Compare Amazon Simple Queue Service (SQS) vs. Apache Kafka in 2025

Amazon Simple Queue Service (SQS)

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Description

Amazon Simple Queue Service (SQS) is a fully managed message queuing platform designed to help you decouple and scale microservices, distributed systems, and serverless applications. By removing the complexity and overhead typically associated with message-oriented middleware, SQS allows developers to concentrate on more impactful tasks. With SQS, you can effortlessly send, store, and receive messages between various software components at any scale, ensuring message integrity and independence from other services. You can quickly begin using SQS in just minutes through the AWS console, Command Line Interface, or your preferred SDK, executing three straightforward commands. This service enables the transmission of any data volume at any throughput level while maintaining message reliability and service independence. Additionally, SQS facilitates the decoupling of application components, which allows them to operate and fail independently, ultimately enhancing the fault tolerance of the overall system. By leveraging SQS, organizations can achieve greater resilience and adaptability in their application architecture.

Description

Apache Kafka® is a robust, open-source platform designed for distributed streaming. It can scale production environments to accommodate up to a thousand brokers, handling trillions of messages daily and managing petabytes of data with hundreds of thousands of partitions. The system allows for elastic growth and reduction of both storage and processing capabilities. Furthermore, it enables efficient cluster expansion across availability zones or facilitates the interconnection of distinct clusters across various geographic locations. Users can process event streams through features such as joins, aggregations, filters, transformations, and more, all while utilizing event-time and exactly-once processing guarantees. Kafka's built-in Connect interface seamlessly integrates with a wide range of event sources and sinks, including Postgres, JMS, Elasticsearch, AWS S3, among others. Additionally, developers can read, write, and manipulate event streams using a diverse selection of programming languages, enhancing the platform's versatility and accessibility. This extensive support for various integrations and programming environments makes Kafka a powerful tool for modern data architectures.