Amazon Simple Queue Service (SQS) is a fully managed message queuing service that enables you to decouple and scale microservices, distributed systems, and serverless applications. SQS eliminates the complexity and overhead associated with managing and operating message oriented middleware, and empowers developers to focus on differentiating work. Using SQS, you can send, store, and receive messages between software components at any volume, without losing messages or requiring other services to be available. Get started with SQS in minutes using the AWS console, Command Line Interface or SDK of your choice, and three simple commands.
SQS offers two types of message queues. Standard queues offer maximum throughput, best-effort ordering, and at-least-once delivery. SQS FIFO queues are designed to guarantee that messages are processed exactly once, in the exact order that they are sent.
Redis Labs is the home of Redis, the world’s most popular in-memory database, and commercial provider of Redis Enterprise, which delivers superior performance, unmatched reliability, and the best TCO. Initially employed as a caching layer, Redis is now used by virtually every large enterprise, startup, and government organization to power use cases such as e-commerce, AI/ML, search, fraud detection, real-time inventory management, user session stores, and much more.
Amazon SQS is ranked 6th in Message Queue (MQ) Software with 1 review while RedisLabs is ranked 4th in In-Memory Data Store Services. Amazon SQS is rated 8.0, while RedisLabs is rated 0.0. The top reviewer of Amazon SQS writes "An affordable, easy-to-scale solution that is simple to deploy and maintain". On the other hand, Amazon SQS is most compared with Amazon MQ, Apache Kafka, Oracle Event Hub Cloud Service, IBM MQ and Red Hat AMQ, whereas RedisLabs is most compared with Google Cloud Memorystore, ActiveMQ and Amazon ElastiCache.
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