and exactly-once processing.
• Versatile Connectivity: With Kafka Connect, you can easily integrate with a wide variety of event sources and sinks like databases and cloud services.
• Client Libraries: A vast selection of client libraries allows developers to interact with Kafka using their preferred programming languages.
• Vibrant Ecosystem: Benefit from a large ecosystem of open-source tools developed by the community.
• Mission-Critical Reliability: Kafka ensures message ordering, zero loss, and efficient processing for critical applications.
• Community Support: With one of the most active communities in the Apache Software Foundation and extensive resources available online, getting help is never an issue.

Kafka Screenshots

Suggested Developer Use Cases

• Data Integration Pipelines: Low-code developers can leverage Kafka to seamlessly integrate disparate data sources into a unified streaming pipeline for real-time analytics and monitoring.
• IOT Event Hub: Utilize Kafka as an event hub for IoT applications, enabling efficient collection, processing, and distribution of sensor data across various systems and services.
• Microservices Communication: Facilitate communication between microservices in a low-code environment by using Kafka as a reliable messaging system that decouples service dependencies.